Cited by 27Digital Mental Health InterventionsTechnology Use by Older AdultsSocial Robot Interaction and HRI

Tech vs. Tradition: ChatGPT and Mindfulness in Enhancing Older Adults’ Emotional Health

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Wang, Ying, Li, Shiyu·2024·Behavioral Sciences

Abstract

To improve older adults’ mental health, this study compared the effects of AI chatbots, such as ChatGPT 3.0, with traditional mindfulness therapies on loneliness and depression in older adults. Despite interest in AI as a complementary tool, empirical evidence on its impact remains limited. For an eight-week intervention, older adult participants from two nursing homes in Hangzhou were assigned to groups focused on mindfulness (group sessions) and chatting (one-on-one ChatGPT). Following the intervention, participants engaged in a researcher-led focus group discussion. After 8 weeks, tension had decreased significantly (p < 0.05) in the Mindfulness group of older adults, and there was no significant difference between the effects of ChatGPT and mindfulness on the emotional intervention of older adults. Findings indicated three themes, including (1) personal experience, reflecting older adults’ use of AI technology and mindfulness; (2) attitudes and perspectives on the experiment’s desirability and insufficiencies; and (3) needs and expectations for future AI and mindfulness developments, including usability and functional preferences. Similar to mindfulness practice, ChatGPT interactions helped older adults feel less depressed and might eventually reduce costs by replacing mindfulness. In the future, AI can be integrated with conventional techniques to improve interaction by giving AI a more human-like appearance.

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Research works printed but not linked: 6

  1. [4]Liu M. Influencing Factors and Policy Suggestions of Mental Health of Chinese Elderly-Based on 2015 China Health and Retirement Longitudinal Study Doctoral Dissertation Zhejiang University Hangzhou, China 2018
  2. [12]Peplau L.A. Perlman D. Perspectives on Loneliness John Wiley & Sons Hoboken, NJ, USA 1982
  3. [24]Sun X. Yu C. Li L. Prevalence and influencing factor of depression among empty-nest Elderly:a systematic review Chin. J. Public Health 2018 34 4
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  6. [48]Yin B. Liu S. Wang H. Hu Q. Liu L. Hu D. Review on ChatGPT in Chronic Disease Nursing Care Mil. Nurs. 2024 41 3 85

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Authors
Wang, Y., & Li, S.
Affiliations
Zhejiang Sci-Tech University (CN)
Corresponding author
Wang, Ying
Venue
Behavioral Sciences
Publisher
MDPI AG
Published
2024-10-10
Volume
14
Issue
10
Pages
923
ISSN
2076-328X (ISSN-L)
OpenAlex
W4403302594
Cited by
27
References
37
Citations by year
2026: 12 · 2025: 14 · 2024: 1
FWCI
10.71
Type
journal article
Language
en
Open access
Locations
  • Behavioral Sciences (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
  • Fundamental Research Funds of Zhejiang Sci-Tech University (24086111-Y, 2014E1004)
  • Zhejiang Provincial Key Lab for Healthy and Smart Kitchen System (24086111-Y, 2014E1004)
Topics
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Social Sciences › Demography › Technology Use by Older Adults
  • Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
Keywords
ChatGPT, AI chatbots, mindfulness therapy, older adults, loneliness, depression, emotional well-being, nursing home residents, technology acceptance, human-AI interaction, mental health interventions

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