Developing tools to inform AI-based health informatics system design about user behaviors


This work is a combination of several projects that I have worked on. Overall, this work focuses on creating tools that support the translation of personal informatics knowledge from academic research to design practice in the industry for creating AI-based health informatics systems.

My role: Lead researcher (lead the studies, conduct user interviews, systematic literature reviews, and analyze data)

Other stakeholders: Computer scientists, Epidemiologist, Biostatitian, Rehabilitation psychologists, Clinical research coordinators, Software developers

User population studied: Prostate cancer patients, surgeons, nurses, resident doctors

User study methods: Semi-structured interviews, surveys, focus groups, fitness tracker data

Tools and analysis methods used: REDCap, Miro, ATLAS.ti, Otter.ai, Zoom communications, Fitabase, Miro, Reflexive thematic analysis
Affinity diagram for thematic analysis of P8V2 project

Publications


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

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. (IMWUT), vol. 6, Association for Computing Machinery, New York, NY, USA, 2022 Jul


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


Kazi Sinthia Kabir, Jason Wiese

CHI 2022 Workshop on the Grand Challenges in Personal Informatics and AI, 2022 May


"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

Hadas Lewy, Refael Barkan, Pervasive Computing Technologies for Healthcare, Springer International Publishing, Cham, 2021, pp. 147--163


"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'19, Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare, Association for Computing Machinery, New York, NY, USA, 2019, pp. 81–90


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