The Centre for Digital Health Interventions (CDHI) is a joint initiative of the Department of Management, Technology and Economics at ETH Zurich, the Future Health Technologies Programme at the Singapore-ETH Centre, and the Institute of Technology Management at the University of St. Gallen.

Our interdisciplinary team of computer and social scientists partners with medical experts to design behavioural, scalable and self-improving digital health interventions (“digital pills”) that are effective and cost-efficient. We conduct digital biomarker and chatbot research and use wearable sensors, mobile applications, social media and other technologies for the prevention and management of chronic and mental illness.

Our digital biomarker research explores novel applications at the intersection of medicine, artificial intelligence, and ubiquitous computing. Our chatbot research explores how conversational agents and voice assistants must be designed to improve adherence to health interventions and thus, to support health-promoting behaviour.

We also initiated and participate in the on-going development of the award-winning open-source platform MobileCoach for digital health interventions and ecological momentary assessments.

Our work is published in scientific outlets and as open-source software. Consistent with the Swiss Open Research Data initiative and provided there are no legal, ethical or copyright barriers, data from our (clinical) trials is published in open scientific databases for replication purposes and to allow the application of novel data analytical approaches by academia and industry in the future.


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MobileCoach Open Source Platform

The vision of the MobileCoach platform is to create fully-automated digital interventions. Due to a modular and extendable structure as well as an architecture rooted [...]

Towards a Digital Biomarker for COPD

Chronic obstructive pulmonary disease (COPD) is one of the leading causes of death and affects 251 million people worldwide. In the United States, the direct costs of [...]

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Bérubé, C., Schachner, T., Keller, R., Fleisch, E., von Wangenheim, F., Barata, F., Kowatsch, T., Voice-based Conversational Agents for the Prevention and Management of Chronic and Mental Conditions: A Systematic Literature Review, Journal of Medical Internet Research (JMIR) (Preprint: 10.2196/preprints.25933 ) (forthcoming). [PDF]

Cleres, D., Rassouli, F., Brutsche, M., Kowatsch, T., Barata, F., Lena: a Voice-Based Conversational Agent for Remote Patient Monitoring in Chronic Obstructive Pulmonary Disease, 1st Workshop on Healthy Interfaces (HEALTHI), collocated with the 26th ACM Annual Conference on Intelligent User Interfaces (IUI) – Where HCI meets AI, Virtually Hosted by Texas A&M University, April 13-17, 2021 (forthcoming). [PDF]

Banholzer, N., Feuerriegel, S., Fleisch, E., Bauer, G., Kowatsch, T., Computer mouse movements as a scalable detector of work stress: A longitudinal observational field study , Journal of Medical Internet Research (Preprint: 10.2196/preprints.27121) (forthcoming). [PDF]

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Adapting a breathing training app to include a gameful biofeedback component - A new JMIR research article by Yanick Lukic, Dr. Chen-Hsuan (Iris) Shih, Dr. Alvaro Hernandez Reguera, Amanda Cotti, Prof. Dr. Elgar Fleisch & Prof. Dr. Tobias Kowatsch.

In this workshop paper and presentation, PhD researcher Joseph Ollier shares what he learned about study recruitment for the mental wellbeing app Elena+ using social media. https://www.c4dhi.org/news/lessons-learned-using-facebook-advertising-during-covid-19

How do top-funded companies use conversational agents for the treatment of #Depression? Lead author Aishah Alattas presented her findings at last week's BIOSTEC Conference (http://www.biostec.org/).

Workshop Paper: https://cocoa.ethz.ch/downloads/2021/02/2587_Alattas%20et%20al%202021%20Digital%20Mental%20Health%20CAs.pdf

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