Personal Analytics and Digital Health

We investigate novel approaches for highly adpative persuasive technology related to health and well-being. Persuasion can, for instance, be realized in a playful way - as a serious game - or as a monitoring app. In our work we focus on activity recognition, user-modelling and methods to generate user- and context-adaptive recommendations. Our work in this area is interdisciplinary integrating the disciplines computer engineering, cognition science, ethics, electrical engineering, and health science.

Personal Analytics

Personal Analytics for health reasons, also known as Self-Monitoring, Health-Monitoring, Self-Tracking, or Quantified Self, is a new research topic with increasing relevance pushed by a wide-spread of smartphones and sensor-technologies for private use. The research topic implies the fields of pervasive computing, ubiquitous sensor networks, data analysis, and persuasive technology.

Health and Serious Games

A serious game is a specific type of game whose primary purpose goes beyond pure entertainment by teaching knowledge or training skills. Our group develops and evaluates serious game concepts and prototypes within different application areas with a focus on health care, physical and mental fitness. The track record of our group includes games like a health game prototype, which shall improve the self-management process of teenage patients with insulin-dependent diabetes as well as a serious game with tangible interfaces for cognitive training.

Contact

Aysegül Dogangün

Personal Analytics group leader

Katja Herrmanny

Researcher

Related publications

Using psychophysiological parameters to support users in setting effective activity goals

Herrmanny, K., Beckmann, N., Nachbar, K., Sauer, H., Ziegler, J., Dogangün, A., and ACM CHI 2016 (2016). CHI EA ’16: Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, 1637–1646. New York, NY, USA: ACM.

Supporting users in setting effective goals in activity tracking

Herrmanny, K., Ziegler, J., Dogangün, A., and PERSUASIVE 2016 (2016). Persuasive Technology: 11th International Conference ; PERSUASIVE 2016 ; Salzburg, Austria, April 5-7, 2016 ; Proceedings, 9638, 15–26. Cham: Springer International Publishing.

Sensor-based and tangible interaction with a TV community platform for seniors

Herrmanny, K., Gözüyasli, L., Deja, D., and Ziegler, J. (2015). Proceedings of the 7th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS ’15), 180–189. New York, NY, USA: ACM.

Das Projekt PAnalytics – Selbstmonitoring für gesundes Altern

Beckmann, N., Dogangün, A., Herrmanny, K., Sauer, H., and Kloppenborg, K. (2015). Mensch und Computer 2015 – Workshopband. Berlin [u.a.]: De Gruyter Oldenbourg.

Reproducibility of photoplethysmography-based local pulse transit time measurement

Beckmann, N., Viga, R., Dogangün, A., and Grabmaier, A. (2017). 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 246–249. Piscataway, NJ: IEEE.

Measuring local pulse transit time for affective computing applications

Beckmann, N., Viga, R., Dogangün, A., and Grabmaier, A. (2017). Industrial and medical measurement and sensor technology, vehicle sensor technnology: IEEE Workshop 2017 : abstractbook, 106–107. Mülheim an der Ruhr: Hochschule Ruhr West.

Measuring local pulse transit time for affective computing applications

Beckmann, N., Viga, R., Dogangün, A., and Grabmaier, A. (2017). 2nd YRA MedTech Symposium, Young Researchers Academy: booklet : jointly held with the IEEE Workshop & SENSORICA 2017 Hochschule Ruhr West, June 8-9, Mülheim a. d. Ruhr, Germany, 2017, 30–31. Mülheim an der Ruhr: Hochschule Ruhr West.

Contactless heart rate variability measurement by IR and 3D depth sensors with respiratory sinus arrhythmia

Bakhtiyari, K., Beckmann, N., Ziegler, J., and The 8th International Conference on Ambient Systems, Networks and Technologies, Madeira, Portugal May 16-19, 2017 (2017). Procedia Computer Science, 7, 498–505.

KinRes: Depth Sensor Noise Reduction in Contactless Respiratory Monitoring

Bakhtiyari, K., Ziegler, J., and Husain, H. (2017). The 11th EAI International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth), Barcelona, Spain, 23-26 May 2017.

Smartphone based HRV measurement - an unobtrusive and flexible approach

Beckmann, N., Dammin, N., Viga, R., and Dogangün, A. (2016). Young Researchers Academy MedTech in NRW: 1st YRA MEdTech Symposium. Duisburg: Univ.

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Related projects

PAnalytics

Developing a holistic persuasive self-monitoring system to support healthy aging

Engage.NRW

Interaktive Lösungen für die Wirtschaft / Interactive solutions for business

GDI Ruhr

Tapping the full potentials of the games industry and incarnating these into an expertise-network

FoSIBLE

Developing a social-network platform for elderly people

Related developments

Merobrixx

A serious game for training mental rotation skills