ArticleFrontiers in public health2024
Understanding older adults' acceptance of Chatbots in healthcare delivery: an extended UTAUT model.
Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Technophobia and computer anxiety in older adults: a systematic review of the influencing factors.BMC public health · 2026Pooled it
- Experiences and Acceptance of Community-Based Mobile Health Services Among People in Underserved Rural Areas of Korea: Mixed Methods Study.JMIR formative research · 2026Article
- Unlocking AI Chatbot Potential in Healthcare: Trust-Enhanced DeLone & McLean IS Success Model.Healthcare (Basel, Switzerland) · 2026Article
- Factors Associated with AI Use in a Norwegian Sample.Behavioral sciences (Basel, Switzerland) · 2026Article
- Acceptance of Medical History-Taking Supported by Artificial Intelligence and Chatbots: A Population-Based Survey in Germany.Healthcare (Basel, Switzerland) · 2026Article
- Barriers to Digital Health Adoption in Older Adults: Scoping Review Informed by Innovation Resistance Theory.Journal of medical Internet research · 2026Review
- Bridging perception and reality: understanding Chinese women's behavioral intentions toward robot-assisted gynecologic surgery.Frontiers in public health · 2026Article
- Human-Centred Perspectives on Artificial Intelligence in the Care of Older Adults: A Q Methodology Study of Caregivers' Perceptions.Behavioral sciences (Basel, Switzerland) · 2025Article
- The evolution of barriers and facilitators to using a COPD app among older adults: results from a pilot study.Frontiers in digital health · 2025Article
- Factors influencing older adults' adoption of AI voice assistants: extending the UTAUT model.Frontiers in psychology · 2025Article
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Authors and funding
2 authors.
Funding
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Abstract
Background: Chatbots are increasingly integrated into the lives of older adults to assist with health and wellness tasks. This study aimed to understand the factors that enhance older adults' acceptance of chatbots in healthcare delivery. Methods: This study proposed an extended Unified Theory of Acceptance and Use of Technology model (UTAUT), including aging factors of perceived physical condition, self-actualization needs, and technology anxiety. The model was tested by PLS (Partial Least Squares) with data collected from 428 Chinese citizens aged 60 and above. Results: The results reveal that performance expectancy, effort expectancy, and social influence significantly affected older adults' behavioral intention to use chatbots. The facilitating conditions, self-actualization needs, and perceived physical condition significantly affected the actual use behavior of chatbots by older adults, whereas technology anxiety did not. Furthermore, the influence of effort expectancy and social influence on behavioral intention were moderated by experience. Conclusion: The behavioral intentions of older adults with low experience are more strongly influenced by social influences and effort expectancy. Furthermore, healthcare providers, designers, and policymakers should emphasize the impact of facilitating conditions, self-actualization needs, and perceived physical conditions on chatbot applications among older adults.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.