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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.

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.

In-app reflection guidance for workplace learning means motivating and guiding users to reflect on their working and learning, based on users' activities captured by the app. In this paper, we present ageneric concept for such in-app reflection guidance for workplace learning, its implementation in three di erent applications, and its evaluation in three di erent settings (one setting per app). From this experience, we draw the following lessons learned: First, the implemented in-appreflection guidance components are perceived as useful tools for reflective learning and their usefulness increases with higher usage rates. Second, smart technological support is su fficient to trigger reflection, however with di fferent implemented components also reflective learning takesplace on di erent stages. A sophisticated, unobtrusive integration in the working environment is not trivial at all. Automatically created prompts need a sensible timing in order to be perceived as useful and must not disrupt the current working processes.

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.