Publications related to Towards a User Integration Framework for Personal Health Decision Support and Recommender Systems
Health Recommender Systems for Mental Health Promotion
Torkamaan, H. (2022). [PhD thesis, University of Duisburg-Essen].
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.
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.
Beyond Algorithmic Fairness in Recommender Systems
Elahi, M., Abdollahpouri, H., Mansoury, M., & Torkamaan, H. (2021). UMAP ’21: Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 41–46.
Investigating mechanisms for user integration in the activity goal recommendation process by interface design
Herrmanny, K., Löppenberg, S., & Schwarz, M. (2019). IntRS 2019: Proceedings of the 6th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, 46–54.
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.
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.
Recommendations as Challenges: Estimating Required Effort and User Ability for Health Behavior Change Recommendations
Torkamaan, H., & Ziegler, J. (2022). 27th International Conference on Intelligent User Interfaces, 106–119.
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.
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.
Towards Health (Aware) Recommender Systems
Schäfer, H., Hors-Fraile, S., Karumur, P. R., Valdez, C. A., Said, A., Torkamaan, H., Ulmer, T., & Trattner, C. (2017). Proceedings of the 2017 International Conference on Digital Health, 157–161.
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. De Gruyter Oldenbourg.
Gamification für ältere Menschen – Potenziale und Herausforderungen
Hierhammer, C., & Herrmanny, K. (2013). In S. Boll, S. Maaß, & R. Malaka (Eds.), Mensch & Computer 2013 - Workshopband: 13. fachübergreifende Konferenz für interaktive und kooperative Medien. Oldenbourg.
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.
How Can They Know That? A Study of Factors Affecting the Creepiness of Recommendations
Torkamaan, H., Barbu, C.-M., & Ziegler, J. (2019). In T. Bogers & A. Said (Eds.), Proceedings of the 13th ACM Conference on Recommender Systems (pp. 423–427). ACM.
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.
Merging Interactive Information Filtering and Recommender Algorithms: Model and Concept Demonstrator
Loepp, B., Herrmanny, K., & Ziegler, J. (2015). i-Com, 14(1), 5–17.
Blended Recommending: Integrating Interactive Information Filtering and Algorithmic Recommender Techniques
Loepp, B., Herrmanny, K., & Ziegler, J. (2015). Proceedings of the 33rd International Conference on Human Factors in Computing Systems (CHI ’15), 975–984.