Mathias Funk
Eindhoven University of Technology
146 Papers
411 Citations
Mathias Funk is an academic researcher from Eindhoven University of Technology. The author has contributed to research in topics: Computer science & Interaction design. The author has an hindex of 17, co-authored 124 publications.
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Papers
Biofeedback for Everyday Stress Management: A Systematic Review
TL;DR: Based on the evidence reviewed, HRV, multimodal biofeedback, RSP, HR, and GSR appear to be the most common techniques for alleviating stress and various emerging HCI technologies could be used to address these challenges.
Designing for action: An evaluation of Social Recipes in reducing food waste
Veranika Lim,Veranika Lim,Mathias Funk,Lucio Marcenaro,Carlo S. Regazzoni,Matthias Rauterberg +5 more
TL;DR: Evaluated Social Recipes, a component or concept that aims at encouraging food sharing by suggesting groups of related consumers recipes that are based on ingredients from different individuals or households, showed that Social Recipes has raised awareness of in-home food availability and triggered food-related conversations among participants resulting in knowledge gain.
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•Proceedings Article
Advances in learning analytics and educational data mining
Mehrnoosh Vahdat,Alessandro Ghio,Luca Oneto,Davide Anguita,Mathias Funk,Gwm Matthias Rauterberg +5 more
- 01 Jan 2015
TL;DR: A review of research and practice in LA and EDM is presented accompanied by the most central methods, bene- ts, and challenges of the eld.
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Interactive storytelling in a mixed reality environment: The effects of interactivity on user experiences
TL;DR: One of the stages from the interactive ALICE installation was used to investigate immersiveness and its contributing factors in a between-group design with a special focus on the effects of interactivity, and the feedback and feedforward stimuli of the environment on the users’ experiences.
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AffectiveWall: Designing Collective Stress-Related Physiological Data Visualization for Reflection
TL;DR: This paper aims at engaging workplace stress reflection on objective stress-related physiological data using a shared display, which provides an anonymous view of the individual stress- related physiological signals through a collective visualization.