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.



Aysegül Dogangün

Personal Analytics group leader

Katja Herrmanny


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., & ACM CHI 2016. (2016). In CHI EA ’16: Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems (pp. 1637–1646). New York, NY, USA: ACM.

Supporting users in setting effective goals in activity tracking

Herrmanny, K., Ziegler, J., Dogangün, A., & PERSUASIVE 2016. (2016). In A. Meschtscherjakov, B. De Ruyter, V. Fuchsberger, M. Murer, & M. Tscheligi (Eds.), Persuasive Technology: 11th International Conference ; PERSUASIVE 2016 ; Salzburg, Austria, April 5-7, 2016 ; Proceedings (Vol. 9638, pp. 15–26). Cham: Springer International Publishing.

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

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

Das Projekt PAnalytics – Selbstmonitoring für gesundes Altern

Beckmann, N., Dogangün, A., Herrmanny, K., Sauer, H., & Kloppenborg, K. (2015). In A. Weisbecker, M. Burmester, & A. Schmidt (Eds.), Mensch und Computer 2015 – Workshopband. Berlin [u.a.]: De Gruyter Oldenbourg.

A taxonomy of mood research and its applications in computer science

Torkamaan, H., & Ziegler, J. (2018). In 2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII) (pp. 421–426). Piscataway: Institute of Electrical and Electronics Engineers Inc.

Towards Health (Aware) Recommender Systems

Schäfer, H., Hors-Fraile, S., Karumur, P. R., Valdez, C. A., Said, A., Torkamaan, H., … Trattner, C. (2017). In Proceedings of the 2017 International Conference on Digital Health (pp. 157–161). New York: ACM.

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

Bakhtiyari, K., Beckmann, N., & Ziegler, J. (2017). Procedia Computer Science, 109, 498–505.

Measuring local pulse transit time for affective computing applications

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

Measuring local pulse transit time for affective computing applications

Beckmann, N., Viga, R., Dogangün, A., & Grabmaier, A. (2017). In 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 (pp. 30–31). Mülheim an der Ruhr: Hochschule Ruhr West.

Reproducibility of photoplethysmography-based local pulse transit time measurement

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


Related projects


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


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


Developing a social-network platform for elderly people

Related developments


A serious game for training mental rotation skills