7 citations · 33 across the 36 of their papers we have counts for
43 papers
Risk and Refusal: Mechanisms of LLM Responses to Suicidal Ideation
Drishti Goel, Soorya Ram Shimgekar, Jeongah Lee +4
Refusal is a common safety mechanism in large language models (LLMs), yet in contexts of suicidal ideation (SI), refusing to engage can itself constitute a safety failure. We evalu…
Secondhand Stress: How Stressful Disclosures Affect Psychosocial Wellbeing in Online Graduate Admissions Communities
Veda Duddu, Agam Goyal, Sabelle Huang +3
Online communities provide spaces for individuals navigating stressful life transitions to disclose difficulties and seek peer support. Yet encountering others' distress may also h…
Beyond Counting Blessings: Tracing the Evolution of Gratitude Practices and Technology Needs
Joy Qiuyue Zhong, Jeongah Lee, Drishti Goel +4
Gratitude technologies support well-being by prompting reflection on what people appreciate. But gratitude does not serve the same purpose in every circumstance: as life situations…
Can LLMs identify and repair ruptures? Comparison between clinician practices and LLM behaviors
Jeongah Lee, Joy Qiuyue Zhong, Drishti Goel +4
Ruptures represent common albeit critical moments in interaction where relational alignment breaks down, making them essential for evaluating AI where trust and engagement matter m…
Stereotypically Yours: Portrayal and Perception of Race-Coded AI Companions
Wang Claire, Jiayue Melissa Shi, Agam Goyal +4
AI companions can purportedly adopt racial personas, raising questions about how they represent identity and how users interpret these portrayals. We combined an algorithmic audit…
CareMirror: Bringing Caregiver Wellbeing into the Dementia Care Ecosystem
Jiayue Melissa Shi, Ethan Nguyen, Drishti Goel +7
Family caregivers of people living with dementia shoulder emotional and practical responsibilities, yet their own wellbeing often remains peripheral to dementia care. We built Care…
Disrupted Companionship: A Risk Assessment Framework and Cross-Platform Quantitative Analysis of Psychosocial Responses to AI Companion Disruptions
Chau Do, Yunhao Yuan, Koustuv Saha +2
AI companions can provide meaningful relationships, yet these relationships remain vulnerable to platform-initiated changes. We study AI companion disruptions: platform changes tha…
Personalizing Personal Health Interfaces: Co-Design with Generative AI
Karthik S. Bhat, Vidhi Shah, Vedika Agnihotri +2
Personal health interfaces present wellbeing data through standardized dashboards that rarely fit how people interpret or act on it. Personalizing them to what people would like to…
PeerPen: AI-Assisted Writing for Online Mental Health Peer Support
Jiwon Kim, Sherry Gong, Maya Ajit +5
Online mental health communities thrive on peer support, yet those who volunteer to help often lack formal training and may struggle to articulate supportive responses. AI co-writi…
From Analytics to Tumor Boards: An Evidence-Linked Multi-Agent Workflow for Oncology Feature Extraction
Daniel Kang, Michelle Hu, Soorya Ram Shimgekar +12
Clinically relevant oncology information is distributed across heterogeneous, longitudinal documentation, creating substantial abstraction burden and requiring accurate attribution…
Tracing the Heart: An Evidence-Linked Pipeline for Heart-Failure Feature Engineering
Soorya Ram Shimgekar, Michelle Hu, Dorisa Shehi +10
Electronic health record (EHR) feature engineering is a major bottleneck in clinical research and AI, accounting for 39-45% of data scientists' workload. This is especially pronoun…
Trust but Verify:Evidence-Linked Multi-Agent Clinical Information Extraction in Pathology
Yufan Wang, Anit Kumar Sahu, Yan Fei Ng +8
Clinical feature extraction from pathology reports is challenging because relevant evidence may be distributed across coded and narrative fields and depend on specimen attribution,…
When AI Says "I have been in similar situations": Synthetic Lived Experience in Peer-Like Caregiver Support
Drishti Goel, Agam Goyal, Veda Duddu +6
Caregivers often turn to online communities for informational and emotional support. In these spaces, peer supporters frequently draw on personal narratives to respond to emotional…
Inform, Coach, Relate, Listen: Auditing LLM Caregiving Support Roles
Drishti Goel, Agam Goyal, Veda Duddu +8
Language models are increasingly being deployed for conversational support in informal caregiving contexts, where interactions often extend beyond information-seeking: caregivers s…
AI-Mediated Negotiation: Design Reflections and Lessons
Veda Duddu, Jash Rajesh Parekh, Andy Mao +4
Conversational AI promises a new kind of preparation for high-stakes workplace negotiations -- personalized, interactive, and capable of simulating realistic resistance. That promi…
Beyond Categories of Caste: Examining Caste Bias and Morality in Text-to-Image AI Models
Divyanshu Kumar Singh, Dipto Das, Deepika Rama Subramanian +3
Text-to-Image (T2I) models have shown promising utility across various domains. However, such models are also amplifying harmful societal biases in their outputs. In the context of…
Prompt PerturbAItions: Mechanisms of LLM Response Inconsistencies
Soorya Ram Shimgekar, Agam Goyal, Amruta Parulekar +6
Large language models (LLMs) are increasingly deployed in conversational settings where user phrasing ranges from polite to casual to toxic, yet less is known about whether such le…
Journeys of Parents with LGBTQ+ Children: How Trauma and Healing Reshape Identity and (Mis)Informating Practices
Soonho Kwon, Dong Whi Yoo, Koustuv Saha +2
This study examines how parents of LGBTQ+ individuals in South Korea navigate the emotional rupture fueled by fear, isolation, and disorientation after learning their children's qu…
Algorithmic Cultivation: How Social Media Feeds Shape User Language
Olivia Pal, Agam Goyal, Eshwar Chandrasekharan +1
Algorithmic feeds have become primary environments for encountering information online, yet while they shape what people see, less is known about how sustained feed exposure shapes…
TUX: Measuring Human--AI Tacit Understanding
Yueshen Li, Hanyi Min, Vedant Das Swain +1
As large language models (LLMs) increasingly act as collaborative partners, human--AI alignment is often evaluated through explicit task success, accuracy, or reward optimization.…
LLUMI: Improving LLM Writing Assistance for Mental Health Support with Online Community Feedback
Jiwon Kim, Maya Ajit, Sherry Gong +4
Large language models (LLMs) show promise in generating supportive responses for mental health queries, but improving their usefulness, empathy, and safety often requires substanti…
Not My Truce: Personality Differences in AI-Mediated Workplace Negotiation
Veda Duddu, Jash Rajesh Parekh, Andy Mao +4
AI-driven conversational coaching is increasingly used to support workplace negotiation, yet prior work assumes uniform effectiveness across users. We challenge this assumption by…
Sima AIunty: Caste Audit in LLM-Driven Matchmaking
Atharva Naik, Shounok Kar, Varnika Sharma +2
Social and personal decisions in relational domains such as matchmaking are deeply entwined with cultural norms and historical hierarchies, and can potentially be shaped by algorit…
AI Psychosis: Does Conversational AI Amplify Delusion-Related Language?
Soorya Ram Shimgekar, Vipin Gunda, Jiwon Kim +3
Conversational AI systems are increasingly used for personal reflection and emotional disclosure, raising concerns about their effects on vulnerable users. Recent anecdotal reports…