TY - JOUR
T1 - Predicting the change trajectory of employee robot-phobia in the workplace
T2 - The role of perceived robot advantageousness and anthropomorphism
AU - Lan, Junbang
AU - Yuan, Bocong
AU - Gong, Yuanyuan
N1 - Funding Information:
National Natural Science Foundation of China (grant number: 72001218 and 71832006 ), and JSPS KAKENHI (grant number: JP20K13555 ).
Publisher Copyright:
© 2022
PY - 2022/10
Y1 - 2022/10
N2 - In recent years, robotics has been widely adopted in the workplaces of various industries. Resultantly, human employees have to work increasingly with non-human robotic coworkers. Although the rapid development of robotic technology (e.g., stronger capabilities and more human-like qualities) brings about greater efficiency, human employees may feel threatened and harbor fears toward robots (i.e., robot-phobia). This study explores the complexity of employees' robot-phobia by examining its change trajectory during the adaptation phase. Further, by drawing upon an integrated threat theory, we propose two perceived threats that impact robot-phobia: robots' perceived advantages compared to humans and anthropomorphism. The model was tested via quantitative (Study 1) and qualitative (Study 2) analyses. In Study 1, we tracked 163 hotel employees seven times over one and a half months from their first days working with service robotics and analyzed the data using the Latent Growth Modeling (LGM) approach. Results reveal a positive quadratic growth curve regarding employee robot-phobia over time. Moreover, this growth curve is influenced by employees’ perceived advantages of robots compared to humans and perceived anthropomorphism. Study 2 consists of a series of post-hoc semi-structured interviews with 18 hotel employees, which further corroborates our theoretical mechanism. Our study advances the knowledge of the dynamics of employee robot-phobia, facilitating future applications of robotics in the workplace.
AB - In recent years, robotics has been widely adopted in the workplaces of various industries. Resultantly, human employees have to work increasingly with non-human robotic coworkers. Although the rapid development of robotic technology (e.g., stronger capabilities and more human-like qualities) brings about greater efficiency, human employees may feel threatened and harbor fears toward robots (i.e., robot-phobia). This study explores the complexity of employees' robot-phobia by examining its change trajectory during the adaptation phase. Further, by drawing upon an integrated threat theory, we propose two perceived threats that impact robot-phobia: robots' perceived advantages compared to humans and anthropomorphism. The model was tested via quantitative (Study 1) and qualitative (Study 2) analyses. In Study 1, we tracked 163 hotel employees seven times over one and a half months from their first days working with service robotics and analyzed the data using the Latent Growth Modeling (LGM) approach. Results reveal a positive quadratic growth curve regarding employee robot-phobia over time. Moreover, this growth curve is influenced by employees’ perceived advantages of robots compared to humans and perceived anthropomorphism. Study 2 consists of a series of post-hoc semi-structured interviews with 18 hotel employees, which further corroborates our theoretical mechanism. Our study advances the knowledge of the dynamics of employee robot-phobia, facilitating future applications of robotics in the workplace.
KW - Anthropomorphism
KW - Perceived advantages of robots compared to humans
KW - Robot-phobia
KW - Technophobia
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U2 - 10.1016/j.chb.2022.107366
DO - 10.1016/j.chb.2022.107366
M3 - Article
AN - SCOPUS:85132893020
SN - 0747-5632
VL - 135
JO - Computers in Human Behavior
JF - Computers in Human Behavior
M1 - 107366
ER -