Using AI to Generate Affective Images: Methodology and Initial Library

Abstract excerpt

<p>This project aims to advance affective science by leveraging generative artificial intelligence (AI) to create a publicly accessible database of affect induction images: Library of AI-Generated Affective Images (LAI-GAI). Current limitations in image-based research include weak to moderate emotional elicitation effects, limited image diversity, and minimal cultural tailoring of images. First, we built a pipelin...

Topics

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• Case-Control Studies
• Depression
• Depressive Disorder
• Genetic Markers
• Machine Learning
• Prediction Algorithms
• Predictive Learning Models
• Risk Assessment

Identifiers and source

Literature Corpus work

4dd67f98-30f6-57c4-9eeb-42e1fa3fe705

DOI

10.31234/osf.io/vxb7p_v1