Frank, Jona (2024) Who can tell if it’s AI? Investigating the effects of training on AI-generated art recognition. Bachelor thesis, Psychology.
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Abstract
This study aimed to investigate whether people can distinguish between Artificial Intelligence (AI) generated artworks and human-made artworks, whether training using an inductive learning paradigm would improve their ability to classify the images, and how liking affected these dynamics. To that end, we set up an experiment with a control condition and a condition in which the participants received training. We analyzed the resulting data from a sample of N = 82 participants. The results showed that without the training the participants' accuracy was around chance level, however, participants in the training conditions were significantly better than chance. We also found significant influences on how much participants liked different images, especially when divided into the subgroups portraits, landscape painting, and abstract art. Participants struggled the least with identifying portraits and the most with classifying abstract artworks. The results indicate a new view of a dual process model that governs classification and liking, where at least classification seems to be a cross-product of the affectual System 1 and the cognitive System 2 together.
| Item Type: | Thesis (Bachelor) |
|---|---|
| Supervisor name: | Gutzkow, B. |
| Degree programme: | Psychology |
| Differentiation route: | None [Bachelor Psychology] |
| Date Deposited: | 10 Jul 2024 07:31 |
| Last Modified: | 10 Jul 2024 07:31 |
| URI: | http://gmwpublic.studenttheses.ub.rug.nl/id/eprint/3776 |
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