Publikationen

Hier finden Sie von Know-Center MitarbeiterInnen verfasste wissenschaftliche Publikationen

2014

Silva Nelson, Settgast Volker, Eggeling Eva, Grill Florian, Zeh Theodor, Fellner Dieter W.

Sixth Sense - Air Traffic Control Prediction Scenario Augmented by Sensors

I-Know 2014, 2014

Konferenz
2014

Unsupervised document structure analysis of digital scientific articles

International Journal on Digital Libraries, Springer, 2014

Konferenz
Text mining and information retrieval in large collections of scientific literature require automated processing systems that analyse the documents' content. However, the layout of scientific articles is highly varying across publishers, and common digital document formats are optimised for presentation, but lack structural information. To overcome these challenges, we have developed a processing pipeline that analyses the structure a PDF document using a number of unsupervised machine learning techniques and heuristics. Our system uses only information available from the current document and does not require any pre-trained model. First, contiguous text blocks are extracted from the raw character stream. Next, we determine geometrical relations between these blocks, which, together with geometrical and font information, are then used categorize the blocks into different classes. Based on this resulting logical structure we finally extract the body text and the table of contents of a scientific article. We separately evaluate the individual stages of our pipeline on a number of different datasets and compare it with other document structure analysis approaches. We show that it outperforms a state-of-the-art system in terms of the quality of the extracted body text and table of contents. Our unsupervised approach could provide a basis for advanced digital library scenarios that involve diverse and dynamic corpora.
2014

Exploring real world points of interest: Design and evaluation of object-centric exploration techniques for augmented reality

Pervasive and Mobile Computing, Elsevier, 2014

Konferenz
Augmented reality (AR) enables users to retrieve additional information about real world objects and locations. Exploring such location-based information in AR requires physical movement to different viewpoints, which may be tiring and even infeasible when viewpoints are out of reach. In this paper, we present object-centric exploration techniques for handheld AR that allow users to access information freely using a virtual copy metaphor. We focus on the design of techniques that allows the exploration of large real world objects. We evaluated our interfaces in a series of studies in controlled conditions and compared them to a 3D map interface, which is a more common method for accessing location-based information. Based on our findings, we put forward design recommendations that should be considered by future generations of location-based AR browsers, 3D tourist guides or situated urban planning.
2014

Scaling the support for informal learning at the workplace: a model and four designs from a large-scale design-based research effort

British Journal of Educational Technology, Wiley - Oxford, 2014

Konferenz
Workplace learning happens in the process and context of work, is multi-episodic, often informal, problem based and takes place on a just-in-time basis. While this is a very effective means of delivery, it also does not scale very well beyond the immediate context. We review three types of technologies that have been suggested to scale learning and three connected theoretical discourses around learning and its support. Based on these three strands and an in-depth contextual inquiry into two workplace learning domains, health care and building and construction, four design-based research projects were conducted that have given rise to designs for scaling informal learning with technology. The insights gained from the design and contextual inquiry contributed to a model that provides an integrative view on three informal learning processes at work and how they can be supported with technology: (1) task performance, reflection and sensemaking; (2) help seeking, guidance and support; and (3) emergence and maturing of collective knowledge. The model fosters our understanding of how informal learning can be scaled and how an orchestrated set of technologies can support this process.
2014

A comparison of citations, downloads and readership data for an information systems journal

Research Trends, 2014

Konferenz
2014

Proceedings of the 4th Workshop on Awareness and Reflection in Technology-Enhanced Learning In conjunction with the 9th European Conference on Technology Enhanced Learning: Open Learning and Teaching in Educational Communities, ARTEL@EC-TEL 2014, Graz,

CEUR Workshop Proceedings, 2014

Konferenz
2014

Comparison of downloads, citations and readership data for two information systems journals

Scientometrics, 2014

Konferenz
In our article we compare downloads from ScienceDirect, citations from Scopus and readership data from the social reference management system Mendeley for articles from two information systems journals ("Journal of Strategic Information Systems" and "Information and Management") Published between 2002 and 2011. Our study shows a medium to high correlation between downloads and citations (Spearman r = 0.77/ 0.76) and between downloads and readership data (Spearman r = 0.73/0.66). The correlation between readership data and citations, however, was only medium-sized (Spearman r = 0.51/0.59). These results suggest that there is at least "some" difference between the two usage measures and the citation impact of the analysed information systems articles. As expected, downloads and citations have different obsolescence characteristics. While the highest number of downloads are usually made in the publication year and immediately afterwards, it takes several years until the citation maximum is reached. Furthermore, there was a re-increase in the downloads in later years which might be an indication that citations also have an effect on downloads to some degree.
2014

ProS 2014: Workshop on UMAP Projects Synergy

Workshop Proceedings of the 22nd Conference on User Modeling, Adaptation, and Personalization, CEUR.WS, 2014

Konferenz
2014

5th International Workshop on Modeling Social Media: Mining Big Data in Social Media and the Web (MSM 2014)

In Proceedings of the ACM World Wide Web Conference, ACM, 2014

Konferenz
2014

The Impact of Image Descriptions on User Tagging Behavior: A Study of the Nature and Functionality of Crowdsourced Tags

Journal of the Association for Information Science and Technology, Wiley, 2014

Konferenz
2014

Iterative Augmentation of a Medical Training Simulator: Effects of Affective Metacognitive Scaffolding

Computers & Education, Elsevier, 2014

Konferenz
2014

Silva Nelson

The Sixth Sense in Air Traffic Control - Automated error detection through sensor augmentation, while keeping the humans in the main decision loop of ATC

I-Know 2014, 2014

Konferenz
2014

Detecting Outliers in Cell Phone Data: Correcting Trajectories to Improve Traffic Modeling

Journal of the Transportation Research Board, 2014

Konferenz
Using cell phone signaling data for traffic modeling has great potential. Due to the high coverage rate, it can be used in addition to stationary sensors or even act as replacement when deploying stationary sensors is not possible and/or too expensive. Though, one must be aware that cell phone signaling data is error-prone and must be pre-processed in order to use it for traffic modeling. First, the positions reported by cell phone signaling data may be inaccurate. Second, it could be possible that additional data is introduced to obfuscate the actual movement due to privacy issues. We present three different filters to smooth the trajectories generated by cell phone movements. For evaluation, we applied these filters to cell phone trajectories and compared them to their corresponding GPS-based tracks. The evaluation data covers 4.933 automatically and 5 manually collected tracks. The proposed filters significantly improve the speed and position estimation compared to the raw trajectories of cell phone movements.
2014

CODE Query Wizard and Vis Wizard: Supporting Exploration and Analysis of Linked Data

ERCIM News, 2014

Konferenz
Although the concept of Linked Data has been increasing in popularity, easy-to-use interfaces to access and make sense of the actual data are still few and far between. The CODE project's Query Wizard and Vis Wizard aim to fill this gap.
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.
2014

Rauch Manuela, Wozelka Ralph, Veas Eduardo Enrique, Sabol Vedran

Semantic Blossom Graph: A new Approach for Visual Graph Exploration

18th International Conference on Information Visualisation, IEEE Computer Society CPS, 2014

Konferenz
Graphs are widely used to represent relationshipsbetween entities. Indeed, their simplicity in depicting connect-edness backed by a mathematical formalism, make graphs anideal metaphor to convey relatedness between entities irrespec-tive of the domain. However, graphs pose several challenges forvisual analysis. A large number of entities or a densely con-nected set quickly render the graph unreadable due to clutter.Typed relationships leading to multigraphs cannot clearly berepresented in hierarchical layout or edge bundling, commonclutter reduction techniques. We propose a novel approach tovisual analysis of complex graphs based on two metaphors:semantic blossom and selective expansion. Instead of showingthe whole graph, we display only a small representative subsetof nodes, each with a compressed summary of relations in asemantic blossom. Users apply selective expansion to traversethe graph and discover the subset of interest. A preliminaryevaluation showed that our approach is intuitive and usefulfor graph exploration and provided insightful ideas for futureimprovements.
2014

Tschinkel Gerwald, Veas Eduardo Enrique, Mutlu Belgin, Sabol Vedran

Using semantics for interactive visual analysis of linked open data

Proceedings of the 2014 International Conference on Posters & Demonstrations Track-Volume 1272, CEUR-WS. org, 2014

Konferenz
Providing easy to use methods for visual analysis of LinkedData is often hindered by the complexity of semantic technologies. Onthe other hand, semantic information inherent to Linked Data providesopportunities to support the user in interactively analysing the data. Thispaper provides a demonstration of an interactive, Web-based visualisa-tion tool, the “Vis Wizard”, which makes use of semantics to simplify theprocess of setting up visualisations, transforming the data and, most im-portantly, interactively analysing multiple datasets using brushing andlinking method
2014

Sabol Vedran, Tschinkel, Veas Eduardo Enrique, Mutlu Belgin, Granitzer Michael

Discovery and visual analysis of linked data for humans

International Semantic Web Conference, Springer, Cham, 2014

Konferenz
Linked Data has grown to become one of the largest availableknowledge bases. Unfortunately, this wealth of data remains inaccessi-ble to those without in-depth knowledge of semantic technologies. Wedescribe a toolchain enabling users without semantic technology back-ground to explore and visually analyse Linked Data. We demonstrateits applicability in scenarios involving data from the Linked Open DataCloud, and research data extracted from scientific publications. Our fo-cus is on the Web-based front-end consisting of querying and visuali-sation tools. The performed usability evaluations unveil mainly positiveresults confirming that the Query Wizard simplifies searching, refiningand transforming Linked Data and, in particular, that people using theVisualisation Wizard quickly learn to perform interactive analysis taskson the resulting Linked Data sets. In making Linked Data analysis ef-fectively accessible to the general public, our tool has been integratedin a number of live services where people use it to analyse, discover anddiscuss facts with Linked Data.
2014

Granitzer MIchael, Veas Eduardo Enrique, Seifert C.

Linked Data Query Wizard: A Novel Interface for Accessing SPARQL Endpoints.

LDOW, 2014

Konferenz
In an interconnected world, Linked Data is more importantthan ever before. However, it is still quite di cult to accessthis new wealth of semantic data directly without havingin-depth knowledge about SPARQL and related semantictechnologies. Also, most people are currently used to consumingdata as 2-dimensional tables. Linked Data is by de -nition always a graph, and not that many people are used tohandle data in graph structures. Therefore we present theLinked Data Query Wizard, a web-based tool for displaying,accessing, ltering, exploring, and navigating Linked Datastored in SPARQL endpoints. The main innovation of theinterface is that it turns the graph structure of Linked Datainto a tabular interface and provides easy-to-use interactionpossibilities by using metaphors and techniques from currentsearch engines and spreadsheet applications that regular webusers are already familiar with.
2014

Mutlu Belgin, Tschinkel Gerwald, Veas Eduardo Enrique, Sabol Vedran, Stegmaier Florian, Granitzer Michael

Suggesting visualisations for published data

Information Visualization Theory and Applications (IVAPP), 2014 International Conference on, IEEE, 2014

Konferenz
Research papers are published in various digital libraries, which deploy their own meta-models and tech-nologies to manage, query, and analyze scientific facts therein. Commonly they only consider the meta-dataprovided with each article, but not the contents. Hence, reaching into the contents of publications is inherentlya tedious task. On top of that, scientific data within publications are hardcoded in a fixed format (e.g. tables).So, even if one manages to get a glimpse of the data published in digital libraries, it is close to impossibleto carry out any analysis on them other than what was intended by the authors. More effective querying andanalysis methods are required to better understand scientific facts. In this paper, we present the web-basedCODE Visualisation Wizard, which provides visual analysis of scientific facts with emphasis on automatingthe visualisation process, and present an experiment of its application. We also present the entire analyticalprocess and the corresponding tool chain, including components for extraction of scientific data from publica-tions, an easy to use user interface for querying RDF knowledge bases, and a tool for semantic annotation ofscientific data set
2014

Silva Nelson

The Sixth Sense of an Air Traffic Controller - Increasing Fault Tolerance of Human Machine Interfaces

SID 2014, 2014

Konferenz
2014

Continuous learning with a quiz for stroke nurses

Int. J. Technology Enhanced Learning, Dr. Ambjörn Naeve, Interscience Publishers, 2014

Konferenz
A continuous learning solution was sought which allows stroke nurses to keep the vast body of theoretical knowledge fresh, stay up-to-date with new knowledge, and relate theoretical knowledge to practical experience. Based on the theoretical background of learning in the medical domain, reflective and game-based learning, we carried out a user-oriented design process that involved a focus group and a design workshop. In this process, a quiz that includes both content-based and reflection questions was identified as a viable means of transportation for theoretical knowledge. In this paper we present the result of trialling a quiz with both content-based and metacognitive (reflective) questions in two settings: In one trial the quiz was used by nurses as part of a qualification programme for stroke nurses, in the second trial by nurses outside such a formal continuous learning setting. Both trials were successful in terms of user acceptance, user satisfaction and learning. Beyond this success report, we discuss barriers to integrating a quiz into work processes within an emergency ward such as a stroke unit.
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