AI Tools for Emotional Support: An Initial Survey of Age-Related Differences in Perceptions and Use

This study examined age-related differences in the use of artificial intelligence (AI) for emotional support using survey data from 3,597 respondents recruited through Mental Health America. Chi-square analyses showed that adoption and frequency of AI-based emotional support varied significantly by age, with adolescents under 18 reporting the highest use and adults aged 25 and older reporting lower-than-expected use. Common motivations among users included convenience, 24/7 availability, comfort talking to a bot, free access, and the ability to seek help without informing family members. Non-users most often cited a preference for human support, distrust of AI advice, and privacy concerns. Findings suggest that AI’s non-human nature can both reduce stigma and increase concerns about trust and authenticity. Human-centered systems should therefore provide age-appropriate safety guardrails, transparent limitations, privacy protections, and clear pathways to human support.

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Publication Details

Journal
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Published
2026-09-04
DOI
https://doi.org/10.1177/10711813261485997
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
0.00
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article

AI Tools for Emotional Support: An Initial Survey of Age-Related Differences in Perceptions and Use

Yuehwern Yih, Theresa Nguyen, John Marion, Brandon J. Pitts et al.
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Digital Mental Health Interventions
article

AI Tools for Emotional Support: An Initial Survey of Age-Related Differences in Perceptions and Use

Yuehwern Yih, Theresa Nguyen, John Marion, Brandon J. Pitts, Jingjie Wang
article en

Abstract

This study examined age-related differences in the use of artificial intelligence (AI) for emotional support using survey data from 3,597 respondents recruited through Mental Health America. Chi-square analyses showed that adoption and frequency of AI-based emotional support varied significantly by age, with adolescents under 18 reporting the highest use and adults aged 25 and older reporting lower-than-expected use. Common motivations among users included convenience, 24/7 availability, comfort talking to a bot, free access, and the ability to seek help without informing family members. Non-users most often cited a preference for human support, distrust of AI advice, and privacy concerns. Findings suggest that AI’s non-human nature can both reduce stigma and increase concerns about trust and authenticity. Human-centered systems should therefore provide age-appropriate safety guardrails, transparent limitations, privacy protections, and clear pathways to human support.

Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Purdue University West Lafayette (US), Mental Health America (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 8%
Digital Mental Health Interventions
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