The interactional design of digital mental health systems can shape what people say, how they say it, and whose distress becomes legible to automated models. We developed a multimodal survey chatbot, M2SurveyBot with clinical psychologists, to examine whether interaction modality that is, typing versus speech, affects...
Sunny Rai, N. K. R. Sehgal, K. Nguyen et al.· Proceedings of the 2026 Comp...· 0 citations
The results do not support the view that AI assistance currently poses an existential threat to online research, but reveal limited payment consequences for prohibited use and gaps in platform safeguards, leaving platforms poorly prepared should that threat materialize.
N. K. R. Sehgal, Manuel Tonneau, D. Folk et al.· 0 citations
Drawing across observed calls, interviews, and probe reactions, design considerations for AI roleplay training are derived: keep AI in a rehearsal role, provide descriptive rather than prescriptive feedback, and evaluate counseling process rather than agreement with prescribed responses.
N. K. R. Sehgal, Sunny Rai, Sai Preethi Matam et al.· 0 citations
Large language models (LLMs) are increasingly used to generate media, but whether their content perpetuates gender stereotypes is unknown: standard benchmarks rely on selection-based formats rather than long-form generation, and surveyed baselines for local gender associations are scarce outside the West. We collect ge...
Sharif Kazemi, Tanya Popli, N. K. R. Sehgal et al.· 0 citations
Loneliness is a critical public health issue among older adults, linked to higher risks of depression, cognitive decline, and mortality. Scalable, objective methods for its detection remain limited, particularly in natural conversational contexts. We analyzed speech and language markers of loneliness in 310 older adult...
Vinmay Khandode, S. Kosuri, N. K. R. Sehgal et al.· 0 citations
This work uses simulated negotiations between paired agents under strict deadlines to study adaptation to real-time pressure, finding real-time temporal adaptation is fragile, model-dependent, and sensitive to how temporal constraints are presented.
Neil K. R. Sehgal, S. Guntuku, Lyle Ungar· 4 citations
ChatGPT histories should not be treated as clinical screening data but as evidence LLMs are increasingly used as informal support infrastructure, which is private, persistent, responsive, and available outside ordinary hours.
N. K. R. Sehgal, D. Folk, Lyle Ungar et al.· Proceedings of the 2026 Comp...· 0 citations
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