Saved in:
Bibliographic Details
Main Authors: Xiaofan, Ma, Lirong, Yan, Weijia, Zhao, Weiping, Zeng, Huiyue, Wu
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2511.05400
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866917067652857856
author Xiaofan, Ma
Lirong, Yan
Weijia, Zhao
Weiping, Zeng
Huiyue, Wu
author_facet Xiaofan, Ma
Lirong, Yan
Weijia, Zhao
Weiping, Zeng
Huiyue, Wu
contents Ethnic clothing is a vital carrier of cultural identity, yet its digital preservation often results in static displays that fail to convey deep cultural meaning or foster user engagement. Existing practices lack a systematic design framework for translating the hierarchical cultural connotations of these garments into dynamic, personalized, and identity-promoting digital experiences. To address this gap, this paper proposes a Three-Layer Cultural Gene Framework that systematically decodes ethnic costumes from their surface-level visual symbols, through their mid-level socio-cultural contexts, to their inner-layer spiritual core. Based on this framework, we designed and implemented an interactive digital platform featuring two key innovations: a "gene-first" exploratory path that encourages curiosity-driven discovery, and an AI-powered co-creation experience. This generative feature allows users to co-create personalized narratives and images based on their understanding of the "inner-layer" genes, transforming them from passive observers into active co-creators. A mixed-methods user study (N=24) was conducted to evaluate the platform. The findings demonstrate that our approach effectively enhances users' cultural cognition, deepens their affective connection, and significantly promotes their sense of cultural identity. This research contributes a validated framework and a practical exemplar for designing generative, identity-building digital experiences for cultural heritage, offering a new pathway for its preservation and revitalization in the digital age.
format Preprint
id arxiv_https___arxiv_org_abs_2511_05400
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Designing Hierarchical Exploratory Experiences for Ethnic Costumes: A Cultural Gene-Based Perspective
Xiaofan, Ma
Lirong, Yan
Weijia, Zhao
Weiping, Zeng
Huiyue, Wu
Human-Computer Interaction
Ethnic clothing is a vital carrier of cultural identity, yet its digital preservation often results in static displays that fail to convey deep cultural meaning or foster user engagement. Existing practices lack a systematic design framework for translating the hierarchical cultural connotations of these garments into dynamic, personalized, and identity-promoting digital experiences. To address this gap, this paper proposes a Three-Layer Cultural Gene Framework that systematically decodes ethnic costumes from their surface-level visual symbols, through their mid-level socio-cultural contexts, to their inner-layer spiritual core. Based on this framework, we designed and implemented an interactive digital platform featuring two key innovations: a "gene-first" exploratory path that encourages curiosity-driven discovery, and an AI-powered co-creation experience. This generative feature allows users to co-create personalized narratives and images based on their understanding of the "inner-layer" genes, transforming them from passive observers into active co-creators. A mixed-methods user study (N=24) was conducted to evaluate the platform. The findings demonstrate that our approach effectively enhances users' cultural cognition, deepens their affective connection, and significantly promotes their sense of cultural identity. This research contributes a validated framework and a practical exemplar for designing generative, identity-building digital experiences for cultural heritage, offering a new pathway for its preservation and revitalization in the digital age.
title Designing Hierarchical Exploratory Experiences for Ethnic Costumes: A Cultural Gene-Based Perspective
topic Human-Computer Interaction
url https://arxiv.org/abs/2511.05400