most citedMapping Caregiver Needs to AI Chatbot Design: Strengths and Gaps in Mental Health Support for Alzheimer's and Dementia Caregivers

6 citations · 14 across the 14 of their papers we have counts for

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cs.HC2026

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…

cs.HC2026

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…

cs.HC2026

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…

cs.HC2026

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…

cs.HC2026

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…

cs.HC2026

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…

cs.HC2026

A Taxonomy of Mental Health and Technology Needs for Alzheimer's and Dementia Caregivers

Keran Wang, Drishti Goel, Jiayue Melissa Shi +5

Family members caring for individuals with Alzheimer's disease and related dementias (AD/ADRD) provide the foundation of long-term care worldwide. In 2023, more than 11 million U.S…

cs.HC2026

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…

cs.HC2026

RubRIX: Rubric-Driven Risk Mitigation in Caregiver-AI Interactions

Drishti Goel, Jeongah Lee, Qiuyue Joy Zhong +5

Caregivers seeking AI-mediated support express complex needs---information-seeking, emotional validation, and distress cues---that warrant careful evaluation of response safety and…

cs.HC2026

PAIR-SAFE: A Paired-Agent Approach for Runtime Auditing and Refining AI-Mediated Mental Health Support

Jiwon Kim, Violeta J. Rodriguez, Dong Whi Yoo +2

LLMs are increasingly used for mental health support, yet they can produce responses that are overly directive, inconsistent, or clinically misaligned. Most risk mitigation approac…

cs.HC2025★ 2 cited

Designing Beyond Language: Sociotechnical Barriers in AI Health Technologies for Limited English Proficiency

Michelle Huang, Violeta J. Rodriguez, Koustuv Saha +1

Limited English proficiency (LEP) patients in the U.S. face systemic barriers to healthcare beyond language and interpreter access, encompassing procedural and institutional constr…

cs.HC2025★ 6 cited

Mapping Caregiver Needs to AI Chatbot Design: Strengths and Gaps in Mental Health Support for Alzheimer's and Dementia Caregivers

Jiayue Melissa Shi, Dong Whi Yoo, Keran Wang +3

Family caregivers of individuals with Alzheimer's Disease and Related Dementia (AD/ADRD) face significant emotional and logistical challenges that place them at heightened risk for…

cs.HC2025★ 2 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…

cs.HC2025★ 1 cited

Interpersonal Theory of Suicide as a Lens to Examine Suicidal Ideation in Online Spaces

Soorya Ram Shimgekar, Violeta J. Rodriguez, Paul A. Bloom +2

Suicide is a critical global public health issue, with millions experiencing suicidal ideation (SI) each year. Online spaces enable individuals to express SI and seek peer support.…

cs.HC2025★ 3 cited

Linguistic Comparison of AI- and Human-Written Responses to Online Mental Health Queries

Koustuv Saha, Yoshee Jain, Violeta J. Rodriguez +1

The ubiquity and widespread use of digital and online technologies have transformed mental health support, with online mental health communities (OMHCs) providing safe spaces for p…