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"Words are not enough": Examining Emotional Support by Conversational AI for Caregivers

  • Melika Vafafar
  • , Sian Joel-Edgar
  • , Casper Harteveld
  • , Hossein Dabbagh
  • , Andrew K Martin
  • , Chee Siang Ang
  • Northeastern University London
  • Northeastern University
  • University of Kent

Research output: Contribution to journal › Article › peer-review

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Abstract

Caregivers often experience emotional difficulties and social isolation due to their demanding caregiving duties. Conversational AI has the potential to provide emotional support, yet it lacks effective emotional-regulation support. In this study, we conducted focus groups and semi-structured interviews with mental health professionals and caregivers (n = 17) to explore the potential benefits, challenges, and concerns of users on the applications of conversational AI for caregivers' emotional support. Our findings suggest that, while current text-based conversational AI is deemed valuable for emotional support, there is a desire to have a more empathic AI, an AI that actively listens, takes cultural, religious, and linguistic context into consideration; and makes humans feel heard. We examined the dimensions of empathic AI in mental health, from authenticity and trust to over-reliance, misuse, and even exacerbating mental health problems, and how this can potentially be addressed to improve caregivers' well-being.

Original languageEnglish
Pages (from-to)1-20
Number of pages20
JournalProceedings of the 2026 CHI Conference on Human Factors in Computing Systems
DOIs
Publication statusPublished - 13 Apr 2026

Keywords

  • Caregiver
  • Chatbots
  • Conversational AI
  • Emotional Support

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