Empower Research Lab
Technology to Support Individuals with Bipolar
Creating intuitive visualizations that reflect the lived experiences of people managing bipolar disorder.
Description
Publications
Quantifying the Changeable Self: The role of self-tracking in coming to terms with and managing bipolar disorder
Human-Computer Interaction · Pages 413–446 · Taylor & Francis · 2017
mental health
interviews
surveys
Self-Monitoring Practices, Attitudes, and Needs of Individuals with Bipolar Disorder: Implications for the Design of Technologies to Manage Mental Health
Journal of the American Medical Informatics Association (JAMIA) · 23(3) Pages 477–484 · Oxford · 2016
mental health
surveys
descriptive statistics
qualitative analysis
Development and evaluation of a smartphone-based measure of social rhythms for bipolar disorder
Mark Matthews, Saeed Abdullah, Elizabeth L. Murnane, Stephen Voida, Tanzeem Choudhury, Geri Gay, Ellen Fran
Assessment · 23(4) Pages 472–483 · Sage · 2016
mental health
mHealth
smartphones
Personal Informatics in Interpersonal Contexts: Towards the Design of Technology that Supports the Social Ecologies of Long-Term Mental Health Management
Proceedings of the ACM on Human-Computer Interaction 2(CSCW) · Pages 1–27 · ACM · 2018
mental health
interviews
focus groups
Being (In) Visible: Privacy, Transparency, and Disclosure in the Self-Management of Bipolar Disorder
Justin Petelka, Lucy Van Kleunen, Liam Albright, Elizabeth L. Murnane, Stephen Voida, Jaime Snyder
Proceedings of the 38th Annual Conference on Human Factors in Computing Systems (CHI) · Pages 1–14 · ACM · 2020
mental health
interviews
privacy
Visually Encoding the Lived Experience of Bipolar Disorder
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI) · Pages 1–14 · ACM · 2019
mental health
visual elicitation
visualization
The Double-Edged Sword: A Mixed Methods Study of the Interplay Between Bipolar Disorder and Technology Use
Computers in Human Behavior (CHB), 75 · Pages 288–300 · 2017
mental health
surveys
quantitative analysis
qualitative analysis
Date
2012 - Present
Keywords
mental health
visualization
