
Jina Huh-Yoo
Associate Professor
Charles V. Schaefer, Jr. School of Engineering and Science
Department of Computer Science
Education
- Other (2013) University of Washington (Postdoctoral Fellow in Health Informatics)
- PhD (2011) University of Michigan (Information, Specialization in Human-Computer Interaction)
- MS (2004) Carnegie Mellon University (Human-Computer Interaction)
- BA (2003) Korea National University of Arts (Multimedia Design)
Research
human-computer interaction, health informatics, social computing, human-centered AI
Institutional Service
- AI Major and Minor Task Force, The Charles V. Schaefer, Jr. School of Engineering and Science, Stevens Institute of Technology Member
- Communication and Marketing Committee Member
- Dean’s College Faculty Council Member
- Tenure-Track Faculty Search Committee Member
Professional Service
- ACM Computer-Supported Collaborative Work Senior Program Committee
- ACM Computer-Supported Collaborative Work Editor
- ACM Human Factors in Computing Special-Interest-Group (SIG) Co-Chair
- Springer Journal of Computer-Supported Collaborative Work Editor
- ACM Computer-Supported Collaborative Work Workshops Co-Chair
- ACM Human Factors in Computing Systems Area Chair
- National Science Foundation Panelist
Grants, Contracts and Funds
“A Synthetic Data Approach to Catalyzing Innovation in Dementia Caregiver Support” Principal Investigator: Karla Washington. National Institute of Aging Pilot Grant by Penn Artificial Intelligence and Technology (PennAITech) Collaboratory for Healthy Aging.
CAREER: DURAIS : A Platform for Co-Designing and Understanding the Roles of Conversational Artificial Intelligence Systems on Caregiving2022-04-01 to 2027-03-31 | GrantDirectorate for Computer & Information Science & Engineering (Alexandria, US)
GRANT_NUMBER: 2144880
New Frameworks for Ethical Research Amidst Emerging Digital Technologies, Algorithms, and Privacy Norms2021-09-01 to 2023-08-31 | GrantDirectorate for Social, Behavioral & Economic Sciences (Alexandria, US)
GRANT_NUMBER: 2124894
SCH: INT: Collaborative Research: Unobtrusive Sensing and Motivational Feedback for Family Wellness2016-09-01 to 2018-09-30 | GrantDirectorate for Computer & Information Science & Engineering (Alexandria, US)
GRANT_NUMBER: 1622626
InfoMediator: Weaving Clinical Expertise in Online Health Communities2014-09-28 to 2018-04-02 | GrantUnited States National Library of Medicine (Bethesda, US)
GRANT_NUMBER: K01LM011980
CAREER: DURAIS : A Platform for Co-Designing and Understanding the Roles of Conversational Artificial Intelligence Systems on Caregiving2022-04-01 to 2027-03-31 | GrantDirectorate for Computer & Information Science & Engineering (Alexandria, US)
GRANT_NUMBER: 2144880
New Frameworks for Ethical Research Amidst Emerging Digital Technologies, Algorithms, and Privacy Norms2021-09-01 to 2023-08-31 | GrantDirectorate for Social, Behavioral & Economic Sciences (Alexandria, US)
GRANT_NUMBER: 2124894
SCH: INT: Collaborative Research: Unobtrusive Sensing and Motivational Feedback for Family Wellness2016-09-01 to 2018-09-30 | GrantDirectorate for Computer & Information Science & Engineering (Alexandria, US)
GRANT_NUMBER: 1622626
InfoMediator: Weaving Clinical Expertise in Online Health Communities2014-09-28 to 2018-04-02 | GrantUnited States National Library of Medicine (Bethesda, US)
GRANT_NUMBER: K01LM011980
Selected Publications
Conference Proceeding
- Huh-Yoo, J. (2025). Characterizing the Flaws of Image-Based AI-Generated Content. Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA '25) (vol. Article 133, pp. 1–7). New York, NY: Association for Computing Machinery.
- Huh-Yoo, J. (2025). Artificial Intelligence Systems for Supporting Informal Caregivers of People Living with Alzheimer's Disease or Related Dementias: A Systematic Review. Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (pp. 1-11).
- Huh-Yoo, J. (2025). Mobile Technology and Teens: Understanding the Changing Needs of Sociocultural and Technical Landscape. Proceedings of the 2025 CHI Conference Extended Abstracts on Human Factors in Computing Systems 2025 (pp. 1-7). Association of Computing Machinery.
- Huh-Yoo, J. (2024). Social Connectedness as a Focus for Designing Technologies in Support of Mental Health. Proceedings of 22nd European Conference on Computer-Supported Cooperative Work. European Society for Socially Embedded Technologies (EISSN: 2510-2591 ed.). Rimini, Italy: EUSSET.
- Huh-Yoo, J. (2024). A case for "little English" in Nurse Notes from the Telehealth Intervention Program for Seniors: Implications for Future Design and Research. Proceedings of the CHI Conference on Human Factors in Computing Systems (pp. 1-16). Association of Computing Machinary.
- Huh-Yoo, J. (2024). he Role of AI in Peer Support for Young People: A Study of Preferences for Human-and AI-Generated Responses. Proceedings of the CHI Conference on Human Factors in Computing Systems (pp. 1-18). Association of Computing Machinary.
- Huh-Yoo, J. (2024). Emotion Work in Caregiving: The Role of Technology to Support Informal Caregivers of Persons Living With Dementia. Proceedings of the ACM on human-computer interaction (CSCW1 ed., vol. 8, pp. 1-34). Association of Computing Machinary.
- Huh-Yoo, J. (2024). Emotion Work in Caregiving: The Role of Technology to Support Informal Caregivers of Persons Living With Dementia. Proceedings of the ACM on Human-Computer Interaction (vol. 8, pp. (CSCW1):1-34.). Association of Computing Machinary.
- Huh-Yoo, J. (2024). Experiences and Perceptions of Distinct Telehealth Delivery Models for Remote Patient Monitoring among Older Adults in the Community. AMIA Annu Symp Proc (vol. 2023, pp. 794-803). American Medical Informatics Association.
Journal Article
- Huh-Yoo, J. (2024). Ethical Challenges in the Use of Digital Technologies in Psychological Science: Introduction to the Special Issue. American Psychologist (1 ed., vol. 79, pp. 1). American Psychological Association.
Courses
- Qualitative Research Methods for Understanding Users
- Designing with Data
- Designing with Data