Answers are grounded in this paper and cite their sources.
Explores AI-generated psychological videos' effects on audience interaction and stress relief.
This study examines the content characteristics, audience interaction, and experience feedback of artificial intelligence (AI)-generated psychological healing videos on Douyin, a popular short-video platform in China. It integrates a multimodal analysis framework with stress recovery theory to conduct content analysis of 354 AI-generated healing videos on Douyin and semi-structured interviews with 30 viewers. The study finds that AI-generated videos typically employ hand-drawn animation and warm color tones to establish a safe atmosphere, combined with fantastical visual elements such as biological transformation and material substitution to create stylized, fixed content patterns. Videos that abandon complex narratives and directly construct simple emotional atmospheres through abstract concepts and atmospheric rendering receive significantly higher audience interaction. Users' viewing behaviors have clear functional intentions, often using the videos proactively during times of anxiety or insomnia and relying on platform algorithms to recommend matching content for brief, controllable emotional relief. These findings suggest the emotion-regulation potential of AI-generated psychological healing videos as an accessible form of digital stress-relief media content.
No takes yet. Share an insight, caveat, or question.
Guo et al. (2026) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: