11 citations · 29 across the 32 of their papers we have counts for
10 papers · 1 filter
AI-Assisted Submissions in Online Research Are Rare and Highly Concentrated but Routinely Approved
Neil K. R. Sehgal, Manuel Tonneau, Dunigan Folk +2
Online research platforms underpin much of what science claims about people, on the assumption that a human produced each response. Generative AI threatens that assumption by letti…
"We Are Tired of Explaining": Communication Practice and AI Roleplay Training for Community Health Workers in Rural India
Neil K. R. Sehgal, Sunny Rai, Sai Preethi Matam +4
Community health workers (CHWs) in the Global South increasingly encounter AI-powered tools, yet the counseling work central to their role remains largely unsupported. We study com…
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…
What Users Cannot See: Evaluating LLM Emotional Support Beyond User Preference
Vivienne Bihe Chi, Adithya V Ganesan, Ryan L Boyd +2
People increasingly turn to LLMs for emotional support, yet common evaluations reward responses that feel helpful and may miss consequential response behaviors. We introduce a theo…
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? In a preregistered experi…
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…
Designing Mental-Health Chatbots for Indian Adolescents: Mixed-Methods Evidence, a Boundary-Object Lens, and a Design-Tensions Framework
Neil K. R. Sehgal, Hita Kambhamettu, Sai Preethi Matam +2
Mental health challenges among Indian adolescents are shaped by unique cultural and systemic barriers, including high social stigma and limited professional support. We report a mi…
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…
A Weakly-Supervised Iterative Graph-Based Approach to Retrieve COVID-19 Misinformation Topics
Harry Wang, Sharath Chandra Guntuku
The COVID-19 pandemic has been accompanied by an `infodemic' -- of accurate and inaccurate health information across social media. Detecting misinformation amidst dynamically chang…