Are humans willing to cooperation with robots? Decision-making effects in human-robot cooperation from the perspective of mind perception theory
Year: 2025
Type: article
Abstract: The digital intelligence technology has reshaped the mode of human-robot cooperation. In order to deeply analyze the psychological mechanism of human-robot cooperative decision-making, based on the theoretical framework of mind perception, the study explored the influence on human-robot cooperation from the dual path of sense of control (agent)-anthropomorphism (experience). In Study 1, 59 university student subjects were required to complete a Prisoner's Dilemma task with cooperative objects (robots and humans) in a high and low sense of control condition. A 2×2 repeated measures ANOVA showed that subjects were more willing to cooperate with humans than with robots, and regardless of the object of cooperation, subjects showed more cooperative behaviors under a high sense of control. The results also showed subjects' cooperative decision-making responses were longer under a high sense of control than under a low sense of control in human-human cooperation, whereas there was no significant difference in human-robot cooperation. In Study 2, 130 university students were randomly assigned to either a high or low anthropomorphic robot group. The results of the independent samples t-test showed subjects in the high anthropomorphic robot group attributed more warm attributes to the robot, leading to more cooperative behaviors. These findings not only enhance the theoretical explanatory power of the mind perception theory in human-robot interaction, but also provide empirical evidence for optimizing the social properties of robots and the design of interaction interfaces.
Authors: Yuxi Sun, Xuemeng Zhang, Ke Wen, Yin Han, ChenHao Shi
Institution: Chongqing Normal University
Language: English
Subfield: Social Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $1,880
Awards: G2617932605, G5602807182
OpenAlex ID: W7117293510
