老年人对增强现实旅游场景的接受行为研究：基于TRI-UTAUT2模型

李骄阳; 樊振佳

doi:10.13266/j.issn.2095-5472.2023.005

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知识管理论坛 ›› 2023, Vol. 8 ›› Issue (1) : 53-64. DOI: 10.13266/j.issn.2095-5472.2023.005

学术探索

老年人对增强现实旅游场景的接受行为研究：基于TRI-UTAUT2模型

李骄阳 ,
樊振佳

作者信息 +

Acceptance Behavior of the Elderly in Augmented Reality Tourism Scenes: Based on TRI/UTAUT2 Model

Li Jiaoyang ,
Fan Zhenjia

Author information +

文章历史 +

摘要

[目的/意义] 针对老年群体，探究其对于新技术应用的接受行为并发现规律。[方法/过程] 基于整合科技接受模型（UTAUT2）和技术准备度（TRI）理论，构建老年群体对增强现实旅游场景的接受行为模型，提出研究假设，并采用问卷调查的方式收集数据，运用结构方程模型、SPSS和AMOS软件验证假设，对老年人群体中增强现实旅游场景的接受行为的影响因素进行研究。[结果/结论] 老年群体中促成因素不能显著影响使用意愿但显著影响使用行为；老年群体中绩效期望、努力期望、社会影响、价格价值和不舒适感是使用意愿的主要前因变量；老年群体中使用意愿是接受行为的显著影响因素，享乐动机和缺乏安全感对其接受意愿并无显著影响。

Abstract

[Purpose/Significance] This paper aims to explore the acceptance behavior of the elderly for the application of new technologies and find out its regular pattern.[Method/Process] Based on the UTAUT2 and TRI, this paper constructed a behavior model of the elderly for the use of augmented reality tourism scenarios, put forward research hypotheses, collected data by means of questionnaire survey, and verified hypotheses by using structural equation model, SPSS and AMOS software, to verify the influencing factors of augmented reality tourism scene acceptance behavior among the elderly. [Result/Conclusion] The results show that: the contributing factors in the elderly group cannot significantly affect the use intention, but significantly affect the use behavior. Performance expectation, effort expectation, social impact, price value and discomfort are the main antecedents of use intention in the elderly group. The use intention of the elderly is a significant influencing factor of use behavior, and hedonic motivation and lack of security have no significant impact on their use intention.

导出引用

李骄阳 , 樊振佳. 老年人对增强现实旅游场景的接受行为研究：基于TRI-UTAUT2模型[J]. 知识管理论坛. 2023, 8(1): 53-64 https://doi.org/10.13266/j.issn.2095-5472.2023.005

Li Jiaoyang , Fan Zhenjia. Acceptance Behavior of the Elderly in Augmented Reality Tourism Scenes: Based on TRI/UTAUT2 Model[J]. Knowledge Management Forum. 2023, 8(1): 53-64 https://doi.org/10.13266/j.issn.2095-5472.2023.005

中图分类号： G203

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