Dr.ir. H. (Helma) Torkamaan
Dr.ir. H. (Helma) Torkamaan
Profile
Profile
Helma is an Assistant Professor in AI for Health Systems in the Systems Engineering section of the Department of Multi-Actor Systems. She pursued her PhD, working on the application of recommender systems in the health domain, in the Interactive Systems group at the University of Duisburg-Essen, Germany. Before that, she obtained her master's degree in computer science from the University of Bonn and gained experience in the industry.
Research
A substantial portion of Helma's recent background has involved researching in the area of mobile health, health recommender systems, and Human-Computer Interaction (HCI). She builds systems and solutions using a highly interdisciplinary and collaborative approach to technology design that involves tools, techniques, resources, and perspectives from computer science, psychology, business, and health care. This process considers both multistakeholder and end-user needs, satisfaction, and emotional experiences.
Helma's research has aimed at: Building solutions for challenges inherent in the complex nature of health systems; Developing the future of technology-enhanced mental and physical well-being; Designing human-centered personalized interactive systems for empowering users and improving various areas, such as health, affect, behavior change, and joyful task completion; Creating technologies and tools that support better understanding, modeling, and prediction of human behavior and needs; and Evaluating these AI-driven solutions responsibly and properly considering their long-term individual, mental, environmental, and societal challenges and impacts.
Expertise
Publications
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2023
Mood Measurement on Smartphones
Which Measure, Which Design?
Helma Torkamaan -
2023
The risks of using ChatGPT to obtain common safety-related information and advice
Oscar Oviedo-Trespalacios / Amy E. Peden / Thomas Cole-Hunter / Arianna Costantini / Milad Haghani / J. E. Rod / Sage Kelly / Helma Torkamaan / Amina Tariq / James David Albert Newton / Timothy Gallagher / Steffen Steinert / Ashleigh J. Filtness / Genserik Reniers
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2022
Recommendations as Challenges
Estimating Required Effort and User Ability for Health Behavior Change Recommendations
Helma Torkamaan / Jürgen Ziegler -
2021
Beyond Algorithmic Fairness in Recommender Systems
Mehdi Elahi / Himan Abdollahpouri / Masoud Mansoury / Helma Torkamaan
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2021
Integrating Behavior Change and Persuasive Design Theories into an Example Mobile Health Recommender System
Helma Torkamaan / Jurgen Ziegler
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Ancillary activities
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2022-11-16 - 2025-09-30
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2019-01-03 - 2024-12-12
Other services