24 citations · 56 across the 32 of their papers we have counts for
7 papers · 1 filter
Depression Symptoms and Relational Patterns in 187k ChatGPT Histories
Neil K. R. Sehgal, Dunigan Folk, Lyle Ungar +1
Large language models are increasingly used as private, always-available conversational systems, but little is known about how people with depressive symptoms use them. Building on…
Narrative Sharpens Gender Gaps: Surveying Film Characters with LLM Agents
Vivienne Bihe Chi, Reyhan Jamalova, Lyle Ungar +1
Mainstream film is one of the richest sources of cultural content that AI systems learn from. Yet we have few tools for measuring the gender values it encodes. We present a proof-o…
When Support Escalates Distress: Regulation and Escalation in LLM Responses to Venting and Advice-Seeking
Vivienne Bihe Chi, Adithya V Ganesan, Ryan L Boyd +2
Large language models are increasingly used for mental health support, yet little is known about whether their responses are psychologically safe across different help-seeking styl…
Optimized but Unowned: How AI-Authored Goals Undermine the Motivation They Are Meant to Drive
Vivienne Bihe Chi, Roman Rietsche, Andreas Göldi +2
As AI tools become embedded in productivity and self-improvement contexts, a pressing question emerges: what happens when AI does the goal-setting for us? While large language mode…
Voice-Based Chatbots for English Speaking Practice in Multilingual Low-Resource Indian Schools: A Multi-Stakeholder Study
Sneha Shashidhara, Vivienne Bihe Chi, Abhay P Singh +2
Spoken English proficiency is a powerful driver of economic mobility for low-income Indian youth, yet opportunities for spoken practice remain scarce in schools. We investigate the…
PAL: Designing Conversational Agents as Scalable, Cooperative Patient Simulators for Palliative-Care Training
Neil K. R. Sehgal, Hita Kambhamettu, Allen Chang +3
Effective communication in serious illness and palliative care is essential but often under-taught due to limited access to training resources like standardized patients. We presen…