互惠(文化人类学)
自我表露
透视图(图形)
心理学
计算机用户满意度
人机交互
对话系统
用户满意度
社会心理学
计算机科学
应用心理学
用户体验设计
万维网
人工智能
用户界面设计
对话框
作者
SeoYoung Lee,Junho Choi
标识
DOI:10.1016/j.ijhcs.2017.02.005
摘要
This study investigates how user satisfaction and intention to use for an interactive movie recommendation system is determined by communication variables and relationship between conversational agent and user. By adopting the Computers-Are-Social-Actors (CASA) paradigm and uncertainty reduction theory, this study examines the influence of self-disclosure and reciprocity as key communication variables on user satisfaction. A two-way ANOVA test was conducted to analyze the effects of self-disclosure and reciprocity on user satisfaction with a conversational agent. The interactional effect of self-disclosure and reciprocity on user satisfaction was not significant, but the main effects proved to be both significant. PLS analysis results showed that perceived trust and interactional enjoyment are significant mediators in the relationship between communication variables and user satisfaction. In addition, reciprocity is a stronger variable than self-disclosure in predicting relationship building between an agent and a user. Finally, user satisfaction is an influential factor of intention to use. These findings have implications from both practical and theoretical perspective.
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