Accessibility settings

This paper is in the following e-collection/theme issue:

Development and Evaluation of Research Methods, Instruments and Tools (1337) e-Learning and Digital Medical Education (1593) Consumer & Patient Education and Shared-Decision Making (1278) New Methods (1798) mHealth in a Clinical Setting (1149)

Published on in Vol 10 (2026)

This is a member publication of University of Toronto

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80998, first published .
MHMR Application Demonstration: Table of Contents for Digital Health & Medical Informatics

Representing Chronic Pain Experiences Through Manual and AI-Driven Vignettes From Video Blog Data With Member Checking: Participatory Design Study

Representing Chronic Pain Experiences Through Manual and AI-Driven Vignettes From Video Blog Data With Member Checking: Participatory Design Study

Authors of this article:

Shehnaz Fatima Lakha1, 2 Author Orcid Image ;   Peter Pennefather3 Author Orcid Image ;   Alamgir Khandwala4 Author Orcid Image ;   Deborah I Fels1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Shehnaz Fatima Lakha   1, 2 , MSc, PhD ;   Peter Pennefather   3 , PhD ;   Alamgir Khandwala   4 , BAS ;   Deborah I Fels   1 , PhD, PEng

1 Inclusive Media and Design Centre, Ted Rogers School of Managment, Toronto Metropolitan University, Toronto, ON, Canada

2 Wellness and Health Enhancement Engineering Lab (WHEEL), Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada

3 Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON, Canada

4 School of Administrative Studies, York University, Toronto, ON, Canada

Corresponding Author: