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The Science behind it


1. Castro, O., et al. Development of LvL UP – a holistic digital lifestyle coaching intervention for the prevention of non-communicable disease and common mental disorders (inpreparation)

2. Jakob, R., et al. Factors Influencing Adherence to mHealth Apps among Adults with Non- communicable Disease: A Systematic Review, Journal of Medical Internet Research

3. Lukic, Y., et al. Breathing as Input Modality in a Gameful Breathing Training App: Development and Evaluation of Breeze 2, JMIR Serious Games Preprints

4. Mair, J.L., et al. Umbrella review of effective Behavioural Change Techniques in Digital Health Interventions targeting Non-Communicable Diseases (in preparation)

5. Mair, J.L., et al. Exploring the potential for emerging digital health solutions to address behavioural risk factors for the prevention of non-communicable diseases in Asian populations:
A qualitative study (in preparation)

6. Salamanca Sanabria, A., et al. Top-funded companies offering digital interventions for the prevention and treatment of depression (in preparation)

7. Salamanca Sanabria, A., et al. Exploring Perceptions of mHealth interventions for the Prevention of Common Mental Disorders in University Students and Mental Health Supporters in Singapore:
A Qualitative Study (in preparation)

8. Zheng, S., et al. Effectiveness of holistic mHealth interventions for non-communicable disease prevention: a systematic review (in preparation)


1. Alattas, A., et al. To what scale are conversational agents used by top-funded companies offering digital mental health services for depression?, Proceedings of the 14 th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021)

2. Keller, R., et al. Are Conversational Agents Used at Scale by Companies Offering Digital Health Services for the Management and Prevention of Diabetes?, Proceedings of the 14 th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021)

3. Keller, R., et al. Digital Behavior Change Interventions for the Prevention and Management of Type-2 Diabetes: Systematic Market Analysis, Journal of Medical Internet Research

4. Kowatsch, T., et al. A Playful Smartphone-based Self- regulation Training for the Prevention and Treatment of Child and Adolescent Obesity: Technical Feasibility and Perceptions of Young Patients, 1st Workshop on Healthy Interfaces (HEALTHI), collocated with the 26th ACM Annual Conference on Intelligent User Interfaces (IUI) – Where HCI meets AI

5. Lukic, Y., et al. The Impact of a Gameful Breathing Training Visualization on Intrinsic Experiential Value, Perceived Effectiveness, and Engagement Intentions: Between-Subject Online Experiment, JMIR Serious Games

6. Lukic, Y., et al. Physiological Responses and User Feedback on a Gameful Breathing Training App: Within-Subject Experiment, JMIR Serious Games

7. Mair, J.L. et al. Should we use activity tracker data from smartphones and wearables to understand population physical activity patterns?, Journal for the Measurement of Physical Behaviour

8. Ollier, J., et al. Elena+ Care for COVID-19, A pandemic lifestyle care intervention: intervention design and study protocol, Frontiers in Public Health

9. Stasinaki, A., et al. Effects of a novel mobile health intervention compared to a multi-component behaviour changing program on body mass index, physical capacities and stress parameters in adolescents with obesity: a randomized controlled trial, BMC Pediatrics

10. Stieger, M., et al. Changing Personality Traits with the Help of a Digital Personality Change Intervention, Proceedings of the National Academy of Sciences of the United States of America (PNAS)

11. Teepe, G.W., et al. Just-in-time Adaptive Mechanisms of Popular Mobile Applications for Individuals with Depression: Systematic Review, Journal of Medical Internet Research


1. Schachner, T., et al. Artificial Intelligence-Based Conversational Agents for Chronic Conditions: Systematic Literature Review, Journal of Medical Internet Research

2. Tudor Car, L., et al. Conversational Agents in Health Care: A Scoping and Conceptual Analysis, Journal of Medical Internet Research


1. Shih, C. H., et al. Breeze: Smartphone-based Acoustic Real-time Detection of Breathing Phases for a Gamified Biofeedback Breathing Training, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)


1. Shih, I., et al. Towards The Design of a Smartphone-Based Biofeedback Breathing Training: Identifying Diaphragmatic Breathing Patterns from a Smartphone’s Microphone, Proceedings of the 10th Mediterranean Conference on Information Systems (MCIS)