Nissen, Mats (2025) Can We Tell the Difference? Human Sensitivity to AI-Generated vs. Human-Made Portraits. Bachelor thesis, Psychology.
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Abstract
The increasing sophistication of artificial intelligence (AI) presents new challenges in how humans perceive and evaluate AI-generated content. This study investigated whether individuals can accurately identify AI-generated versus human-made portrait paintings and examined factors that influence this judgment accuracy. Participants (N = 232) were randomly assigned to a training or control group and completed a task on classifying portraits as either human-made or AI-generated. The training manipulation consisted of interleaved practice to facilitate inductive learning. Along with this, questionnaires were employed to measure Theory of Mind (ToM) abilities and Assessment orientation as part of the Regulatory Mode Theory. Results showed that participants in the training condition performed better than those in the control group, indicating that judgment accuracy is malleable and can be improved through the right training intervention. ToM scores predicted better judgment accuracy specifically for human-made portraits, suggesting that social cognitive abilities are relevant when interpreting socially rich stimuli. However, no interaction was found between ToM and training, nor was there a significant effect of Assessment on training benefit. These findings highlight both the potential of targeted interventions to enhance judgment accuracy and the specific role of ToM in recognizing human intention in visual art. However, the practical application of these findings is limited, highlighting that further research is needed to improve our understanding of how humans evaluate AI-generated works.
| Item Type: | Thesis (Bachelor) |
|---|---|
| Supervisor name: | Gutzkow, B. |
| Degree programme: | Psychology |
| Differentiation route: | None [Bachelor Psychology] |
| Date Deposited: | 16 Jul 2025 07:39 |
| Last Modified: | 16 Jul 2025 07:39 |
| URI: | http://gmwpublic.studenttheses.ub.rug.nl/id/eprint/5516 |
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