共睦态视角下AIGC对旅游服务产品设计策略研究

钟蕾, 牛兆群

包装工程(设计栏目) ›› 2025, Vol. 46 ›› Issue (20) : 157-169.

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PDF(2989 KB)
包装工程(设计栏目) ›› 2025, Vol. 46 ›› Issue (20) : 157-169. DOI: 10.19554/j.cnki.1001-3563.2025.20.015
工业设计

共睦态视角下AIGC对旅游服务产品设计策略研究

  • 钟蕾, 牛兆群
作者信息 +

Research on Strategy Design of AIGC for Tourism Experience from the Perspective of Symbiotic State

  • ZHONG Lei, NIU Zhaoqun
Author information +
文章历史 +

摘要

目的 从共睦态视角出发,挖掘人工智能生成内容(AIGC)在游客旅游过程中的关键需求要素,并探讨AIGC优化游客旅游体验的设计策略。方法 运用扎根理论对共睦态视角下游客旅游体验的需求因素进行分析,将AIGC与游客旅游体验需求要素相结合,探讨共睦态视角下AIGC对于游客旅游体验的因素发掘。结合Kano模型,对AIGC提升游客体验的核心要素进行分类,并对游客偏好与满意度分析,从而归纳游客在旅游过程中对AIGC的主要需求要素,并以此进行权重排序,来明确各需求要素的具体功能。结果 AIGC在提升游客旅游体验方面,需以个性化体验与便捷性为核心,社交需求与情感联结为驱动力,文化氛围与沉浸式体验为依托,经济与性价比为优化标准,安全保障与管理为基础。其中,游客最关注的AIGC应用包括高互动性行程规划、实时社交匹配、个性化文化解读、高性价比推荐及安全保障。满足这些关键需求要素,可有效提升游客的整体旅游体验。结论 本研究通过共睦态视角下AIGC对游客旅游体验的功能属性分析,归纳不同需求类别的核心功能,进一步AIGC在旅游体验过程中的作用,为人工智能在旅游服务产品设计中的应用提供参考。

Abstract

The work aims to explore the key demand factors of artificial intelligence generated content (AIGC) in tourist experience from the symbiotic state perspective and investigate design strategies for optimizing the experience. Using grounded theory, the study analyzed tourist experience demands from the symbiotic state perspective and integrated AIGC to explore their role in improving the experience. The Kano model was applied to classify core AIGC elements, analyze tourist preferences and satisfaction, and identify key demand factors in tourist experience. On this basis, a weight ranking was carried out to clarify the specific functions of each demand factor. The results suggest that AIGC should focus on personalized experiences, convenience, social interaction, cultural immersion, cost-effectiveness, and safety, with the most important applications being interactive itinerary planning, real-time social matching, personalized cultural interpretation, cost-effective recommendations, and safety assurance. Meeting these key demand factors could effectively enhance the overall travel experience of tourists. This study analyzes the functional attributes of AIGC on tourist experience from the symbiotic state perspective, summarizes the core functions of different demand categories, and further explores the role of AIGC in tourism experience optimization, offering a reference for the application of artificial intelligence in tourism service product design.

关键词

生成式人工智能(AIGC) / 旅游服务 / 游客体验 / 设计策略

Key words

artificial intelligence generated content (AIGC) / tourism services / tourist experience / design strategy

引用本文

导出引用1
钟蕾, 牛兆群. 共睦态视角下AIGC对旅游服务产品设计策略研究[J]. 包装工程. 2025, 46(20): 157-169 https://doi.org/10.19554/j.cnki.1001-3563.2025.20.015
ZHONG Lei, NIU Zhaoqun. Research on Strategy Design of AIGC for Tourism Experience from the Perspective of Symbiotic State[J]. Packaging Engineering. 2025, 46(20): 157-169 https://doi.org/10.19554/j.cnki.1001-3563.2025.20.015
中图分类号: TB472   

参考文献

[1] KAPFERER B.Crisis and Communitas: Victor Turner and Social Process[J]. Anthropology Today, 2019, 35(5): 1-2.
[2] 温士贤. 旅游促进各民族交往交流交融: 价值内涵、内在动力与践行路径[J]. 贵州民族研究, 2023, 44(5): 103-109.
WEN S X. Tourism Promotes Interaction, Exchange and Integration among Ethnic Groups: The Meaning, Motivation and Path[J]. Guizhou Ethnic Studies, 2023, 44(5): 103-109.
[3] 谢彦君, 徐英. 旅游体验共睦态: 一个情境机制的多维类属分析[J]. 经济管理, 2016, 38(8): 149-159.
XIE Y J, XU Y.The Communitas of Tourist Experience: A Multi-Dimensional Category Analysis of Situational Dynamics[J]. Economic Management Journal, 2016, 38(8): 149-159.
[4] 张先悦, 张茵. 户外音乐节互动仪式共睦态体验形成机制及后续效应——以迷笛音乐节为例[J]. 四川师范大学学报(自然科学版), 2023, 46(6): 837-846.
ZHANG X Y, ZHANG Y.Study on the Formation Mechanism and Follow-up Effect of the Communitas of Tourist Experience of Outdoor Music Festival: A Case Study of MIDI Music Festival[J]. Journal of Sichuan Normal University (Natural Science), 2023, 46(6): 837-846.
[5] 赵金金, 刘博. 求同还是存异?地方认同与旅游者价值共创行为的关系研究[J]. 人文地理, 2024, 39(3): 172-182.
ZHAO J J, LIU B.To Be Same, or to Be Different? study on the Relationship between Local Identity and Tourists' Value co-Creation Behavior[J]. Human Geography, 2024, 39(3): 172-182.
[6] 车璐, 张志强, 周金佳, 等. 生成式人工智能的研究现状和发展趋势[J]. 科技导报, 2024, 42(12): 35-43.
CHE L, ZHANG Z Q, ZHOU J J, et al.The Research Status and Development Trends of Generative Artificial Intelligence[J]. Science & Technology Review, 2024, 42(12): 35-43.
[7] 张小朝. AIGC在商旅行业中的应用探索[J]. 广东通信技术, 2024, 44(1): 75-79.
ZHANG X Z.Exploration on the Application of AIGC in Business Travel Industry[J]. Guangdong Communication Technology, 2024, 44(1): 75-79.
[8] 妥艳媜, 秦蓓蓓. 人工智能技术赋能旅游者幸福感的现实困境与实现路径[J]. 旅游学刊, 2023, 38(6): 3-6.
TUO Y Z, QIN B B.The Realistic Dilemma and Realization Path of Artificial Intelligence Technology Empowering Tourists' Happiness[J]. Tourism Tribune, 2023, 38(6): 3-6.
[9] 张悦群, 钟蕾. 基于文化记忆理论的非遗文化公共设施设计策略探究[J]. 包装工程, 2023, 44(14): 217-223.
ZHANG Y Q, ZHONG L.Design Strategy of Public Facilities of Intangible Cultural Heritage Based on Cultural Memory Theory[J]. Packaging Engineering, 2023, 44(14): 217-223.
[10] 卢颖怡, 杨东奇. 基于人工智能应用的定制旅行服务研究[J]. 地理教学, 2024(7): 61-64.
LU Y Y, YANG D Q.Research on Customized Travel Services Based on the Application of Artificial Intelligence[J]. Geography Teaching, 2024(7): 61-64.
[11] 郭亚军, 庞义伟, 周家华, 等. 具身智能知识服务: 元宇宙与AIGC等新技术赋能下的知识服务新图景[J]. 情报理论与实践, 2024, 47(4): 90-97.
GUO Y J, PANG Y W, ZHOU J H, et al.Embodied Intelligence Knowledge Services: The New Future of Knowledge Services Empowered by Emerging Technologies Like Metaverse and AIGC[J]. Information Studies (Theory & Application), 2024, 47(4): 90-97.
[12] LALICIC L, WEISMAYER C.Consumers' Reasons and Perceived Value Co-Creation of Using Artificial Intelligence-Enabled Travel Service Agents[J]. Journal of Business Research, 2021, 129: 891-901.
[13] 周屹, 陈韶晗, 韩甜甜. 数字技术与游客感知协同作用下民族文旅产品设计创新研究[J/OL]. 桂林理工大学学报, 2024: 1-14. (2022-12-16) [2024-07-02]. https:// link.cnki.net/urlid/45.1375.N.20240701.1718.004.
ZHOU Y, CHEN S H, HAN T T. Research on the Innovation of Ethnic Cultural Tourism Product Design under the Synergy of Digital Technology and Tourist Perception[J]. Journal of Guilin University of Technology, 2024: 1-14. (2022-12-16) [2024-07-02]. https://link.cnki. net/urlid/45.1375.N.20240701.1718.004.
[14] 王琨. 基于Kano模型的服务设计方法研究[D]. 南京: 南京航空航天大学, 2019.
WANG K.Research on service Design Method Based on Kano Model[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2019.
[15] 马捷, 葛岩, 蒲泓宇, 等. 基于多源数据的智慧城市数据融合框架[J]. 图书情报工作, 2019, 63(15): 6-12.
MA J, GE Y, PU H Y, et al.Intelligent City Data Fusion Framework Based on Multi-Source Data[J]. Library and Information Service, 2019, 63(15): 6-12.
[16] 周效章. 高校数字资源社会化服务的用户需求属性分析——基于Kano模型[J]. 情报杂志, 2019, 38(10): 200-207.
ZHOU X Z.Attributes of User's Demand of the Socialized Digital Resources Service in Universities: An Analysis Based on the Kano Model[J]. Journal of Intelligence, 2019, 38(10): 200-207.
[17] 虞慧岚, 侯利敏, 宋明亮. 基于KANO模型的母婴室服务需求分析[J]. 设计, 2020, 33(7): 141-143.
YU H L, HOU L M, SONG M L.Demand Analysis of Baby Care Room Service Based on Kano Model[J]. Design, 2020, 33(7): 141-143.
[18] 钟蕾, 费雪晶. 传统造物视角解析当代智能家居“和”文化设计[J]. 工业工程设计, 2020, 2(5): 31-38.
ZHONG L, FEI X J.Analysis on Cultural Design of Contemporary Smart Home “Harmony” from the Perspective of Traditional Creation[J]. Industrial & Engineering Design, 2020, 2(5): 31-38.

基金

天津市艺术科学规划重点项目(B24002)

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