Abstract
Extroversion is one of the important anthropomorphic characteristics of partner robot. This study aims to explore the relationship among human-robot extroversion matching, robot acceptance and individual work performance, and to further explore the mediating effect of robot acceptance and the moderating effect of human extroversion.
This research adopts the method of questionnaire survey, including independent variables: human-robot extroversion (two levels: extroversion and introversion) and human-robot extroversion matching (two levels: homogeneous and heterogeneous), dependent variable: respondents’ self-assessed work performance, mediating variable: robot acceptance, and moderating variable: human’s extroversion. Each respondent was asked to rate their self-extroversion, their robot acceptance and own work performance when working with extroverted and introverted partner robot in turn. A total of 152 valid questionnaires were recovered.
Data analysis results show that human-robot extroversion matching has a significant impact on respondents’ work performance. When human-robot extroversion is homogeneous, respondents’ work performance is higher. In addition, respondents’ acceptance of robots is a complete mediating variable between human-robot extroversion matching and work performance, and human extroversion is a moderating variable between human-robot extroversion matching and robot acceptance. The effect of human-robot extroversion matching on robot acceptance is more significant when the human personality is extroverted.
This study suggests that in the organizational design of human-robot collaboration teams, the homogeneity of individual characteristics of human-robot team members and the level of human acceptance of robot anthropomorphism should be fully considered.
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This study was funded by a Ministry of Education of Humanities and Social Science project 19YJC840002, a National Natural Science Foundation of China 71942005 and a Beijing Social Science Fund 17SRC021.
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Liu, Y., Akbar, Z., Chen, N. (2022). The Effect of Human-Robot Extroversion Matching on Individual Work Performance. In: Rau, PL.P. (eds) Cross-Cultural Design. Product and Service Design, Mobility and Automotive Design, Cities, Urban Areas, and Intelligent Environments Design. HCII 2022. Lecture Notes in Computer Science, vol 13314. Springer, Cham. https://doi.org/10.1007/978-3-031-06053-3_38
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