Publikationen

Hier finden Sie von Know-Center MitarbeiterInnen verfasste wissenschaftliche Publikationen

2019

Barreiros Carla, Pammer-Schindler Viktoria, Veas Eduardo Enrique

Planting the Seed of Positive Human-IoT Interaction

International Journal of Human–Computer Interaction, Taylor and Francis, 2019

Journal
We present a visual interface for communicating the internal state of a coffee machine via a tree metaphor. Nature-inspired representations have a positive impact on human well-being. We also hypothesize that representing the coffee machine asa tree stimulates emotional connection to it, which leads to better maintenance performance.The first study assessed the understandability of the tree representation, comparing it with icon-based and chart-based representations. An online survey with 25 participants indicated no significant mean error difference between representations.A two-week field study assessed the maintenance performance of 12 participants, comparing the tree representation with the icon-based representation. Based on 240 interactions with the coffee machine, we concluded that participants understood themachine states significantly better in the tree representation. Their comments and behavior indicated that the tree representation encouraged an emotional engagement with the machine. Moreover, the participants performed significantly more optional maintenance tasks with the tree representation.
2019

Pammer-Schindler Viktoria

alt.chi Commentary to: Homewood, Sarah: Inaction as a Design Decision: Reflections on Not Designing Self-Tracking Tools for Menopaus

2019 CHI Extended Abstracts on Human Factors in Computing System, ACM, 2019

Konferenz
This is a commentary of mine, created in the context of an open review process, selected for publication alongside the accepted original paper in a juried process, and published alongside the paper at the given DOI,
2019

Xie Benjamin, Harpstead Erik, DiSalvo Betsy, Slovak Petr, Kharuffa Ahmed, Lee Michael J., Pammer-Schindler Viktoria, Ogan Amy, Williams Joseph Jay

Learning, Education and HCI

Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing System, ACM, 2019

Konferenz
2019

Kaiser Rene, Thalmann Stefan, Pammer-Schindler Viktoria, Fessl Angela

Collaborating in a Research and Development Project: Knowledge Protection Practices applied in a Co-opetitive Setting

10th Conference Professional Knowledge Management, Data-Driven Knowledge Management workshop, proWM’19, Potsdam, DE, 2019

Konferenz
Organisations participate in collaborative projects that include competitors for a number of strategic reasons, even whilst knowing that this requires them to consider both knowledge sharing and knowledge protection throughout collaboration. In this paper, we investigated which knowledge protection practices representatives of organizations employ in a collaborative research and innovation project that can be characterized as a co-opetitive setting. We conducted a series of 30 interviews and report the following seven practices in structured form: restrictive partner selection in operative project tasks, communication through a gatekeeper, to limit access to a central platform, to hide details of machine data dumps, to have data not leave a factory for analysis, a generic model enabling to hide usage parameters, and to apply legal measures. When connecting each practice to a priori literature, we find three practices focussing on collaborative data analytics tasks had not yet been covered so far.
2019

Renner Bettina, Wesiak Gudrun, Pammer-Schindler Viktoria, Prilla Michael, Müller Lars, Morosini Dalia, Mora Simone, Faltin Nils, Cress Ulrike

Computer-supported reflective learning: How apps can foster reflection at work.

Behaviour & Information Technology, Taylor & Francis, Taylor & Francis, 2019

Journal
2019

Fessl Angela, Simic Ilija, Barthold Sabine, Pammer-Schindler Viktoria

Concept and Development of an Information Literacy Curriculum Widget

Conference on Learning Information Literacy , Deutschland, 2019

Konferenz
Information literacy, the access to knowledge and use of it are becoming a precondition for individuals to actively take part in social,economic, cultural and political life. Information literacy must be considered as a fundamental competency like the ability to read, write and calculate. Therefore, we are working on automatic learning guidance with respect to three modules of the information literacy curriculum developed by the EU (DigComp 2.1 Framework). In prior work, we havelaid out the essential research questions from a technical side. In this work, we follow-up by specifying the concept to micro learning, and micro learning content units. This means, that the overall intervention that we design is concretized to: The widget is initialized by assessing the learners competence with the help of a knowledge test. This is the basis for recommending suitable micro learning content, adapted to the identifi ed competence level. After the learner has read/worked through the content, the widget asks a reflective question to the learner. The goal of the reflective question is to deepen the learning. In this paper we present the concept of the widget and its integration in a search platform.
2019

Breitfuß Gert, Fruhwirth Michael, Pammer-Schindler Viktoria, Stern Hermann, Dennerlein Sebastian

The Data-Driven Business Value Matrix - A Classification Scheme for Data-Driven Business Models

32nd Bled eConference, University of Maribor, Faculty of Organizational Sciences, HUMANIZING TECHNOLOGY FOR A SUSTAINABLE SOCIETY JUNE 16 – 19, 2019, BLED, SLOVENIA,, Andreja Pucihar, PhD, et al., University of Maribor Press, Bled, Slovenia, 2019

Konferenz
Increasing digitization is generating more and more data in all areas ofbusiness. Modern analytical methods open up these large amounts of data forbusiness value creation. Expected business value ranges from process optimizationsuch as reduction of maintenance work and strategic decision support to businessmodel innovation. In the development of a data-driven business model, it is usefulto conceptualise elements of data-driven business models in order to differentiateand compare between examples of a data-driven business model and to think ofopportunities for using data to innovate an existing or design a new businessmodel. The goal of this paper is to identify a conceptual tool that supports datadrivenbusiness model innovation in a similar manner: We applied three existingclassification schemes to differentiate between data-driven business models basedon 30 examples for data-driven business model innovations. Subsequently, wepresent the strength and weaknesses of every scheme to identify possible blindspots for gaining business value out of data-driven activities. Following thisdiscussion, we outline a new classification scheme. The newly developed schemecombines all positive aspects from the three analysed classification models andresolves the identified weaknesses.
2018

Barreiros Carla, Veas Eduardo Enrique, Pammer-Schindler Viktoria

Can a green thumb make the difference? Using a Nature Metaphor to Communicate Sensor Information of a Coffee Machine

IEEE Consumers Electronics Magazine, 2018

Journal
This paper describes a novel visual metaphor to communicate sensor information of a connected device. The Internet of Things aims to extend every device with sensing and computing capabilities. A byproduct is that even domestic machines become increasingly complex, tedious to understand and maintain. This paper presents a prototype instrumenting a coffee machine with sensors. The machine streams the sensor data, which is picked up by an augmented reality application serving a nature metaphor. The nature metaphor, BioAR, represents the status derived from the coffee machine sensors in the features of a 3D virtual tree. The tree is meant to pass for a living proxy of the machine it represents. The metaphor, shown either with AR or a simple holographic display, reacts to the user manipulation of the machine and its workings. A first user study validates that the representation is correctly understood, and that it inspires affect for the machine. A second user study validates that the metaphor scales to a large number of machines.
2018

Pammer-Schindler Viktoria, Thalmann Stefan, Fessl Angela, Füssel Julia

Virtualizing face-2-face trainings for training senior professionals: A Comparative Case Study on Financial Auditor

AC, London, 2018

Konferenz
Traditionally, professional learning for senior professionalsis organized around face-2-face trainings. Virtual trainingsseem to offer an opportunity to reduce costs related to traveland travel time. In this paper we present a comparative casestudy that investigates the differences between traditionalface-2-face trainings in physical reality, and virtualtrainings via WebEx. Our goal is to identify how the way ofcommunication impacts interaction between trainees,between trainees and trainers, and how it impactsinterruptions. We present qualitative results fromobservations and interviews of three cases in differentsetups (traditional classroom, web-based with allparticipants co-located, web-based with all participants atdifferent locations) and with overall 25 training participantsand three trainers. The study is set within one of the BigFour global auditing companies, with advanced seniorauditors as learning cohort
2018

Wertner Alfred, Stern Hermann, Pammer-Schindler Viktoria, Weghofer Franz

Talk2Me – Sprachgesteuerte Kommissionierung mit off-the-shelf Hardware

Beiträge zum Usability Day XVI: Assistenztechnologien in der Arbeitswelt , Patrick Jost, Guido Kempter, PABST SCIENCE PUBLISHERS, 2018

Konferenz
Sprachsteuerung stellt ein potentiell sehr mächtiges Werkzeug dar und sollte rein von der Theorie (grundlegende Spracheingabe) her schon seit 20 Jahren einsetzbar sein. Sie ist in der Vergangenheit im industriellen Umfeld jedoch primär an nicht ausgereifter Hardware oder gar der Notwendigkeit einer firmenexternen aktiven Datenverbindung gescheitert. Bei Magna Steyr am Standort Graz wird die Kommissionierung bisher mit Hilfe von Scan-nern erledigt. Dieser Prozess ließe sich sehr effektiv durch eine durchgängige Sprachsteue-rung unterstützen, wenn diese einfach, zuverlässig sowie Compliance-konform umsetzbar wäre und weiterhin den Menschen als zentralen Mittelpunkt und Akteur (Stichwort Hu-man in the Loop) verstehen würde. Daher wurden bestehende Spracherkennungssysteme für mobile Plattformen sowie passende „off the shelf“ Hardware (Smartphones und Headsets) ausgewählt und prototypisch als Android Applikation („Talk2Me“) umgesetzt. Ziel war es, eine Aussage über die Einsetzbarkeit von sprachgesteuerten mobilen Anwen-dungen im industriellen Umfeld liefern zu können.Mit dem Open Source Speech Recognition Kit CMU Sphinx in Kombination mit speziell auf das Vokabular der abgebildeten Prozesse angepassten Wörterbüchern konnten wir eine sehr gute Erkennungsrate erreichen ohne das Sprachmodell individuell auf einzelne Mitar-beiterInnen trainieren zu müssen. Talk2Me zeigt innovativ, wie erprobte, kostengünstige und verfügbare Technologie (Smartphones und Spracherkennung als Eingabe sowie Sprachsynthese als Ausgabe) Ein-zug in unseren Arbeitsalltag haben kann.
2018

Fessl Angela, Wertner Alfred, Pammer-Schindler Viktoria

Digging for Gold: Motivating Users to Explore Alternative Search Interfaces

Proceedings of the 13th European Conference on Technology Enhanced Learning (ECTEL), Pammer-Schindler, Viktoria, Perez-Sanagustin, Mar, Drachsler, Hendrik, and Elferink, Raymond, and Scheffel, Maren, Springer International Publishing, 2018

Konferenz
In this demonstration paper, we describe a prototype that visualizes usage of different search interfaces on a single search platform with the goal to motivate users to explore alternative search interfaces. The underlying rationale is, that by now the one-line-input to search engines is so standard, that we can assume users’ search behavior to be operationalized. This means, that users may be reluctant to explore alternatives even though these may be suited better to their context of use / search task.
2018

Cicchinelli Analia, Veas Eduardo Enrique, Pardo Abelardo, Pammer-Schindler Viktoria, Fessl Angela, Barreiros Carla, Lindstaedt Stefanie

Finding traces of self-regulated learning in activity streams

ACM Conference on Learning Analytics and Knowledge, LAK , ACM, ACM, 2018

Konferenz
This paper aims to identify self-regulation strategies from students' interactions with the learning management system (LMS). We used learning analytics techniques to identify metacognitive and cognitive strategies in the data. We define three research questions that guide our studies analyzing i) self-assessments of motivation and self regulation strategies using standard methods to draw a baseline, ii) interactions with the LMS to find traces of self regulation in observable indicators, and iii) self regulation behaviours over the course duration. The results show that the observable indicators can better explain self-regulatory behaviour and its influence in performance than preliminary subjective assessments.
2018

Dennerlein Sebastian, Kowald Dominik, Lex Elisabeth, Ley Tobias, Pammer-Schindler Viktoria

Simulation-based Co-Creation of Algorithm

Workshop on Co-Creation in the Design, Development and Implementation of Technology-Enhanced Learning (CCTEL'2018, Springer, Leeds, England, 2018

Konferenz
Co-Creation methods for interactive computer systems design are by now widely accepted as part of the methodological repertoire in any software development process. As the communityis becoming more and more aware of the factthat software is driven by complex, artificially intelligent algorithms, the question arises what “co-creation of algorithms” in the sense of users ex-plicitly shaping the parameters of algorithms during co-creation, could mean, and how it would work. They are not tangible like featuresin a tool and desired effects are harder to be explained or understood. Therefore, we propose an it-erative simulation-based Co-Design approach that allows to Co-Create Algo-rithms together with the domain professionals by making their assumptions and effects observable. The proposal is a methodological idea for discussion within the EC-TEL community, yet to be applied in a research practice
2018

Fruhwirth Michael, Breitfuß Gert, Pammer-Schindler Viktoria

Exploring challenges in data-driven business model innovation from Austrian enterprises

Proceedings in XXIX ISPIM Innovation Conference, Stockholm, 2018

Konferenz
The increasing amount of generated data and advances in technology and data analytics and are enablers and drivers for new business models with data as a key resource. Currently established organisations struggle with identifying the value and benefits of data and have a lack of know-how, how to develop new products and services based on data. There is very little research that is narrowly focused on data-driven business model innovation in established organisations. The aim of this research is to investigate existing activities within Austrians enterprises with regard to exploring data-driven business models and challenges encountered in this endeavour. The outcome of the research in progress paper are categories of challenges related to organisation, business and technology, established organisations in Austria face during data-driven business model innovation
2018

Barreiros Carla, Veas Eduardo Enrique, Pammer-Schindler Viktoria

Bringing Nature into Our Lives - Using Biophilic Design and Calm Computing Principles to Improve Well-Being and Performance

Human-Computer Interaction. Interaction in Context., Kurosu, Masaaki, Springer International Publishing, Cham, 2018

Konferenz
In the context of the Internet of Things (IoT), every device have sensing and computing capabilities to enhance many aspects of human life. There are more and more IoT devices in our homes and at our workplaces, and they still depend on human expertise and intervention for tasks as maintenance and (re)configuration. Using biophilic design and calm computing principles, we developed a nature-inspired representation, BioIoT, to communicate sensor information. This visual language contributes to the users’ well-being and performance while being as easy to understand as traditional data representations. Our work is based on the assumption that if machines are perceived to be more like living beings, users will take better care of them, which ideally would translate into a better device maintenance. In addition, the users’ overall well-being can be improved by bringing nature to their lives. In this work, we present two use case scenarios under which the BioIoT concept can be applied and demonstrate its potential benefits in households and at workplaces.
2018

Pammer-Schindler Viktoria, Fessl Angela, Wertner Alfred

Challenges in Developing Automatic Learning Guidance in Relation to an Information Literacy Curriculum

CEUR Workshop Proceedings, Angela Fessl, Stefan Thalmann, Mathieu d'Aquin, Peter Holtz, Stefan Dietze , 2018

Konferenz
Becoming a data-savvy professional requires skills and competencesin information literacy, communication and collaboration, and content creationin digital environments. In this paper, we present a concept for automatic learningguidance in relation to an information literacy curriculum. The learning guidanceconcept has three components: Firstly, an open learner model in terms of an informationliteracy curriculum is created. Based on the data collected in the learnermodel, learning analytics is used in combination with a corresponding visualizationto present the current learning status of the learner. Secondly, reflectionprompts in form of sentence starters or reflective questions adaptive to the learnermodel aim to guide learning. Thirdly, learning resources are suggested that arestructured along learning goals to motivate learners to progress. The main contributionof this paper is to discuss what we see as main research challenges withrespect to existing literature on open learner modeling, learning analytics, recommendersystems for learning, and learning guidance.
2018

Fessl Angela, Wesiak Gudrun, Pammer-Schindler Viktoria

Transfer of Theoretical Knowledge into Work Practice: A Reflective Quiz for Stroke Nurses.

Knowledge Management in Digital Change, North, K; Maier, R.; Haas. O;, Springer, Cham, 2018

Buch
Managing knowledge in periods of digital change requires not only changes in learning processes but also in knowledge transfer. For this knowledge transfer, we see reflective learning as an important strategy to keep the vast body of theoretical knowledge fresh and up-to-date, and to transfer theoretical knowledge to practical experience. In this work, we present a study situated in a qualification program for stroke nurses in Germany. In the seven-week study, 21 stroke nurses used a quiz on medical knowledge as an additional learning instrument. The quiz contained typical quiz questions (“content questions”) as well as reflective questions that aimed at stimulating nurses to reflect on the practical relevance of the learned knowledge. We particularly looked at how reflective questions can support the transfer of theoretical knowledge into practice. The results show that by playful learning and presenting reflective questions at the right time, participants reflected and related theoretical knowledge to practical experience.
2017

Pammer-Schindler Viktoria, Fessl Angela, Wiese Michael, Thalmann Stefan

Improving Search Strategies of Auditors – A Focus Group on Reflection Interventions

ARTEL Workshop at EC-TEL 2017, Tallin, Estland, 2017

Konferenz
Financial auditors routinely search internal as well as public knowledge bases as part of the auditing process. Efficient search strategies are crucial for knowledge workers in general and for auditors in particular. Modern search technology quickly evolves; and features beyond keyword search like fac-etted search or visual overview of knowledge bases like graph visualisations emerge. It is therefore desirable for auditors to learn about new innovations and to explore and experiment with such technologies. In this paper, we present a reflection intervention concept that intends to nudge auditors to reflect on their search behaviour and to trigger informal learning in terms of by trying out new or less frequently used search features. The reflection intervention concept has been tested in a focus group with six auditors using a mockup. Foremost, the discussion centred on the timing of reflection interventions and how to raise mo-tivation to achieve a change in search behaviour.
2017

Thalmann Stefan, Pammer-Schindler Viktoria

Die Rolle des Mitarbeiters in der Smart Factory

Wissensmanagement, 2017

Journal
Aktuelle Untersuchungen zeigen einerseits auf, dass der Mensch weiterhin eine zentrale Rolle in der Industrie spielt. Andererseits ist aber auch klar, dass die Zahl der direkt in der Produktion beschäftigten Mitarbeter sinken wird. Die Veränderung wird dahin gehen, dass der Mensch weniger gleichförmige Prozese bearbeitet, stattdessen aber in der Lage sein muss, sich schnell ändernden Arbeitstätigkeiten azupassen und individualisierte Fertigungsprozesse zu steuern. Die Reduktion der Mitarbeiter hat jedoch auch eine Reduktion von Redunanzen zur Folge. Dies führt dazu, dass dem Einzelnen mehr Verantwortung übertragen wird. Als Folge haben Fehlentscheidungen eine görßere Tragweite und bedeuten somit auch ein höheres Risikio. Der Erfolg einer Industrie 4.0 Kampagne wird daher im Wesentlichen von den Anpassungsfähigkeiten der Mitarbeiter abhängen.
2017

Thalmann Stefan, Larrazábal Jorge, Pammer-Schindler Viktoria, Kreuzthaler Armin, Fessl Angela

Fast Language Learning: Being Able to Manage Projects in a Foreign Language within Two Month

EdMedia: World Conference on Educational Media and Technology, Association for the Advancement of Computing in Education (AACE, Washington, DC, United States, 2017

Konferenz
n times of globalization, also workforce needs to be able to go global. This holds true especially for technical experts holding an exclusive expertise. Together with a global manufacturing company, we addressed the challenge of being able to send staff into foreign countries for managing technical projects in the foreign language. We developed a language learning concept that combines a language learning platform with conventional individual but virtually conducted coaching sessions. In our use case, we developed this ...
2017

Barreiros Carla, Veas Eduardo Enrique, Pammer-Schindler Viktoria

BioIoT: Communicating Sensory Information of a Coffee Machine Using a Nature Metaphor

CHI '17 CHI Conference on Human Factors in Computing Systems, ACM, ACM, Denver, Colorado, USA, 2017

Konferenz
In our research we explore representing the state of production machines using a new nature metaphor, called BioIoT. The underlying rationale is to represent relevant information in an agreeable manner and to increase machines’ appeal to operators. In this paper we describe a study with twelve participants in which sensory information of a coffee machine is encoded in a virtual tree. All participants considered the interaction with the BioIoT pleasant; and most reported to feel more inclined to perform machine maintenance, take “care” for the machine, than given classic state representation. The study highlights as directions for follow-up research personalization, intelligibility vs representational power, limits of the metaphor, and immersive visualization.
2017

Pammer-Schindler Viktoria, Fessl Angela, Wesiak Gudrun, Feyertag Sandra, Rivera-Pelayo Verónica

In-app Reflection Guidance: Lessons Learned across Four Field Trials at the Workplace

IEEE Transactions on Learning Technologies, IEEE, 2017

Journal
This paper presents a concept for in-app reflection guidance and its evaluation in four work-related field trials. By synthesizing across four field trials, we can show that computer-based reflection guidance can function in the workplace, in the sense of being accepted as technology, being perceived as useful and leading to reflective learning. This is encouraging for all endeavours aiming to transfer existing knowledge on reflection supportive technology from educational settings to the workplace. However,reflective learning in our studies was mostly visible to limited depth in textual entries made in the applications themselves; and proactive reflection guidance technology like prompts were often found to be disruptive. We offer these two issues as highly relevant questions for future research.
2017

Luzhnica Granit, Veas Eduardo Enrique, Stein Sebastian, Pammer-Schindler Viktoria, Williamson John, Murray-Smith Roderick

Personalising Vibrotactile Displays through Perceptual Sensitivity Adjustment

Proceedings of the 2017 ACM International Symposium on Wearable Computing, ACM, Maui, Hawai, USA, 2017

Konferenz
Haptic displays are commonly limited to transmitting a dis- crete set of tactile motives. In this paper, we explore the transmission of real-valued information through vibrotactile displays. We simulate spatial continuity with three perceptual models commonly used to create phantom sensations: the lin- ear, logarithmic and power model. We show that these generic models lead to limited decoding precision, and propose a method for model personalization adjusting to idiosyncratic and spatial variations in perceptual sensitivity. We evaluate this approach using two haptic display layouts: circular, worn around the wrist and the upper arm, and straight, worn along the forearm. Results of a user study measuring continuous value decoding precision show that users were able to decode continuous values with relatively high accuracy (4.4% mean error), circular layouts performed particularly well, and per- sonalisation through sensitivity adjustment increased decoding precision.
2017

Pammer-Schindler Viktoria, Rivera-Pelayo Verónica, Fessl Angela, Müller Lars

Introducing Mood Self-Tracking at Work: Empirical Insights from Call Centers

ACM Transactions on Computer-Human Interaction (TOCHI), ACM New York, NY, USA , 2017

Journal
The benefits of self-tracking have been thoroughly investigated in private areas of life, like health or sustainable living, but less attention has been given to the impact and benefits of self-tracking in work-related settings. Through two field studies, we introduced and evaluated a mood self-tracking application in two call centers to investigate the role of mood self-tracking at work, as well as its impact on individuals and teams. Our studies indicate that mood self-tracking is accepted and can improve performance if the application is well integrated into the work processes and matches the management style. The results show that (i) capturing moods and explicitly relating them to work tasks facilitated reflection, (ii) mood self-tracking increased emotional awareness and this improved cohesion within teams, and (iii) proactive reactions by managers to trends and changes in team members’ mood were key for acceptance of reflection and correlated with measured improvements in work performance. These findings help to better understand the role and potential of self-tracking in work settings and further provide insights that guide future researchers and practitioners to design and introduce these tools in a workplace setting.
2017

Lukas Sabine, Pammer-Schindler Viktoria, Almer Alexander, Schnabel Thomas

Process optimization based on a multi-level management system for forest fire situations.

Workshop Data-Driven Decision Support in Digitized Work Environments - i-Know Workshop 2017, 2017

Konferenz
2017

Köfler Armin, Pammer-Schindler Viktoria, Almer Alexander, Schnabel Thomas

Supporting decision making in security forces’ command centre at large-scale events via videobased situation monitoring and base data supply - Extended Abstract

Workshop on Data-Driven Decision Support in Digitized Work Environments - i-Know Workshop 2017, Graz, 2017

Konferenz
2017

Stern Hermann, Dennerlein Sebastian, Pammer-Schindler Viktoria, Ginthör Robert, Breitfuß Gert

Bringing Big Data to Adolescence - Specifying Business Models by Practice

Institute of Systems Sciences, Innovation and Sustainability Research , Merangasse 18 /I , A - 8010 Graz, Austria, Baumgartner, R.J., Fuellsack, M., Gelbmann, U., Rauter, R, Graz, Austria, 2017

Konferenz
To specify the current understanding of business models in the realm of Big Data, we used a qualitative approach analysing 25 Big Data projects spread over the domains of Retail, Energy, Production, and Life Sciences, and various company types (SME, group, start-up, etc.). All projects have been conducted in the last two years at Austria’s competence center for Data-driven Business and Big Data Analytics, the Know-Center.
2017

Breitfuß Gert, Kaiser Rene, Kern Roman, Kowald Dominik, Lex Elisabeth, Pammer-Schindler Viktoria, Veas Eduardo Enrique

i-Know Workshops 2017

CEUR Workshop Proceedings for i-know 2017 conference, CEUR , CEUR, Graz, Austria, 2017

Buch
Proceedings of the Workshop Papers of i-Know 2017, co-located with International Conference on Knowledge Technologies and Data-Driven Business 2017 (i-Know 2017), Graz, Austria, October 11-12, 2017.
2017

Pammer-Schindler Viktoria, Fessl Angela, Weghofer Franz, Thalmann Stefan

Lernen 4.0 Herausforderungen für Menschen in der Industrie 4.0 erfolgreich meistern.

Productivity, 2017

Journal
Die Digitalisierung der Industrie wird aktuell sehr stark aus technoogischer Sicht betrachtet. Aber auch für den Menschen ergebn sich vielfältige Herausforderungen in dieser veränderten Arbeitsumgebung. Sie betreffen hautsächlich das Lernen von benötigtem Wissen.
2016

Simon Jörg Peter, Schmidt Peter, Pammer-Schindler Viktoria

Analysis of Differential Synchronisation's Energy Consumption on Mobile Devices

EAI Collaborative Computing, CoRR (2016), EAI, 2016

Journal
Synchronisation algorithms are central to collaborative editing software. As collaboration is increasingly mediated by mobile devices, the energy efficiency for such algorithms is interest to a wide community of application developers. In this paper we explore the differential synchronisation (diffsync) algorithm with respect to energy consumption on mobile devices. Discussions within this paper are based on real usage data of PDF annotations via the Mendeley iOS app, which requires realtime synchronisation. We identify three areas for optimising diffsync: a.) Empty cycles in which no changes need to be processed b.) tail energy by adapting cycle intervals and c.) computational complexity. Following these considerations, we propose a push-based diffsync strategy in which synchronisation cycles are triggered when a device connects to the network or when a device is notified of changes.
2016

Luzhnica Granit, Simon Jörg Peter, Lex Elisabeth, Pammer-Schindler Viktoria

A Sliding Window Approach to Natural Hand Gesture Recognition using a Custom Data Glove

Proceedings of the IEEE 3DUI 2016 Symposium on 3D User Interfaces, IEEE, Greenville, SC, USA, 2016

Konferenz
This paper explores the recognition of hand gestures based on a dataglove equipped with motion, bending and pressure sensors. We se-lected 31 natural and interaction-oriented hand gestures that canbe adopted for general-purpose control of and communication withcomputing systems. The data glove is custom-built, and contains13 bend sensors, 7 motion sensors, 5 pressure sensors and a magne-tometer. We present the data collection experiment, as well as thedesign, selection and evaluation of a classification algorithm. As weuse a sliding window approach to data processing, our algorithm issuitable for stream data processing. Algorithm selection and featureengineering resulted in a combination of linear discriminant anal-ysis and logistic regression with which we achieve an accuracy ofover 98. 5% on a continuous data stream scenario. When removingthe computationally expensive FFT-based features, we still achievean accuracy of 98. 2%.
2016

Fessl Angela, Pammer-Schindler Viktoria, Blunk Oliver, Prilla Michael

The known universe of reflection guidance: a literature review

International Journal of Technology Enhanced Learning, Inderscience Enterprises Ltd., 2016

Journal
Reflective learning has been established as a process that deepenslearning in both educational and work-related settings. We present a literaturereview on various approaches and tools (e.g., prompts, journals, visuals)providing guidance for facilitating reflective learning. Research consideredin this review coincides common understanding of reflective learning, hasapplied and evaluated a tool supporting reflection and presents correspondingresults. Literature was analysed with respect to timing of reflection, reflectionparticipants, type of reflection guidance, and results achieved regardingreflection. From this analysis, we were able to derive insights, guidelinesand recommendations for the design of reflection guidance functionality incomputing systems: (i) ensure that learners understand the purpose of reflectivelearning, (ii) combine reflective learning tools with reflective questions either inform of prompts or with peer-to-peer or group discussions, (iii) for work-relatedsettings consider the time with regard to when and how to motivate to reflect.
2016

Barreiros Carla, Veas Eduardo Enrique, Pammer-Schindler Viktoria

Pre-attentive Features in Natural Augmented Reality Visualizations

2016 IEEE International Symposium on Mixed and Augmented Reality Adjunct Proceedings ISMAR, 2016 IEEE International Symposium on Mixed and Augmented Reality Adjunct Proceedings, Merida, Yucatan, Mexico, 2016

Konferenz
The movement towards cyberphysical systems and Industry 4.0promises to imbue each and every stage of production with a myr-iad of sensors. The open question is how people are to comprehendand interact with data originating from industrial machinery. Wepropose a metaphor that compares machines with natural beingsthat appeal to people by representing machine states with patternsoccurring in nature. Our approach uses augmented reality (AR)to represent machine states as trees of different shapes and col-ors (BioAR). We performed a study on pre-attentive processing ofvisual features in AR to determine if our BioAR metaphor con-veys fast changes unambiguously and accurately. Our results indi-cate that the visual features in our BioAR metaphor are processedpre-attentively. In contrast to previous research, for the BioARmetaphor, variations in form induced less errors than variations inhue in the target detection task.
2016

Luzhnica Granit, Veas Eduardo Enrique, Pammer-Schindler Viktoria

Technical Concept and Technology Choices for Implementing a Tangible Version of the Sokoban Gamehoices for Implementing a Tangible Version of the Sokoban Game

2016 IEEE International Symposium on Mixed and Augmented Reality Adjunct Proceedings ISMAR 2016, 2016

Konferenz
This paper presents and discusses the technical concept of a virtualreality version of the Sokoban game with a tangible interface. Theunderlying rationale is to provide spinal-cord injury patients whoare learning to use a neuroprosthesis to restore their capability ofgrasping with a game environment for training. We describe as rel-evant elements to be considered in such a gaming concept: input,output, virtual objects, physical objects, activity tracking and per-sonalised level recommender. Finally, we also describe our experi-ences with instantiating the overall concept with hand-held mobilephones, smart glasses and a head mounted cardboard setup.Index Terms: H.5.2 [HCI]: User Interfaces—Input devicesand strategies; H.5.1 [HCI]: Multimedia Information Systems—Artificial, augmented, and virtual realities
2016

Luzhnica Granit, Öjeling Christoffer, Veas Eduardo Enrique, Pammer-Schindler Viktoria

Technical Concept and Technology Choices for Implementing a Tangible Version of the Sokoban Game

Mixed and Augmented Reality (ISMAR-Adjunct), 2016 IEEE International Symposium on, IEEE, Merida, Mexico, 2016

Konferenz
This paper presents and discusses the technical concept of a virtualreality version of the Sokoban game with a tangible interface. Theunderlying rationale is to provide spinal-cord injury patients whoare learning to use a neuroprosthesis to restore their capability ofgrasping with a game environment for training. We describe as rel-evant elements to be considered in such a gaming concept: input,output, virtual objects, physical objects, activity tracking and per-sonalised level recommender. Finally, we also describe our experi-ences with instantiating the overall concept with hand-held mobilephones, smart glasses and a head mounted cardboard setup
2016

Luzhnica Granit, Veas Eduardo Enrique, Pammer-Schindler Viktoria

Skin Reading: Encoding Text in a 6-Channel Haptic Display

Proceedings of the 2016 ACM International Symposium on Wearable Computing, ACM, Heidelberg, 2016

Konferenz
This paper investigates the communication of natural lan-guage messages using a wearable haptic display. Our re-search spans both the design of the haptic display, as wellas the methods for communication that use it. First, threewearable configurations are proposed basing on haptic per-ception fundamentals. To encode symbols, we devise an over-lapping spatiotemporal stimulation (OST) method, that dis-tributes stimuli spatially and temporally with a minima gap.An empirical study shows that, compared with spatial stimu-lation, OST is preferred in terms of recall. Second, we pro-pose an encoding for the entire English alphabet and a train-ing method for letters, words and phrases. A second study in-vestigates communication accuracy. It puts four participantsthrough five sessions, for an overall training time of approx-imately 5 hours per participant. Results reveal that after onehour of training, participants were able to discern 16 letters,and identify two- and three-letter words. They could discernthe full English alphabet (26letters,92%accuracy) after ap-proximately three hours of training, and after five hours par-ticipants were able to interpret words transmitted at an aver-age duration of0.6s per word
2016

Luzhnica Granit, Pammer-Schindler Viktoria, Fessl Angela, Mutlu Belgin, Veas Eduardo Enrique

Designing Generic Visualisations for Activity Log Data

Workshop on Awareness and Reflection in Technology Enhanced Learning (ARTEL16), CEUR-WS, Lyon, 2016

Konferenz
Especially in lifelong or professional learning, the picture of a continuous learning analytics process emerges. In this proces s, het- erogeneous and changing data source applications provide data relevant to learning, at the same time as questions of learners to data cha nge. This reality challenges designers of analytics tools, as it req uires ana- lytics tools to deal with data and analytics tasks that are unk nown at application design time. In this paper, we describe a generic vi sualiza- tion tool that addresses these challenges by enabling the vis ualization of any activity log data. Furthermore, we evaluate how well parti cipants can answer questions about underlying data given such generic versus custom visualizations. Study participants performed better in 5 out of 10 tasks with the generic visualization tool, worse in 1 out of 1 0 tasks, and without significant difference when compared to the visuali zations within the data-source applications in the remaining 4 of 10 ta sks. The experiment clearly showcases that overall, generic, standalon e visualiza- tion tools have the potential to support analytical tasks suffi ciently well
2016

Fessl Angela, Wesiak Gudrun, Pammer-Schindler Viktoria

A Reflective Quiz in a Professional Qualification Program for Stroke Nurses: A Field Trial

EC-TEL 2016 Proceedings, Springer Link, Springer-Verlag, Cham, 2016

Konferenz
Reflective learning is an important strategy to keep the vast body of theoretical knowledge fresh, stay up-to-date with new knowledge, and to relate theoretical knowledge to practical experience. In this work, we present a study situated in a qualification program for stroke nurses in Germany. In the seven-week study, $21$ stroke nurses used a quiz on medical knowledge as additional learning instrument. The quiz contained typical quiz questions (``content questions'') as well as reflective questions that aimed at stimulating nurses to reflect on the practical relevance of the learned knowledge.We particularly looked at how reflective questions can support the transfer of theoretical knowledge to practice.The results show that by playful learning and presenting reflective questions at the right time, participants were motivated to reflect, deepened their knowledge and related theoretical knowledge to practical experience. Subsequently, they were able to better understand patient treatments and increased their self-confidence.
2015

Simon Jörg Peter, Pammer-Schindler Viktoria, Schmidt Peter

An Energy Efficient Implementation of Differential Synchronization on Mobile Devices

Proceedings of 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering) , London, 2015

Konferenz
Synchronisation algorithms are central components of collab- orative editing software. The energy efficiency for such algo- rithms becomes of interest to a wide community of mobile application developers. In this paper we explore the differen- tial synchronisation (diffsync) algorithm with respect to en- ergy consumption on mobile devices.We identify three areas for optimisation: a.) Empty cycles where diffsync is executed although no changes need to be processed b.) tail energy by adapting cycle intervals and c.) computational complexity. We propose a push-based diffsync strategy in which synchronisation cycles are triggered when a device connects to the network or when a device is notified of changes. Discussions within this paper are based on real usage data of PDF annotations via the Mendeley iOS app.
2015

Wertner Alfred, Czech Paul, Pammer-Schindler Viktoria

An Open Labelled Dataset for Mobile Phone Sensing Based Fall Detection

12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, 2015

Konferenz
Fall detection is a classical use case for mobile phone sensing.Nonetheless, no open dataset exists that could be used totrain, test and compare fall detection algorithms.We present a dataset for mobile phone sensing-based fall detection.The dataset contains both accelerometer and gyroscopedata. Data were labelled with four types of falls(e.g., “stumbling”) and ten types of non-fall activities (e.g.,“sit down”). The dataset was collected with martial artistswho simulated falls. We used five different state-of-the-artAndroid smartphone models worn on the hip in a small bag.Due to the datasets properties of using multiple devices andbeing labelled with multiple fall- and non-fall categories, weargue that it is suitable to serve as benchmark dataset.
2015

Pammer-Schindler Viktoria, Bratic Marina, Feyertag Sandra, Faltin Nils

The Value of Self-tracking and the Added Value of Coaching in the Case of Improving Time Management

Proceedings of the10th European Conference on Technology Enhanced Learning (ECTEL 2015), 2015

Konferenz
We report two 6-week studies, each with 10 participants, on improving time management. In each study a different interventions was administered, in parallel to otherwise regular work: In the self-tracking setting, participants used only an activity logging tool to track their time use and a reflective practice, namely daily review of time use, to improve time management. In the coaching setting, participants did the same, but additionally received weekly bilateral coaching. In both settings, participants reported learning about time management. This is encouraging, as such self-directed learning is clearly cheaper than coaching. Only participants in the coaching setting however improved their self-assessment with respect to predefined time management best practices. The Value of Self-tracking and the Added Value of Coaching in the Case of Improving Time Management. Available from: https://www.researchgate.net/publication/300259607_The_Value_of_Self-tracking_and_the_Added_Value_of_Coaching_in_the_Case_of_Improving_Time_Management [accessed Oct 24 2017].
2015

Kravcik Milos, Mikroyannidis Alexander, Pammer-Schindler Viktoria, Prilla Michael , Ullmann T.D.

Proceedings of the 5th Workshop on Awareness and Reflection in Technology Enhanced Learning.  In conjunction with the 10th European Conference on Technology Enhanced Learning: Design for Teaching and Learning in a Networked World

ARTEL 2015 Awareness and Reflection in Technology Enhanced Learning , 2015

Buch
2015

Simon Jörg Peter, Schmidt Peter, Pammer-Schindler Viktoria

Eine energieeffiziente Implementierung von Differential Synchronization auf mobilen Endgeräten

Proceedings of 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, 2015

Synchronisation algorithms are central components of collab- orative editing software. The energy efficiency for such algo- rithms becomes of interest to a wide community of mobile application developers. In this paper we explore the differen- tial synchronisation (diffsync) algorithm with respect to en- ergy consumption on mobile devices. We identify three areas for optimisation: a.) Empty cycles where diffsync is executed although no changes need to be processed b.) tail energy by adapting cycle intervals and c.) computational complexity. We propose a push-based diffsync strategy in which synchronisation cycles are triggered when a device connects to the network or when a device is notified of changes. Discussions within this paper are based on real usage data of PDF annotations via the Mendeley iOS app.
2015

Fessl Angela, Feyertag Sandra, Pammer-Schindler Viktoria

Designing Innovative Digital Technologies for Knowledge Management and Data-driven Business: A Case Study

In Proceeding of 15th International Conference on Knowledge Technologies and Data-driven Business, 2015

Konferenz
This paper presents a case study on co-designing digitaltechnologies for knowledge management and data-driven businessfor an SME. The goal of the case study was to analysethe status quo of technology usage and to develop designsuggestions in form of mock-ups tailored to the company’sneeds. We used both requirements engineering and interactivesystem design methods such as interviews, workshops,and mock-ups for work analysis and system design. The casestudy illustrates step-by-step the processes of knowledge extractionand combination (analysis) and innovation creation(design). These processes resulted in non-functional mockups,which are planned to be implemented within the SME.
2015

Scherer Reinhold, Schwarz Andreas , Müller-Putz G. R. , Pammer-Schindler Viktoria, Lloria Garcia Mariano

Game-based BCI training: Interactive design for individuals with cerebral palsy

IEEE International Conference on Systems, Man, Cybernetics 2015, 2015

Konferenz
Mutual brain-machine co-adaptation is the mostcommon approach used to gain control over spontaneouselectroencephalogram (EEG) based brain-computer interfaces(BCIs). Co-adaptation means the concurrent or alternating useof machine learning and the brain’s reinforcement learningmechanisms. Results from the literature, however, suggest thatcurrent implementations of this approach does not lead todesired results (“BCI inefficiency”). In this paper, we proposean alternative strategy that implements some recommendationsfrom educational psychology and instructional design. We presenta jigsaw puzzle game for Android devices developed to train theBCI skill in individuals with cerebral palsy (CP). Preliminaryresults of a supporting study in four CP users suggest high useracceptance. Three out of the four users achieved better thanchance accuracy in arranging pieces to form the puzzle.Index Terms—Brain-Computer Interface, Electroencephalo-gram, Human-Computer Interaction, Game-based learning,Cerebral palsy.
2014

Pammer-Schindler Viktoria, Simon Jörg Peter, Wilding Karin, Keller Stephan, Scherer Reinhold

Designing for Engaging BCI Training: A Jigsaw Puzzle

Proceedings of the 2015 Annual Symposium on Computer-Human Interaction in Play (CHI Play 2015), 2014

Konferenz
Brain-computer interface (BCI) technology translatesbrain activity to machine-intelligible patterns, thusserving as input “device” to computers. BCI traininggames make the process of acquiring training data forthe machine learning more engaging for the users. Inthis work, we discuss the design space for BCI traininggames based on existing literature, and a traininggame in form of a Jigsaw Puzzle. The game wastrialled with four cerebral palsy patients. All patientswere very acceptant of the involved technology, which,we argue, relates back to the concept of BCI traininggames plus the adaptations we made. On the otherhand, the data quality was unsatisfactory. Hence, infuture work both concept and implementation need tobe finetuned to achieve a balance between useracceptance and data quality.
2013

Divintini Monica, Ley Tobias, Lindstaedt Stefanie , Pammer-Schindler Viktoria, Prilla Michael

Proceedings of {ECTEL} meets {ECSCW} 2013, the Workshop on Collaborative Technologies for Working and Learning, Paphos, Cyprus, September, 21, 2013

CEUR Workshop Proceedings, 2013

Konferenz
With this workshop, we brought together the European communities of technology-enhanced learning, which typically meets at the ECTEL, and of computer-supported cooperative work, which typically meets at the ECSCW. While the ECTEL community has traditionally focused on technology support for learning, be it in formal learning environments like schools, universities, etc. or in informal learning environments like workplaces, the ECSCW community has traditionally investigated how computers can and do mediate and influence collaborative work, in settings as diverse as the typical “gainful employment” situations, project work within university courses, volunteer settings in NGOs etc. Despite overlapping areas of concerns, the two communities are also exploiting different theories and methodological approaches. Within this workshop, we discussed issues that are relevant for both communities, and have the potential to contribute to a more lively communication between both communities.
2013

Pammer-Schindler Viktoria, Simon Nina, Lindstaedt Stefanie

Reflective Learning at Work

Advances in Technology Enhanced Learning, Fridolin Wild, Paul Lefrere, Peter Scott, 2013

Journal
2012

Pammer-Schindler Viktoria, Kump Barbara, Lindstaedt Stefanie

Tag-based algorithms can predict human ratings of which objects a picture shows

Multimedia Tools and Applications, Springer US, 2012

Journal
Collaborative tagging platforms allow users to describe resources with freely chosen keywords, so called tags. The meaning of a tag as well as the precise relation between a tag and the tagged resource are left open for interpretation to the user. Although human users mostly have a fair chance at interpreting this relation, machines do not. In this paper we study the characteristics of the problem to identify descriptive tags, i.e. tags that relate to visible objects in a picture. We investigate the feasibility of using a tag-based algorithm, i.e. an algorithm that ignores actual picture content, to tackle the problem. Given the theoretical feasibility of a well-performing tag-based algorithm, which we show via an optimal algorithm, we describe the implementation and evaluation of a WordNet-based algorithm as proof-of-concept. These two investigations lead to the conclusion that even relatively simple and fast tag-based algorithms can yet predict human ratings of which objects a picture shows. Finally, we discuss the inherent difficulty both humans and machines have when deciding whether a tag is descriptive or not. Based on a qualitative analysis, we distinguish between definitional disagreement, difference in knowledge, disambiguation and difference in perception as reasons for disagreement between raters.
2011

Kump Barbara, Knipfer Kristin, Pammer-Schindler Viktoria, Schmidt Andreas, Maier Ronald, Kunzmann Christine, Cress Ulrike, Lindstaedt Stefanie

The role of Reflection in Maturing Organizational Know-how

Proceedings of the 1st European Workshop on Awareness and Reflection in Learning Networks, Palermo, Italy, September 21, 2011, Reinhardt, W., Ullmann, T. D., Scott, P., Pammer, V., Conlan, O., Berlanga, A., 2011

Konferenz
The Knowledge Maturing Phase Model has been presented as a model aligning knowledge management and organizational learning. The core argument underlying the present paper is that maturing organizational knowhow requires individual and collaborative reflection at work. We present an explorative interview study that analyzes reflection at the workplace in four organizations in different European countries. Our qualitative findings suggest that reflection is not equally self-evident in different settings. A deeper analysis of the findings leads to the hypothesis that different levels of maturity of processes come along with different expectations towards the workers with regard to compliance and flexibility, and to different ways of how learning at work takes place. Furthermore, reflection in situations where the processes are in early maturing phases seems to lead to consolidation of best practice, while reflection in situations where processes are highly standardized may lead to a modification of these standard processes. Therefore, in order to support the maturing of organizational know-how by providing reflection support, one should take into account the degree of standardisation of the processes in the target group.
2011

Pammer-Schindler Viktoria, Knipfer Kristin, Krogstie Birgit, Wessel Daniel, Prilla Michael, Lindstaedt Stefanie

Reflective Learning at Work - A Position and Discussion Paper

Proceedings of the 1st European Workshop on Awareness and Reflection in Learning Networks (ARNETS'11), Reinhardt, W., Ullmann, T., Scott, P., Pammer, V., Conlan, O., Berlanga, A., CEUR Workshop Proceedings, 2011

The relevance of reflection for learning has long been recognised,and there is a substantial body of theoretical work on reflection.However, many questions regarding reflection at the workplace are stillopen, especially regarding the actual occurrence of reflection in differentworkplaces, and the efficient support for reflection.In our ongoing work to examine the relevance of reflective learning atwork in various organisations and to design technological support, wehave collected and discussed existing literature on reflective learning.Within this paper, we discuss relevant and open issues in four majortopical areas that are relevant to the above research goal, namely (i) thereflection process , (ii) the various scopes of reflection such as individualand organisational learning, (iii) the context or setting in which reflectionmight take place and (iv) how we can facilitate and scaffold reflectionby means of technology. We aim to provide a basis for discussion and toillustrate that research on reflection, especially in the context of work, isfar from finished.
2011

Fessl Angela, Rivera-Pelayo Verónica, Müller Lars, Pammer-Schindler Viktoria, Lindstaedt Stefanie

Motivation and User Acceptance of Using Physiological Data to Support Individual Reflection

2nd International Workshop on Motivation and Affective Aspects in Technology Enhanced Learning (MATEL 2011), co-located with the Sixth European Conference on Technology Enhanced Learning (ECTEL 2011), 2011

While research comes up with new sensors and physiologicaldata is gaining more attention in private usage, sensors play no role inprofessional learning. In this paper we shed light on the motivation touse physiological sensors in the workplace. Three user studies have beenconducted in five companies to assess the motivation to (a) wear sensorsand (b) reflect on physiological data during work. Based on these studies,we show that workers would be willing to use physiological sensors, butthe benefit of the awareness about the own physiological state is oftennot clear or the usability of sensors is insufficient. Moreover, in stressprone professions like emergency care there are already successful copingstrategies in place. Introducing physiological sensors has to provide clearbenefits by offering solutions to act on this awareness and focus on thepracticability of the sensors.
2011

Stern Hermann, Pammer-Schindler Viktoria, Lindstaedt Stefanie

A Preliminary Study on Interruptibility Detection based on Location and Calendar Information

Third Workshop on Context-Systems Design, Evaluation and Optimisation (CoSDEO) 2011, December 6th - 8th, Copenhagen, Denmark, 2011., 2011

Journal
Modern communication technology-such as mobile phonesincreases our level of availability, but also raises the risk of being inappropriately interrupted. In this paper, we present our on-going research on automatically detecting a user’s interruptibility. This is the first step towards (i) contextualizing the modus of message notification, ie making the notification more or less attention-grabbing, and (ii) contextualizing message ranking, ie, prioritizing messages according to their relevance for the user’s current level of activity. We describe our approach of automatically detecting a user’s interruptibility based on location and calendar information. Both kinds of data are easily available in a mobile setting using smartphones. Second, we present a preliminary study that evaluates (i) whether GPS information is available sufficiently for our purpose in a real-world setting, and (ii) whether the computed interruptibility corresponds to a user’s own perception of interruptibility.
2011

Erdmann Michael, Hansch Daniel, Pammer-Schindler Viktoria, Rospocher Marco, Ghidini Chiara, Lindstaedt Stefanie , Serafini Luciano

Applications of Semantic Wikis - Bringing Complementary Models and People Together: A Semantic Wiki for Enterprise Process and Application Modelling

Context and Semantics for Knowledge Management}, Warren, P., Davies, J., Simperl, E., Springer, 2011

Journal
This chapter describes some extensions to and applications of the Semantic MediaWiki. It complements the discussion of the SMW in Chap. 3. Semantic enterprise wikis combine the strengths of traditional content management systems, databases, semantic knowledge management systems and collaborative Web 2.0 platforms. Section 12.1 presents SMW+, a product for developing semantic enterprise applications. The section describes a number of real-world applications that are realized with SMW+. These include content management, project management and semantic data integration. Section 12.2 presents MoKi, a semantic wiki for modeling enterprise processes and application domains. Example applications of MoKi include modeling tasks and topics for work-integrated learning, collaboratively building an ontology and modeling clinical protocols. The chapter illustrates the wealth of activities which semantic wikis support.
2010

Pammer-Schindler Viktoria, Lindstaedt Stefanie , Ghidini C., Rospocher M., Serafini L.

Automatic Support for Formative Ontology Evaluation

Poster & Demo Proceedings of the 17th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2010), 2010

Konferenz
Just as testing is an integral part of software engineering, so is ontologyevaluation an integral part of ontology engineering. We haveimplemented automated support for formative ontology evaluationbased on the two principles of i) checking for compliance withmodelling guidelines and ii) reviewing entailed statements in MoKi,a wiki based ontology engineering environment. These principlesexist in state of the art literature and good ontology engineering andevaluation practice, but have not so far been widely integrated intoontology engineering tools.
2010

Stern Hermann, Ulbrich Armin, Pammer-Schindler Viktoria, Lindstaedt Stefanie , Pistore M., Bertoli P.

Message Filtering Based On Mobile User Context

Proceedings of the Second Workshop on Context, Information and Ontologies, Ermolayev, V., Gomez-Perez, J.M., Haase, P., Warren, P. , Workshop at Knowledge Engineering and Knowledge Management (EKAW) 2010, Lisbon, Portugal, October 11, 2010, 2010

Konferenz
We present an on-going research activity that aims to use mobilecontext-based reasoning for creating personalised messages filtering.
2010

Lindstaedt Stefanie , Kump Barbara, Beham Günter, Pammer-Schindler Viktoria, Ley Tobias, de Hoog R., Dotan A.

Providing Varying Degrees of Guidance for Work-Integrated Learning

Sustaining TEL: From Innovation to Learning and Practice, Proceedings of EC-TEL 2010, Wolpers, M., Kirschner, P. A., Scheffel, M., Lindstaedt, S. N., Dimitrova, V., Springer, 2010

Konferenz
We present a work-integrated learning (WIL) concept which aims atempowering employees to learn while performing their work tasks. Withinthree usage scenarios we introduce the APOSDLE environment whichembodies the WIL concept and helps knowledge workers move fluidly alongthe whole spectrum of WIL activities. By doing so, they are experiencingvarying degrees of learning guidance: from building awareness, over exposingknowledge structures and contextualizing cooperation, to triggering reflectionand systematic competence development. Four key APOSDLE components areresponsible for providing this variety of learning guidance. The challenge intheir design lies in offering learning guidance without being domain-specificand without relying on manually created learning content. Our three monthsummative workplace evaluation within three application organizationssuggests that learners prefer awarenss building functionalities and descriptivelearning guidance and reveals that they benefited from it.
2010

Dotan Amir, Maiden N., Lockerbie J., de Hoog Robert, Leemkuil Hendrik H., Ghidini C., Rospocher M., Lindstaedt Stefanie , Kump Barbara, Pammer-Schindler Viktoria, Faatz A., Zinnen A.

APOSDLE approach to self-directed work-integrated learning-APOSDLE Deliverable D2. 11

City University, 2010

2009

Pammer-Schindler Viktoria, Serafini L., Lindstaedt Stefanie

Highlighting assertional effects of ontology editing activities in OWL

Proceedings of the 3rd International Workshop on Ontology Dynamics, (IWOD 2009), collocated with the 8th International Semantic Web Conference (ISWC-2009), d'Acquin, M., Antoniou, G., CEUR Workshop Proceedings, 2009

Konferenz
2009

Pammer-Schindler Viktoria, Lindstaedt Stefanie

Ontology Evaluation Through Assessment of Inferred Statements: Study of a Prototypical Implementation of an Ontology Questionnaire for OWL DL Ontologies

Knowledge Science, Engineering and Management, Third International Conference, KSEM 2009, Karagiannis, D., Jinpeng, Z., Springer, 2009

Konferenz
2009

Ghidini C., Kump Barbara, Lindstaedt Stefanie , Mahbub N., Pammer-Schindler Viktoria, Rospocher M., Serafini L.

MoKi: A Collaborative Enterprise Modelling Tool (Demo and Poster)

Proceedings of the Workshop on Collaborative Construction, Management and Linking of Structured Knowledge (CK 2009) collocated with the 8th International Semantic Web Conference ISWC-2009, CEUR Workshop Proceedings, 2009

Konferenz
2009

Pammer-Schindler Viktoria, Kump Barbara, Lindstaedt Stefanie

On the feasibility of a tag-based approach for deciding which objects a picture shows: An empirical study

Semantic Multimedia. 4th International Conference on Semantic and Digital Media Technologies, SAMT 2009 Graz, Austria, December 2-4, 2009 Proceedings, Springer, 2009

Konferenz
Many online platforms allow users to describe resources withfreely chosen keywords, so called tags. The specific meaning of a tag aswell as its specific relation to the tagged resource are left open for interpretationto the user. Although human users mostly have a fair chance atinterpreting it, machines do not. An algorithmic approach for identifyingdescriptive tags however could prove useful for intelligent search for picturesand providing first-cut overviews over tagged picture repositories.In this paper we investigate the characteristics of the problem to decidewhich tags describe visible entities on a given picture. Based on a systematicuser study, we are able to discuss in detail the problems involvedfor both humans and machines when identifying descriptive tags. Furthermore,we investigate the general feasibility of developing a tag-basedalgorithm tackling this question. Finally, a concrete implementation andits evaluation are presented.
2009

Lindstaedt Stefanie , Rospocher M., Ghidini C., Pammer-Schindler Viktoria, Serafini L.

MoKi: the Modelling wiKi

Proceedings of the Forth Semantic Wiki Workshop (SemWiki 2009), co-located with 6th European Semantic Web Conference (ESWC 2009), CEUR Workshop Proceedings, 2009

Konferenz
Enterprise modelling focuses on the construction of a structureddescription of relevant aspects of an enterprise, the so-called enterprisemodel. Within this contribution we describe a wiki-based tool forenterprise modelling, called MoKi (Modelling wiKi). It specifically facilitatescollaboration between actors with different expertise to develop anenterprise model by using structural (formal) descriptions as well as moreinformal and semi-formal descriptions of knowledge. It also supports theintegrated development of interrelated models covering different aspectsof an enterprise.
2009

Lindstaedt Stefanie , Ghidini C., Kump Barbara, Mahbub N., Pammer-Schindler Viktoria, Rospocher M., Serafini L.

MoKi: The Enterprise Modelling Wiki

The Semantic Web: Research and Applications, 6th European Semantic Web Conference, ESWC 2009, Heraklion, Crete, Greece, May 31-June 4, 2009, Proceedings, Aroyo, L., Traverso, P., Ciravegna, F., Cimiano, P., Heath, T., Hyvönen, E., Mizoguchi, R., Oren, E., Sabou, M. & Simperl, E. P. B., Springer, 2009

Konferenz
Enterprise modelling focuses on the construction of a structureddescription, the so-called enterprise model, which represents aspectsrelevant to the activity of an enterprise. Although it has becomeclearer recently that enterprise modelling is a collaborative activity, involvinga large number of people, most of the enterprise modelling toolsstill only support very limited degrees of collaboration. Within thiscontribution we describe a tool for enterprise modelling, called MoKi(MOdelling wiKI), which supports agile collaboration between all differentactors involved in the enterprise modelling activities. MoKi is basedon a Semantic Wiki and enables actors with different expertise to developan enterprise model not only using structural (formal) descriptions butalso adopting more informal and semi-formal descriptions of knowledge.
2009

Lindstaedt Stefanie , Moerzinger R., Sorschag R. , Pammer-Schindler Viktoria, Thallinger G.

Automatic Image Annotation using Visual Conent and Folksonomies

Multimedia Tools and Applications, Springer US, 2009

Journal
Automatic image annotation is an important and challenging task, andbecomes increasingly necessary when managing large image collections. This paperdescribes techniques for automatic image annotation that take advantage of collaborativelyannotated image databases, so called visual folksonomies. Our approachapplies two techniques based on image analysis: First, classification annotates imageswith a controlled vocabulary and second tag propagation along visually similar images.The latter propagates user generated, folksonomic annotations and is thereforecapable of dealing with an unlimited vocabulary. Experiments with a pool of Flickrimages demonstrate the high accuracy and efficiency of the proposed methods in thetask of automatic image annotation. Both techniques were applied in the prototypicaltag recommender “tagr”.
2008

Pammer-Schindler Viktoria, Ley Tobias, Lindstaedt Stefanie

Tagr: Unterstützung in kollaborativen Tagging-Umgebungen durch semantische und assoziative Netzwerke

GMW Expert Workshop" Social Tagging in der Wissensorganisation–Perspektiven und Potenziale", Tübingen, 2008

Stellen Sie sich vor, Sie laden ein Bild auf Flickr hoch und bekommen automatisch Vorschläge für Tags, sowie Beispiele wie ähnliche Bilder beschlagwortet worden sind. Wir stellen den Forschungsprototypen tagr vor, der auf Basis von vorhandenen Tags Information über die Benutzerin sowie eine Analyse des Bildes neue Tags für ein Bild vorschlägt. Wir verstehen kollaboratives Tagging als einen Prozess der verteilten Kognition, den wir mit entsprechenden Diensten unterstützen wollen. Wir gehen in diesem Artikel genauer auf den Termähnlichkeitsservice ein, der sich ein semantisches Netzwerk (WordNet) und ein assoziatives Netzwerk (Kookkurrenz der verwendeten Tags) zu Nutze macht. Wir diskutieren die Evaluierung des Prototypen und schließen mit einem Ausblick auf unsere weiteren Arbeiten.
2008

Lindstaedt Stefanie , Pammer-Schindler Viktoria, Mörzinger Roland, Kern Roman, Mülner Helmut, Wagner Claudia

Recommending tags for pictures based on text, visual content and user context

Third International Conference on Internet and Web Applications and Services (ICIW), IEEE, 2008

Konferenz
Imagine you are member of an online social systemand want to upload a picture into the community pool. In currentsocial software systems, you can probably tag your photo, shareit or send it to a photo printing service and multiple other stuff.The system creates around you a space full of pictures, otherinteresting content (descriptions, comments) and full of users aswell. The one thing current systems do not do, is understandwhat your pictures are about.We present here a collection of functionalities that make a stepin that direction when put together to be consumed by a tagrecommendation system for pictures. We use the data richnessinherent in social online environments for recommending tags byanalysing different aspects of the same data (text, visual contentand user context). We also give an assessment of the quality ofthus recommended tags.
2008

Ghidini C., Rospocher M., Serafini L., Kump Barbara, Pammer-Schindler Viktoria, Faatz A., Zinnen A., Guss J., Lindstaedt Stefanie

Collaborative Knowledge Engineering via Semantic MediaWiki

Proceedings of the I-Semantics 2008, Graz, Austria, Sep. 3-5 2008, 2008

Konferenz
Formal modelling is a challenging and expensive task, especially for people not familiarwith design techniques and formal languages. In this paper we present the modelling experiencewithin the APOSDLE EU-project, and we describe the methodology we have developedto support an integrated modelling process of the ontologies and workflows inside APOSDLE.Our approach is based on two main pillars: (i) the usage of Semantic MediaWiki (SMW) forthe collaborative development of informal models to be created, and (ii) a tight, and as much aspossible automatic, integration of the SMW with tools for formal modelling, in order to reuse theinformal models for formal models creation.
2008

Ghidini C., Rospocher M., Serafini L., Faatz A., Kump Barbara, Ley Tobias, Pammer-Schindler Viktoria, Lindstaedt Stefanie

Collaborative enterprise integrated modelling

Poster Session at the 16th International Conference on Knowledge Engineering and Knowledge Management Knowledge Patterns (EKAW 2008), 29th September-3rd October 2008 - Acitrezza, Catania, Italy, 2008

Konferenz
Enterprise modelling focuses on the construction of structured descriptions,the enterprise models, of sets of aspects relevant to the activity ofan enterprise. Nowadays, knowledge engineering provides powerful methodologiesand tools to support enterprise modeling in the production of formal models.These methods however present two main limitation: First, they are based ona waterfall process of transformation of informal knowledge into formal statements;Second, they tend to separate the modelling of the different aspects withoutproviding enough support to their final integration. In this paper we propose amore flexible framework that supports an agile collaboration between the actorsinvolved in the modelling activities, without sticking to a pre-defined protocolof interaction. In addition we propose an integrated meta-model that specifiesthe integration of single components of an articulated enterprise model as wellas their relations, and we report our experience of using the framework and themeta-model in the production of five enterprise models within the APOSDLEEU-project.
2008

Christl C., Ghidini C. , Guss J., Lindstaedt Stefanie , Pammer-Schindler Viktoria, Scheir Peter, Serafini L.

Deploying semantic web technologies for work integrated learning in industry. A comparison: SME vs. large sized company

Proceedings of the ISWC 2008, 7th International Semantic Web Conference, Karlsruhe, Germany, Oct 26-30, 2008 , Springer, 2008

Konferenz
Modern businesses operate in a rapidly changing environment.Continuous learning is an essential ingredient in order to stay competitivein such environments. The APOSDLE system utilizes semanticweb technologies to create a generic system for supporting knowledgeworkers in different domains to learnwork. Since APOSDLE relies onthree interconnected semantic models to achieve this goal, the questionon how to efficiently create high-quality semantic models has become oneof the major research challenges. On the basis of two concrete examplesnamelydeployment of such a learning system at EADS, a large corporation,and deployment at ISN, a network of SMEs-we report in detail theissues a company has to face, when it wants to deploy a modern learningenvironment relying on semantic web technology.
2008

Pammer-Schindler Viktoria, Ley Tobias, Lindstaedt Stefanie

tagr: Unterstützung in kollaborativen Tagging-Umgebungen durch Semantische und Assoziative Netzwerke

Good Tags Bad Tags - Social Tagging in der Wissensorganisation, Gaiser, B., Hampel, T., Panke, S., Waxmann Verlag, 2008

Buch
2008

Lindstaedt Stefanie , , , Lokaiczyk R., Kump Barbara, Beham Günter, Pammer-Schindler Viktoria

Knowledge Services for Work-integrated Learning

Proceedings of the European Conference on Technology Enhanced Learning (ECTEL) 2008, Maastricht, The Netherlands, September 16-19, Springer, 2008

Konferenz
In order to support work-integrated learning scenarios task- andcompetency-aware knowledge services are needed. In this paper we introducethree key knowledge services of the APOSDLE system and illustrate how theyinteract. The context determination daemon observes user interactions andinfers the current work task of the user. The user profile service uses theidentified work tasks to determine the competences of the user. And finally, theassociative retrieval service utilizes both the current work task and the inferredcompetences to identify relevant (learning) content. All of these knowledgeservices improve through user feedback.
2008

Pammer-Schindler Viktoria

How class axioms affect instance data

Doctoral Consortium of the 11th International Conference on Principles of Knolwedge Representation and Reasoning (KR 2008), 2008

Konferenz
2008

Kern Roman, Granitzer Michael, Pammer-Schindler Viktoria

Extending Folksonomies for Image Tagging

WIAMIS 2008 , Special Session on Multimedia Metadata Management & Retrieval, IEEE Computer Society, Klagenfurt, 2008

Buch
2008

Stocker A., Höfler Patrick, Granitzer Gisela, Willfort R., Anna Maria Köck, Pammer-Schindler Viktoria

Towards a Framework for Social Web Platforms: The Neurovation Case

Proceedings of the Third International Conference on Internet and Web Applications and Services (ICIW 2008), IEEE Computer Society Press, 2008

Konferenz
Social web platforms have become very popular in the so-called Web 2.0, and there is no end in sight. However, very few systematic models for the constitution of such sociotechnical infrastructures exist in the scientific literature. We therefore present a generic framework for building social web platforms based on the creation of value for individuals, communities and social networks. We applied this framework in the Neurovation project, aiming to establish a platform for creative knowledge workers. This paper describes work in progress and the lessons we have learned so far.
2007

Ghidini C., Pammer-Schindler Viktoria, Scheir Peter, Lindstaedt Stefanie , Serafini L.

APOSDLE: learn@work with semantic web technology

Proceedings of I-MEDIA 2007 and I-SEMANTICS 2007, Graz, Austria, September 5-7, 2007, 2007

Konferenz
The EU project APOSDLE focuses on work-integrated learning. Among the severalchallenges of the project, a crucial role is played by the system’s ability to start from the context ofthe immediate work of a user, establish her missing competencies and learning needs and suggeston-the-fly and appropriate learning stimuli. These learning stimuli are created from a variety ofresources (documents, videos, expert profiles, and so on) already stored in the workplace andmay be in the form of learning material or suggestions to contact experts and / or colleagues.To address this challenge requires the capability of building a system which is able find, choose,share, and combine a variety of knowledge, evolving content and resources in an automatic andeffective manner. The implementation of this capability requires technology which goes beyondtraditional query-answering and keyword based search engines, and Semantic Web technologywas chosen by the consortium as the most appropriate technology to make information search anddata integration more efficient. The aim of this paper is to give an overview of the broad spectrumof Semantic Web technologies that are needed for a complex application like APOSDLE, and thechallenges for the Semantic Web community that have appeared along the way.
2007

Pammer-Schindler Viktoria, Scheir Peter, Lindstaedt Stefanie

Two Protégé plug-ins for supporting document-based ontology engineering and ontological annotation at document-level

10th International Protégé Conference, Budapest, Hungary, July 15-18, 2007, Budapest, 2007

We present two plug-ins for Prot´eg´e OWL. The first, Discovery Tab,supports document-based ontology engineering with relevant term extraction,clustering and related functionality. The second, Annotation Tab,provides a facility to annotate documents manually and automatically(based on a training set).
2007

Scheir Peter, Pammer-Schindler Viktoria, Lindstaedt Stefanie

Information Retrieval on the Semantic Web - Does it exist?

Proceedings of Lernen-Wissen-Adaption, Halle/Saale, Germany, September 24-26, 2007, 2007

Konferenz
Plenty of contemporary attempts to search existthat are associated with the area of Semantic Web.But which of them qualify as information retrievalfor the Semantic Web? Do such approaches exist?To answer these questions we take a look at thenature of the Semantic Web and Semantic Desktopand at definitions for information and data retrieval.We survey current approaches referred toby their authors as information retrieval for the SemanticWeb or that use Semantic Web technologyfor search.
2006

Pammer-Schindler Viktoria, Scheir Peter, Lindstaedt Stefanie

Ontology Coverage Check: Support for Evaluation in Ontology Engineering

Proceedings of FOMI 2006 - 2nd Workshop on Formal Ontologies Meet Industry, Trento, Italy, December 14-15, 2006, 2006

Konferenz
Support for the process of ontology engineering is needed in order to reduce theeffort still necessary to build an ontology. Some can be given by facilitated evaluationof the ontology under development. To that purpose we present an automated methodthat supports data driven ontology evaluation by checking to what extent the conceptsand axioms of the ontology under evaluation are covered by a given set of individuals(data).We applied the here presented ontology coverage check (OCC) to various ontologiesand will report on the results. The results highlight not only the potential of OCCbut also some characteristics of ontologies currently available to the public.

Divitini Monica, Lindstaedt Stefanie , Pammer-Schindler Viktoria, Ley Tobias

ECTEL meets ECSCW: Computer-Support for Integrated Working and Learning

ECSCW 2013 Adjunct Proceedings

Konferenz
With this workshop, we intend to bring together the European communities of technology-enhanced learning, which typically meets at the ECTEL, and of computersupported cooperative work, which typically meets at the ECSCW. While the ECTEL community has traditionally focused on technology support for learning, be it in formal learning environments like schools, universities, etc. or in informal learning environments like workplaces, the ECSCW community has traditionally investigated how computers can and do mediate and influence collaborative work, in settings as diverse as the typical “gainful employment” situations, project work within university courses, volunteer settings in NGOs etc. Despite overlapping areas of concerns, the two communities are also exploiting different theories and methodological approaches. Within this workshop, we discuss issues that are relevant for both communities, and have the potential to contribute to a more lively communication between both communities.
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