PeDEL

Personal Data and Empowerment Lab

Advancing the Path for a More Human-centered Design of Just-in-Time Adaptive Interventions (JITAIs)


Just-in-Time Adaptive Interventions (JITAIs) are technology designed with the vision of supporting the right person at the right time with the right intervention.  A plethora of studies have explored JITAIs for supporting the users' health, and well-being. However, many existing JITAIs either do not collect user's context and behavior information, or even if they collect the data, they do not leverage the richness of the data while tailoring the intervention content. The formative work of this research suggests a lack of guidance for designing JITAIs that account for the myriad of complications of the users' lives. This project is about advancing the path for designing more user-centered JITAIs that can account for the diverse factors of users' lives. To be specific, this work will provide specific guidelines for designing JITAIs that account for the diverse ways users interact with technology for supporting health and well-being. This work is motivated by the formative studies we have conducted with different populations (e.g., patients with prostate cancer, healthcare providers), the case study I have explored for designing JITAIs (for people with prostate cancer), and a systematic review of current design practices of JITAIs that we have been working on (ongoing). Initial work from these projects shows how user-centered study findings can evolve the design of a JITAI and how interdisciplinary researchers might struggle to be aware of these findings reported in a score of HCI literature. Thiswork will benefit the interdisciplinary research community by bridging this knowledge gap as well as by providing them with concrete guidelines for the user-centered design of JITAIs. 

Publications


“We’re Not Meant to Deal with Crisis for a Year”: Supporting Frontline Healthcare Providers’ Wellness During a Pandemic


Kazi Sinthia Kabir, Alexandra Flis, Melody Mickens, Stephen K. Trapp, Jason Wiese

Pervasive Computing Technologies for Healthcare, Springer International Publishing, Virtual, 2022, pp. 147-163


The Challenge for Just-in-Time Adaptive Interventions: Incomplete or Missing Data


Kazi Sinthia Kabir, Jason Wiese

CHI ’22 Workshop: Grand Challenges for Personal Informatics and AI, 2022


Ask the Users: A Case Study of Leveraging User-Centered Design for Designing Just-in-Time Adaptive Interventions (JITAIs)


Kazi Sinthia Kabir, Stacey A. Kenfield, Erin L. Van Blarigan, June M. Chan, Jason Wiese

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), vol. 6(2), 2022, p. 21


"I'm Done with Cancer. What am I Trying to Improve?": Understanding the Perspective of Prostate Cancer Patients to Support Multiple Health Behavior Change


Kazi Sinthia Kabir, Erin L. Van Blarigan, June M. Chan, Stacey A. Kenfield, Jason Wiese

PervasiveHealth, International Conference on Pervasive Computing, 2019 Apr 19, pp. 81-90