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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.

LATEST NEWS

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LATEST PROJECTS

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 [...]

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LATEST PUBLICATIONS

Föll, S., Maritsch, M., Spinola, F., Barata, F., Kowatsch, T., Mishra, V., Fleisch, E., Wortmann, F., FLIRT: A Feature Generation Toolkit for Wearable Data, Computer Methods and Programs in Biomedicine (forthcoming).

Lukic, Y., Klein, S., Brügger, V., Keller, O., Fleisch, E., Kowatsch, T., The Impact of a Gameful Breathing Training Visualization on Intrinsic Experiential Value, Perceived Effectiveness, and Engagement Intentions: Between-Subject Online Experiment, JMIR Serious Games 9(3):e22803, 10.2196/22803, Visual Abstract by Y. Lukic. [PDF]

Nißen, M.K., Selimi, D., Janssen, A., Rodríguez Cardona, D., Breitner, M.H., Kowatsch, T., von Wangenheim, F., See you soon again, chatbot? A design taxonomy to characterize user-chatbot relationships with different time horizons, Computers in Human Behavior, Available online 5 October 2021, 10.1016/j.chb.2021.107043. [PDF]

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LATEST TWEETS

Join us for our next #guestlecture on Monday, October 25, from 2:30 pm - 3:30 pm CET for Najat Kahn's talk on "Data Science and Digital Health in Pharmaceutical R&D"!

Registration is not required and more info can be found here: https://bit.ly/2YBrhAO

#guestlecture #healthcare

Are you a #student and experience #stress during your studies? Meet MISHA, a #digital #coach that helps students with stress management - follow the QR code on the flyer.

#digitalhealth #mentalhealth #stress #stressmanagement #innovation #research #chatbots

Interested in #mental #healthcare? Check out the recent systematic #literaturereview on popular mobile apps for individuals with depression in @jmirpub from our lab! Visual Abstract: https://bit.ly/3FtSsPd Full article: https://lnkd.in/dEZ9tjfn

#mentalhealth #research

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If you have any open questions, please feel free to contact us.

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