首页|基于CAC理论的景观应用行为研究——以大学生使用景观展示类应用程序行为因素为例

基于CAC理论的景观应用行为研究——以大学生使用景观展示类应用程序行为因素为例

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为了系统地分析虚拟景观展示类应用程序如何影响人们的行为意向,以认知-情感-意向(CAC)理论为基础,聚焦大学生群体,发现影响景观展示类应用程序行为的关键因素,以探讨此类应用程序的使用对大学生行为意向的影响.采用问卷调查方式,收集了308名大学生的数据,并运用结构方程模型(SEM)分析统计,重点考察了景观展示类应用程序的3个技术特性:准确性、沉浸特性、便捷性和个人观景行为两方面的需求:纪念保存、社交互动.研究结果发现,景观展示类程序不仅是空间的再现工具,更是情感和记忆的存储载体;景观展示类程序的应用引发了"间接"的观景行为,增加了大学生对虚拟空间的依恋行为,增强了景观展示类应用程序的使用意愿和人与景观展示类应用程序互动的强度.
The Study of Landscape Behavior Based on the CAC Theory:A Case of Behavioral Factors in College Students'Use of Landscape Display Applications
In order to systematically analyze how virtual landscape display applications influence people's behavioral intentions,this study is based on the cognition-affect-intention(CAC)theory and focuses on the college student demographic.It aims to identify the key factors affecting behavior related to landscape display applications and to explore the impact of such applications on the behavioral intentions of college students.The research employed a questionnaire survey method,collecting data from 308 college students,and utilized structural equation modeling(SEM)for statistical analysis.It specifically examined three technological characteristics of landscape display applications:accuracy,immersion,and convenience,as well as two aspects of personal viewing behavior:memorial preservation and social interaction.The results indicated that landscape display applications serve not only as tools for spatial representation but also as carriers for emotions and memories.The application of these programs triggered"indirect"landscape behaviors,increased college students'attachment to virtual spaces,and enhanced their willingness to use landscape display applications along with the intensity of interaction between users and the programs.

landscape architectureCAC theorylandscape behaviorvirtual landscapestructural equation modelinguniversity studentlandscape visualization application

沈极丰、黄光辉

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澳门科技大学人文艺术学院(澳门999078)

风景园林 CAC理论 景观行为 虚拟景观 结构方程模型 大学生 景观展示类应用程序

2024

中国园林
中国风景园林学会

中国园林

CSTPCD北大核心
影响因子:1.108
ISSN:1000-6664
年,卷(期):2024.40(11)