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Predicting States of Receptivity for Just-in-time Adaptive Interventions

Predicting States of Receptivity for Just-in-time Adaptive Interventions

Recent advancements in mobile sensing technologies have led to novel intervention concepts, including just-in-time adaptive interventions (JITAI). The JITAI concept shows great potential because it aims to provide the right intervention, at the right time. The right timing of an intervention is crucial so that the content can be received and processed by those being targeted.

Although previous research has extensively explored the role of context in users’ responsiveness towards generic phone notifications, it has not been thoroughly explored for digital health interventions. In this project, we explore the factors affecting users’ states of receptivity towards JITAIs and develop learning algorithms that are able to predict states of recepetivity. To reach this goal, we conducted several field studies, where participants received various health interventions.

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Publications

Künzler, F. (2019) Context-aware notification management systems for just-in-time adaptive interventions, PhD Forum at the IEEE International Conference on Pervasive Computing and Communications (PerCom), Kyoto, Japan, 435-436. (PDF)

Kramer, J., Künzler, F., Mishra, V., Presset, B., Smith, S.N., Scholz, U., Kotz, D.F., Kowatsch, T. (2019) Investigating Intervention Components and Exploring States of Receptivity for a Smartphone App to Promote Physical Activity: Protocol of a Microrandomized Trial, JMIR Research Protocols, 8(1), e11540. (PDF)

Künzler, F., Kramer, J., Kowatsch, T. (2017) Efficacy of Mobile Context-aware Notification Management Systems: A Systematic Literature Review and Meta-Analysis, IEEE 13th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Rome, Italy, 131-138. (PDF)

Related Work

Kowatsch, T., Volland, D., Shih, I., Rüegger, D., Künzler, F., Barata, F., Filler, A., Büchter, D., Brogle, B., Heldt, K., Gindrat, P., Farpour-Lambert, N., l’Allemand, D. (2017) Design and Evaluation of a Mobile Chat App for the Open Source Behavioral Health Intervention Platform MobileCoach, In: Maedche A., vom Brocke J., Hevner A. (eds) Designing the Digital Transformation. DESRIST 2017. Lecture Notes in Computer Science, vol 10243. Springer: Berlin; Germany, 485-489. (Paper-PDF | Poster-PDF | Slide-PDF | Screencast)

Filler, A., Kowatsch, T., Haug, S., Wahle, F., Staake, T. & Fleisch, E. (2015) MobileCoach: A Novel Open Source Platform for the Design of Evidence-based, Scalable and Low-Cost Behavioral Health Interventions – Overview and Preliminary Evaluation in the Public Health Context. Wireless Telecommunications Symposium 2015 (WTS 2015), New York, USA. ***Outstanding Paper Award & Best Graduate Student Paper Award*** PDF

CDHI Research Tean

Florian Künzler, Jan-Niklas Kramer, Matthias Heuberger, Prof. Dr. Elgar Fleisch, Prof. Dr. Tobias Kowatsch

Runtime

Jan 2017 – Dec 2019

Partners

Varun Mishra, Prof. David F. Kotz, PhD & Prof. Catherine Stanger, PhD (Center for Technology and Behavioral Health, Dartmouth College), Prof. Dr. Birgit Kleim & Prof. Dr. Mathias Allemand (University of Zurich)

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Funding
The Swiss National Science Foundation (SNSF)
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