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Preparing for aging: Understanding middle-aged user acceptance of AI chatbots through the technology acceptance model
Aoqi Wang1, You Zhou1, Haoming Ma1
1School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Digital Health
|October 9, 2024
Summary
Middle-aged adults show moderate acceptance of AI chatbots, influenced by ease of use and social norms. Perceived usefulness is key to adoption, highlighting the need for tailored technology for aging populations.
Area of Science:
- Gerontology and Human-Computer Interaction
- Digital Health and AI Applications
- Sociology of Technology
Background:
- The growing elderly population necessitates personalized technology for aging.
- Artificial Intelligence (AI) chatbots offer human-like conversational capabilities in healthcare.
- Limited research exists on middle-aged adults' acceptance of AI chatbots.
Purpose of the Study:
- To explore middle-aged adults' acceptance of AI chatbots and influencing factors.
- To validate the Technology Acceptance Model 2 (TAM2) for AI technology in this demographic.
- To inform the design of intelligent systems for aging well.
Main Methods:
- Cross-sectional online questionnaire survey using snowball sampling.
- Questionnaire based on TAM2, administered via an online platform.
- Statistical analysis using SPSS 26.0 with 259 valid responses.
Main Results:
- Perceived ease of use, subjective norm, and user image significantly impact intention to use AI chatbots.
- Perceived usefulness fully mediates the relationship between subjective norm and intention to use.
- A moderate acceptance level was observed, indicating a need for targeted interventions.
Conclusions:
- Customizing AI technology is crucial for adoption by middle-aged adults.
- Findings guide developers and policymakers in designing user-friendly AI.
- Technological competency is vital for aging preparation, requiring enhanced AI literacy.
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