most citedAI Chatbots for Mental Health: Values and Harms from Lived Experiences of Depression

2 citations · 5 across the 3 of their papers we have counts for

collaborators

5 papers

cs.HC20262 cited

Designing KRIYA: An AI Companion for Wellbeing Self-Reflection

Shanshan Zhu, Wenxuan Song, Jiayue Melissa Shi +3

Most personal wellbeing apps present summative dashboards of health and physical activity metrics, yet many users struggle to translate this information into meaningful understandi…

cs.HC2025

"In my defense, only three hours on Instagram": Designing Toward Digital Self-Awareness and Wellbeing

Karthik S. Bhat, Jiayue Melissa Shi, Wenxuan Song +2

Screen use pervades daily life, shaping work, leisure, and social connections while raising concerns for digital wellbeing. Yet, reducing screen time alone risks oversimplifying te…

cs.HC2025

Balancing Caregiving and Self-Care: Exploring Mental Health Needs of Alzheimer's and Dementia Caregivers

Jiayue Melissa Shi, Keran Wang, Dong Whi Yoo +2

Alzheimer's Disease and Related Dementias (AD/ADRD) are progressive neurodegenerative conditions that impair memory, thought processes, and functioning. Family caregivers of indivi…

cs.HC20251 cited

Can we Debias Social Stereotypes in AI-Generated Images? Examining Text-to-Image Outputs and User Perceptions

Saharsh Barve, Andy Mao, Jiayue Melissa Shi +2

Recent advances in generative AI have enabled visual content creation through text-to-image (T2I) generation. However, despite their creative potential, T2I models often replicate…

cs.HC20252 cited

AI Chatbots for Mental Health: Values and Harms from Lived Experiences of Depression

Dong Whi Yoo, Jiayue Melissa Shi, Violeta J. Rodriguez +1

Recent advancements in LLMs enable chatbots to interact with individuals on a range of queries, including sensitive mental health contexts. Despite uncertainties about their effect…