Generation Gap or Diffusion Trap? How Age Affects the Detection of Personalized AI-Generated Images
Lüdemann R, Schulz A, Kuhl U (2025)
In: Computer-Human Interaction Research and Applications. 8th International Conference, CHIRA 2024, Porto, Portugal, November 21–22, 2024, Proceedings, Part II. Plácido da Silva H, Cipresso P (Eds); Communications in Computer and Information Science, 2371. Cham: Springer Nature Switzerland: 359-381.
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Autor*in
Herausgeber*in
Plácido da Silva, Hugo;
Cipresso, Pietro
Einrichtung
Abstract / Bemerkung
AI-generated content, particularly artificially generated image data, presents a fascinating challenge as it blurs the line between reality and fabrication in digital media. This study explores the ability of different age groups to distinguish between real and AI-generated images, using a custom model based on Stable Diffusion to create personalized synthetic images of the same individual. Participants (N = 112) showed an overall accuracy of 87.01%, with younger individuals outperforming older ones in both detection accuracy and confidence. Older participants also took longer to make their decisions, indicating either an age-related decline in processing speed, or a more careful and deliberate analysis of the presented content. These findings highlight the importance of improving digital literacy across age groups and developing robust detection tools to better equip users to navigate an increasingly AI-driven digital landscape. In the interest of reproducible research, the entire code, images, and data is available at: https://github.com/ukuhl/GenGapCHIRA2024.
Erscheinungsjahr
2025
Buchtitel
Computer-Human Interaction Research and Applications. 8th International Conference, CHIRA 2024, Porto, Portugal, November 21–22, 2024, Proceedings, Part II
Serientitel
Communications in Computer and Information Science
Band
2371
Seite(n)
359-381
ISBN
978-3-031-83844-6
eISBN
978-3-031-83845-3
ISSN
1865-0929
eISSN
1865-0937
Page URI
https://pub.uni-bielefeld.de/record/3001286
Zitieren
Lüdemann R, Schulz A, Kuhl U. Generation Gap or Diffusion Trap? How Age Affects the Detection of Personalized AI-Generated Images. In: Plácido da Silva H, Cipresso P, eds. Computer-Human Interaction Research and Applications. 8th International Conference, CHIRA 2024, Porto, Portugal, November 21–22, 2024, Proceedings, Part II. Communications in Computer and Information Science. Vol 2371. Cham: Springer Nature Switzerland; 2025: 359-381.
Lüdemann, R., Schulz, A., & Kuhl, U. (2025). Generation Gap or Diffusion Trap? How Age Affects the Detection of Personalized AI-Generated Images. In H. Plácido da Silva & P. Cipresso (Eds.), Communications in Computer and Information Science: Vol. 2371. Computer-Human Interaction Research and Applications. 8th International Conference, CHIRA 2024, Porto, Portugal, November 21–22, 2024, Proceedings, Part II (pp. 359-381). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-83845-3_22
Lüdemann, René, Schulz, Alexander, and Kuhl, Ulrike. 2025. “Generation Gap or Diffusion Trap? How Age Affects the Detection of Personalized AI-Generated Images”. In Computer-Human Interaction Research and Applications. 8th International Conference, CHIRA 2024, Porto, Portugal, November 21–22, 2024, Proceedings, Part II, ed. Hugo Plácido da Silva and Pietro Cipresso, 2371:359-381. Communications in Computer and Information Science. Cham: Springer Nature Switzerland.
Lüdemann, R., Schulz, A., and Kuhl, U. (2025). “Generation Gap or Diffusion Trap? How Age Affects the Detection of Personalized AI-Generated Images” in Computer-Human Interaction Research and Applications. 8th International Conference, CHIRA 2024, Porto, Portugal, November 21–22, 2024, Proceedings, Part II, Plácido da Silva, H., and Cipresso, P. eds. Communications in Computer and Information Science, vol. 2371, (Cham: Springer Nature Switzerland), 359-381.
Lüdemann, R., Schulz, A., & Kuhl, U., 2025. Generation Gap or Diffusion Trap? How Age Affects the Detection of Personalized AI-Generated Images. In H. Plácido da Silva & P. Cipresso, eds. Computer-Human Interaction Research and Applications. 8th International Conference, CHIRA 2024, Porto, Portugal, November 21–22, 2024, Proceedings, Part II. Communications in Computer and Information Science. no.2371 Cham: Springer Nature Switzerland, pp. 359-381.
R. Lüdemann, A. Schulz, and U. Kuhl, “Generation Gap or Diffusion Trap? How Age Affects the Detection of Personalized AI-Generated Images”, Computer-Human Interaction Research and Applications. 8th International Conference, CHIRA 2024, Porto, Portugal, November 21–22, 2024, Proceedings, Part II, H. Plácido da Silva and P. Cipresso, eds., Communications in Computer and Information Science, vol. 2371, Cham: Springer Nature Switzerland, 2025, pp.359-381.
Lüdemann, R., Schulz, A., Kuhl, U.: Generation Gap or Diffusion Trap? How Age Affects the Detection of Personalized AI-Generated Images. In: Plácido da Silva, H. and Cipresso, P. (eds.) Computer-Human Interaction Research and Applications. 8th International Conference, CHIRA 2024, Porto, Portugal, November 21–22, 2024, Proceedings, Part II. Communications in Computer and Information Science. 2371, p. 359-381. Springer Nature Switzerland, Cham (2025).
Lüdemann, René, Schulz, Alexander, and Kuhl, Ulrike. “Generation Gap or Diffusion Trap? How Age Affects the Detection of Personalized AI-Generated Images”. Computer-Human Interaction Research and Applications. 8th International Conference, CHIRA 2024, Porto, Portugal, November 21–22, 2024, Proceedings, Part II. Ed. Hugo Plácido da Silva and Pietro Cipresso. Cham: Springer Nature Switzerland, 2025.Vol. 2371. Communications in Computer and Information Science. 359-381.
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