机器人
调解
机器人学
情感(语言学)
心理学
人工智能
补偿(心理学)
机制(生物学)
社交机器人
愿意接受
计算机科学
人机交互
社会心理学
应用心理学
社会学
支付意愿
机器人控制
沟通
移动机器人
经济
社会科学
微观经济学
哲学
认识论
作者
Xiaoyi Wang,Xingyi Qiu
标识
DOI:10.1080/10447318.2023.2212863
摘要
Past research has discovered that the shape design and interaction process design of AI robots, as well as the users' constant features, are the major factors that affect users' willingness to interact with AI robots. Currently, AI robots that play a vital part in the daily activities of our society are becoming increasingly prevalent, thus things about AI robots have gone from mythic to prosaic. But when and where people are more likely to adopt AI robots remains an important research topic. With the development of online technology and the long-term impact of COVID-19, there has been a recent trend in the lower frequency of socializing. To investigate whether a state of low socializing frequency is a robotic moment and whether it affects people's willingness to interact with AI robots, we conducted two-wave questionnaire surveys to collect data from 300 participants from 23 provinces in China. The results showed that the frequency of socializing had a significant negative correlation with the willingness to interact with the AI robots via the mediation role of social compensation. Furthermore, the relationship between social compensation and willingness to interact with the AI robots was demonstrated to be stronger, when participants had a lower anthropomorphic tendency. These findings have theoretical implications for the human–computer interaction literature and managerial implications for the robotics industry.
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