Summary of Level Of Agreement Between Emotions Generated by Artificial Intelligence and Human Evaluation: a Methodological Proposal, By Miguel Carrasco et al.
Level of agreement between emotions generated by Artificial Intelligence and human evaluation: a methodological proposal
by Miguel Carrasco, Cesar Gonzalez-Martin, Sonia Navajas-Torrente, Raul Dastres
First submitted to arxiv on: 10 Oct 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper presents a study on evaluating the agreement between artificial intelligence-generated images and human emotional responses to those images. StyleGAN2-ADA is used to generate 80 artistic landscapes evoking different emotions, which are then classified by 61 observers through an online questionnaire. Statistical analyses reveal a generally good level of agreement among participants and between observer’s responses and AI-generated emotions, with better results for negative emotions. The study highlights the subjectivity inherent in emotional evaluation. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper shows how AI can create images that match human emotions, but it also finds that people have different feelings about those images. Researchers used a special AI tool to make 80 pictures of landscapes that are supposed to evoke emotions like happiness or sadness. Then they asked 61 people to look at the pictures and say what emotion they felt. The study found that most people agreed on how they felt, but there was some difference depending on whether the emotion was positive or negative. |
