User Preference-Driven AIGC Design for Rural Tourism IP Images: A Case Study of Harbin

DOI

10.2991/978-94-6239-737-8_74How to use a DOI?

Keywords

AIGC-assisted design; rural tourism IP image; perceptual priority; one-way ANOVA; prompt engineering; Harbin rural culture

Abstract

Rural tourism IP image design often suffers from visual homogeneity, weak cultural identification, and limited empirical support for visual element selection. Taking rural Harbin as a case, this study proposes a user-preference-driven AIGC design method that integrates perceptual-priority (PP) analysis, one-way ANOVA, and prompt engineering. Its methodological contribution is an evidence-translation mechanism that converts questionnaire-based user perception data into weighted prompt constraints for AIGC-assisted character design. Field investigation and a structured survey of 220 respondents were used to establish and evaluate ten Harbin rural cultural elements. PP analysis identified visually salient elements, while one-way ANOVA tested whether gender-based preference differences should inform balanced element weighting. The selected elements were converted into hierarchical prompts and compared with unweighted prompt outputs during Midjourney iteration, resulting in the rural tourism IP image “Ha-Bing”. The workflow improves prompt traceability, strengthens cultural consistency, and provides a reproducible method for rural tourism IP image design and digital cultural communication.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yixin Pan
AU  - Lili Zhang
AU  - Qingxi Liu
AU  - Qian Li
PY  - 2026
DA  - 2026/08/18
TI  - User Preference-Driven AIGC Design for Rural Tourism IP Images: A Case Study of Harbin
BT  - Proceedings of the 2026 5th International Conference on Art Design and Digital Technology (ADDT 2026)
PB  - Atlantis Press
SP  - 632
EP  - 638
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-737-8_74
DO  - 10.2991/978-94-6239-737-8_74
ID  - Pan2026
ER  -