Helma Torkamaan, M. Sc.

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.

Currently, there are several topics for master/bachelor thesis. Write an email for more information. Please include “[Thesis]” in the subject (thesis with brackets).


Phone +49 (203) 379-2276
Fax +49 (203) 379-3557
Office LF 288
LSF view


Beyond Algorithmic Fairness in Recommender Systems

Integrating Behavior Change and Persuasive Design Theories into an Example Mobile Health Recommender System

Towards a User Integration Framework for Personal Health Decision Support and Recommender Systems

Mobile mood tracking: An investigation of concise and adaptive measurement instruments

Exploring chatbot user interfaces for mood measurement: A study of validity and user experience

How Can They Know That? A Study of Factors Affecting the Creepiness of Recommendations

Rating-based preference elicitation for recommendation of stress intervention

Multi-criteria rating-based preference elicitation in health recommender systems

Towards Health (Aware) Recommender Systems

A Taxonomy of Mood Research and Its Applications in Computer Science