Helma Torkamaan (former member)

Helma joined the Interactive System Group in 2016. She has a master’s degree in computer science from the University of Bonn and a bachelor in Information Technology Engineering.

Before joining the group, she investigated affect, mood, and emotion research for computer scientists within Menthal project; worked as a user-experience expert & researcher in Deutsche Telekom, and beforehand; originated a user-centered business solution for interdisciplinary IT project management that is being used today.

Helma is interested in the intersection between computer science and psychology, namely the application of recommender systems & data mining on human behavior considering human-computer interaction. She is conducting research on the improvement of human mental and physical health with higher user satisfaction.

Thesis

Contact

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Publications

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].

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.

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.

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.

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.

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.