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Exploring the Impact of Inductive Learning on Recognition of AI-Generated Artworks

Warbroek, Axel (2024) Exploring the Impact of Inductive Learning on Recognition of AI-Generated Artworks. Bachelor thesis, Psychology.

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Abstract

The present study experimentally investigated the effect of inductive learning on people’s ability to differentiate between AI-generated art and art painted by humans, whether the effects of inductive learning differs for different art styles, and whether prior art knowledge moderates the effect of inductive learning. Participants (N = 82) were randomly assigned to an experimental group that received training exposing them to AI and non-AI generated art with interleaved presentation or to a control group that received no training. Participants also completed a questionnaire assessing their prior knowledge and interest in art. Overall, participants that received training were significantly better (p = .004) at correctly classifying the AI and non-AI art. Significant effects of inductive learning were found for art in the styles landscape (p = .028) and portrait (p = .009), but not for abstract (p = .180). Additionally, no moderation effect was found for prior art knowledge and interest (p = .409). The found effect of inductive learning on AI art recognition has promising theoretical and practical implications. Because of the novelty of the topic, more research is needed to better understand the impact of inductive learning on people’s ability to distinguish AI art from non-AI art.

Item Type: Thesis (Bachelor)
Supervisor name: Gutzkow, B.
Degree programme: Psychology
Differentiation route: None [Bachelor Psychology]
Date Deposited: 12 Jul 2024 06:43
Last Modified: 12 Jul 2024 06:43
URI: http://gmwpublic.studenttheses.ub.rug.nl/id/eprint/3850

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