What is it about?
Just-in-Time Adaptive Interventions (JITAIs) are envisioned to harness rich data on users' contexts. However, many JITAIs fall short in leveraging the value of the data while sculpting the interventions. Investigating the literature reveals a lack of user-centered design (UCD) methods in designing JITAIs. This case study of applying a UCD process revealed that even without deploying a JITAI, UCD could uncover user interactions that inform critical design decisions of a JITAI's components. We reflect on our experiences engaging in a user-centered JITAI design process and urge the broader human-computer interaction (HCI) community to devise concrete design guidelines for JITAIs. We take the first step toward that goal by proposing a checklist of key design considerations for future JITAIs. Together, this case study contributes insights on applying UCD to the design of all components of a JITAI, which can help capture users' needs and provide actionable interventions.
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Why is it important?
Just-in-Time Adaptive Interventions (JITAIs) are extensively explored by medicine and behavioral science researchers for supporting health and well-being. However, to harness the richness of JITAIs effectively, there is a need to make them more user-centered so that they can adapt to the myriad of complications of the users' lives. This article looks at how user-centered design processes identify design issues earlier in the process and thus take a step toward making the JITAIs more real-world-ready.
Perspectives
JITAIs are deployed to support the health and well-being of the users. However, if the JITAIs cannot adapt to the varying factors of users' lives, they might not be able to provide adequate and relevant support for the users. This work talks about incorporating the changes in users' lives. I believe that this work is important in making a step toward more real-world-ready JITAIs.
Kazi Sinthia Kabir
University of Utah
Read the Original
This page is a summary of: Ask the Users, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, July 2022, ACM (Association for Computing Machinery),
DOI: 10.1145/3534612.
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