AI-Based Conversational Agents for Mental Health in Older Adults
Author Information
Author(s): Chen Xiayu, Wen Wan
Primary Institution: University of Illinois Urbana-Champaign
Hypothesis
AI-based conversational agents can enhance mental health care for older adults.
Conclusion
AI-based conversational agents show promise in improving the mental well-being of older adults, but there are challenges that need to be addressed.
Supporting Evidence
- AI-based conversational agents can provide psychoeducation and symptom assessment.
- There is a need for tailored features to accommodate older adults' user experience.
- The review identified nine peer-reviewed articles relevant to the topic.
- Preliminary findings indicate positive user satisfaction with AI-based conversational agents.
- Challenges include the need for increased technological literacy among older adults.
Takeaway
This study looks at how robots that can talk to people might help older adults feel better mentally, but they need to be designed just for them.
Methodology
A systematic literature search was conducted across thirteen databases to identify relevant peer-reviewed articles.
Limitations
The review highlights a lack of research specifically addressing the needs of older adults in the design of AI-based conversational agents.
Participant Demographics
Older adults.
Digital Object Identifier (DOI)
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