DETECTION OF AI-GENERATED IMAGES: A MIXED METHODS STUDY ON AGE-RELATED DIFFERENCES
2024

Detecting AI-Generated Images: Age Differences

Sample size: 190 publication Evidence: moderate

Author Information

Author(s): Velazquez Enilda, Flores-Cruz Gabriela, Roque Nelson

Primary Institution: University of Central Florida

Hypothesis

Older adults may be more vulnerable to identifying AI-generated images compared to younger adults.

Conclusion

Older adults showed a higher rate of false alarms when identifying AI-generated images than younger adults.

Supporting Evidence

  • Older adults exhibited significantly higher false alarms than younger adults.
  • The study controlled for analytical thinking using the Cognitive Reflection Test.
  • No differences were found in the rate of hits, misses, or correct rejections across age groups.

Takeaway

This study found that older people are more likely to mistakenly think AI-generated images are real compared to younger people.

Methodology

The study used a mixed methods approach with signal detection analyses and response time measures.

Limitations

The study did not find differences in hits, misses, or correct rejections across age groups.

Participant Demographics

Participants included young adults (18-39), middle adults (40-59), and older adults (60-89).

Statistical Information

P-Value

0.007

Statistical Significance

p = 0.007

Digital Object Identifier (DOI)

10.1093/geroni/igae098.4158

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication