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Biomarkers.

Xinzhu Cao1, Sharon Abrahams2, Daniel J Blackburn3

  • 1University of Edinburgh, Edinburgh, United Kingdom.

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|December 25, 2025
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Summary
This summary is machine-generated.

Older and younger adults show similar general attitudes toward artificial intelligence (AI) and the CognoSpeak tool. However, qualitative findings reveal age-related preferences in AI interaction, with older adults preferring human doctors and younger adults favoring AI convenience.

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Area of Science:

  • Gerontology
  • Human-Computer Interaction
  • Artificial Intelligence in Healthcare

Background:

  • Investigating age-related differences in attitudes toward artificial intelligence (AI).
  • Examining perceptions of a specific AI tool, CognoSpeak, for cognitive assessment.
  • Employing a mixed-methods approach to capture diverse perspectives.

Purpose of the Study:

  • To compare attitudes towards AI and CognoSpeak between younger (18-54) and older (55+) adults.
  • To explore qualitative differences in user experience and AI acceptance across age groups.
  • To identify factors influencing the adoption of AI-based healthcare tools.

Main Methods:

  • Online surveys administered to 95 participants.
  • Semi-structured interviews conducted with 20 participants.
  • Statistical analysis of quantitative data and thematic analysis of qualitative data.

Main Results:

  • No significant quantitative differences in general AI attitudes or CognoSpeak attitudes between age groups.
  • A positive correlation found between general AI attitudes and CognoSpeak attitudes (r=0.47, p<0.001).
  • Qualitative data revealed older adults' preference for human interaction due to empathy concerns, while younger adults valued AI convenience and reduced judgment.

Conclusions:

  • Attitudes toward AI in healthcare are nuanced and vary by age, influenced by user experience.
  • Addressing specific concerns, such as empathy and non-verbal cues, is crucial for AI tool acceptance.
  • Future research should explore strategies for effective AI integration in healthcare services.