Publications and Talks.
These are my highlights. For a full list of publications, please refer to my CV.
Dissertation.
Human-Centered and Computational Understanding for the Design and Adaptation of Mental Health and Well-being Interventions
J. Suh
University of Washington Doctoral Dissertation UW Archive
Workplace Wellbeing.
Design of Digital Workplace Stress‑Reduction Intervention Systems: Effects of Intervention Type and Timing
E. Howe, J. Suh, M. Bin Morshed, D. McDuff, K. Rowan, J. Hernandez, M. Ihab Abdin, G. Ramos, T. Tran, and M. Czerwinski.
AffectiveSpotlight: Facilitating the Communication of Affective Responses from Audience Members during Online Presentations
P. Murali, J. Hernandez, D. McDuff, K. Rowan, J. Suh, and M. Czerwinski
MeetingCoach: An Intelligent Dashboard for Supporting Effective and Inclusive Meetings
S. Samrose, D. McDuff, R. Sim, J. Suh, K. Rowan, J. Hernandez, S. Rintel, K. Moynihan, and M. Czerwinski
Remote Work and Well-being
S. Iqbal, J. Suh, M. Czerwinski, G. Mark, and J. Teevan
The New Future of Work Symposium 2020 PDF
Design and Evaluation of Intelligent Agent Prototypes for Assistance with Focus and Productivity at Work
T. Grover, K. Rowan, J. Suh, D. McDuff, and M. Czerwinski
Collaborative Care.
Parallel Journeys of Patients with Cancer and Depression: Challenges and Opportunities for Technology-Enabled Collaborative Care
J. Suh, S. Williams, J. R. Fann, J. Fogarty, G. Hsieh, and A. M. Bauer
Human-Centered Methods to Inform the Design of InformationTechnologies for Team-Based Depression Care
J. Suh, S. Williams, J. R. Fann, J. Fogarty, G. Hsieh, and A. M. Bauer,
Human Needs.
Disparate impacts on online information access during the Covid-19 pandemic
J. Suh, E. Horvitz, R. W. White, and T. Althoff
Nature Communications 2022 PDF DOI
Population-Scale Study of Human Needs and Disparities during the COVID-19 Pandemic
J. Suh, E. Horvitz, R. W. White, and T. Althoff
WWW Web of Health 2021 Talk
Population-Scale Study of Human Needs during the COVID-19 Pandemic: Analysis and Implications
J. Suh, E. Horvitz, R. W. White, and T. Althoff
Machine Teaching.
ForSense: Accelerating Online Research through Sensemaking Integration and Machine Research Support
N. Rachatasumrit, G. Ramos, J. Suh, R. Ng, and C. Meek,
Interactive Machine Teaching: A Human-Centered Approach to Building Machine-Learned Models
G. Ramos, C. Meek, P. Simard, J. Suh, and S. Ghorashi
Human-Computer Interaction PDF DOI
Understanding and Supporting Knowledge Decomposition for Machine Teaching
F. Ng, J. Suh, and G. Ramos
Anchorviz: Facilitating Semantic Data Exploration and Concept Discovery for Interactive Machine Learning
J. Suh, S. Ghorashi, G. Ramos, N.-C. Chen, S. Drucker, J. Verwey, and P. Simard
Responsible AI.
Guidelines for Assessing and Minimizing Risks of Emotion Recognition Applications
J. Hernandez, J. Lovejoy, D. McDuff, J. Suh, T. O’Brien, A. Sethumadhavan, G. Greene, R. Picard, and M. Czerwinski
ACII 2021 PDF
Responsible AI to Support Mental Health in Black Communities
AI for Accessibility & workshop organizers and participants
AI4A Workshop 2021 PDF
Guidelines for Human-AI Interaction
S. Amershi, D. Weld, M. Vorvoreanu, A. Fourney, B. Nushi, P. Collisson, J. Suh, S. Iqbal, P. Bennett, K. Inkpen, J. Teevan, R. Kikin-Gil, and E. Horvitz
Conference Talks.
Interviews.
Microsoft Research Conversations in STEM: Medical and Health Technology
February 9, 2021
Emma Pierson, Pashmina Cameron, Jina Suh, Váleri Vásquez
Data Science and ML for Human Well-being with Jina Suh
October 9, 2019
Jina Suh, Gretchen Huizinga