Biomarkers

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.