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.





Health Recommender Systems for Mental Health Promotion

STRETCH: Stress and Behavior Modeling with Tensor Decomposition of Heterogeneous Data

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