GatheringSense: AI-Generated Imagery and Embodied Experiences for Understanding Literati Gatherings
You Zhou, Bingyuan Wang, Hongcheng Guo, Rui Cao, Zeyu Wang

TL;DR
This paper introduces GatheringSense, an AI-driven framework that combines generative multimodal content and embodied participation to enhance understanding and appreciation of Chinese literati gatherings, blending cultural insight with immersive experience.
Contribution
It presents a novel dual-path approach integrating AI-generated content and embodied experience for cultural understanding, supported by empirical study and design implications.
Findings
AI content improves cultural symbol readability and emotional appeal.
Embodied experience deepens understanding of rituals and social roles.
Physical coherence issues may affect user satisfaction.
Abstract
Chinese literati gatherings (Wenren Yaji), as a situated form of Chinese traditional culture, remain underexplored in depth. Although generative AI supports powerful multimodal generation, current cultural applications largely emphasize aesthetic reproduction and struggle to convey the deeper meanings of cultural rituals and social frameworks. Based on embodied cognition, we propose an AI-driven dual-path framework for cultural understanding, which we instantiate through GatheringSense, a literati-gathering experience. We conduct a mixed-methods study (N=48) to compare how AI-generated multimodal content and embodied participation complement each other in supporting the understanding of literati gatherings and fostering cultural resonance. Our results show that AI-generated content effectively improves the readability of cultural symbols and initial emotional attraction, yet limitations…
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Taxonomy
TopicsInnovative Human-Technology Interaction · Action Observation and Synchronization · Embodied and Extended Cognition
