Publications about Personal Analytics by Jürgen Ziegler
Published in 2022
Health Recommender Systems for Mental Health Promotion
Torkamaan, H. (2022). [PhD thesis, University of Duisburg-Essen].
Published in 2021
Integrating Behavior Change and Persuasive Design Theories into an Example Mobile Health Recommender System
Torkamaan, H., & Ziegler, J. (2021). UbiComp ’21: Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers, 218–225.
Published in 2020
Mobile mood tracking: An investigation of concise and adaptive measurement instruments
Torkamaan, H., & Ziegler, J. (2020). Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 4(4), 155.
Exploring chatbot user interfaces for mood measurement: A study of validity and user experience
Torkamaan, H., & Ziegler, J. (2020). Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers, 135–138.
Published in 2019
Rating-based preference elicitation for recommendation of stress intervention
Torkamaan, H., & Ziegler, J. (2019). ACM UMAP 2019 - Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization, 46–50.
Published in 2018
Multi-criteria rating-based preference elicitation in health recommender systems
Torkamaan, H., & Ziegler, J. (2018). Proceedings of the Third International Workshop on Health Recommender Systems Co-Located with Twelfth ACM Conference on Recommender Systems (HealthRecSys’18), 2216, 18–23.
Recommending Running Routes: Framework and Demonstrator
Loepp, B., & Ziegler, J. (2018). Proceedings of the 2nd Second Workshop on Recommendation in Complex Scenarios (ComplexRec ’18), 26–29.
Published in 2017
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.
Published in 2016
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). CHI EA ’16: Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, 1637–1646.
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). Springer International Publishing.