Technology to Support Individuals with Bipolar

Creating intuitive visualizations that reflect the lived experiences of people managing bipolar disorder.

Description

This project develops metaphor-based information visualizations that are more intuitive, meaningful, and better resonate with the lived experiences those data represent. The current focus is on understanding and visually encoding the mental imagery people associate with the symptoms of their bipolar disorder.

Publications

Quantifying the Changeable Self: The role of self-tracking in coming to terms with and managing bipolar disorder

Mark Matthews, Elizabeth L. Murnane, Jaime Snyder

Human-Computer Interaction · Pages 413–446 · Taylor & Francis · 2017

mental health

interviews

surveys

DOI Technology to Support Individuals with Bipolar Project

Self-Monitoring Practices, Attitudes, and Needs of Individuals with Bipolar Disorder: Implications for the Design of Technologies to Manage Mental Health

Elizabeth L. Murnane, Dan Cosley, Pamara Chang, Shion Guha, Ellen Frank, Geri Gay, Mark Matthews

Journal of the American Medical Informatics Association (JAMIA) · 23(3) Pages 477–484 · Oxford · 2016

mental health

surveys

descriptive statistics

qualitative analysis

DOI Technology to Support Individuals with Bipolar Project

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

DOI Technology to Support Individuals with Bipolar Project

Personal Informatics in Interpersonal Contexts: Towards the Design of Technology that Supports the Social Ecologies of Long-Term Mental Health Management

Elizabeth L. Murnane, Tara G. Walker, Beck Tench, Stephen Voida, Jaime Snyder

Proceedings of the ACM on Human-Computer Interaction 2(CSCW) · Pages 1–27 · ACM · 2018

mental health

interviews

focus groups

DOI Technology to Support Individuals with Bipolar Project

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

DOI Technology to Support Individuals with Bipolar Project

Visually Encoding the Lived Experience of Bipolar Disorder

Jaime Snyder, Elizabeth Murnane, Caitie Lustig, Stephen Voida

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI) · Pages 1–14 · ACM · 2019

mental health

visual elicitation

visualization

DOI Technology to Support Individuals with Bipolar Project

The Double-Edged Sword: A Mixed Methods Study of the Interplay Between Bipolar Disorder and Technology Use

Mark Matthews, Elizabeth L. Murnane, Jaime Snyder, Shion Guha, Pamara Chang, Gavin Doherty, Geri Gay

Computers in Human Behavior (CHB), 75 · Pages 288–300 · 2017

mental health

surveys

quantitative analysis

qualitative analysis

DOI Technology to Support Individuals with Bipolar Project

Collaborators

Graduate students: Caitie Lustig (University of Washington), Justin Petelka (University of Washington), Beck Tench (University of Washington), Lucy Van Kleunen (University of Colorado Boulder)

Collaborators: Prof. Mark Matthews (University College Dublin), Prof. Jaime Snyder (University of Washington), Prof. Steve Voida (University of Colorado Boulder)

Date

2012 - Present

Keywords

mental health

visualization

Team Members

Liz Murnane