Publications by Helma Torkamaan
Published in 2022
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.
Health Recommender Systems for Mental Health Promotion
Torkamaan, H. (2022). [PhD thesis, University of Duisburg-Essen].
Published in 2021
STRETCH: Stress and Behavior Modeling with Tensor Decomposition of Heterogeneous Data
Wang, C., Sahebi, S., & Torkamaan, H. (2021). In J. He, R. Unland, E. Santos Jr., X. Tao, H. Purohit, W.-J. van den Heuvel, J. Yearwood, & J. Cao (Eds.), WI-IAT ’21: IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (pp. 453–462). Association for Computing Machinery.
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.
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.
Towards a User Integration Framework for Personal Health Decision Support and Recommender Systems
Herrmanny, K., & Torkamaan, H. (2021). In J. Masthoff, E. Herder, N. Tintarev, & M. Tkalčič (Eds.), Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization (pp. 65–76). Association for Computing Machinery.
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
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.
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.
Published in 2017
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.
A Taxonomy of Mood Research and Its Applications in Computer Science
Torkamaan, H., & Ziegler, J. (2017). 2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII), San Antonio, Texas, October 23-26, 421–426.