Matching Effect between Allocation Agents and Rules：Study Based on Human-Robot Differences
1. School of Psychology, Shenzhen University, Shenzhen 518060, China;
2. Department of Psychology and Behavior Sciences, Zhejiang University, Hangzhou 310030, China;
3. School of Psychology, South China Normal University, Guangzhou 510631, China
Abstract：With the development of artificial intelligence (AI) technologies, intelligent robots have emerged as active agents in allocation decision-makings. When evaluating fairness in allocation, humans often consider the principles of equality and equity. However, owing to mind perception disparities between human and robotic decision-makers, a divergence in alignment with distinct allocation principles may arise. This study found that when humans make equity allocations and robots make equality allocations, individuals experience diminished conflict and heightened perceptions of fairness, ultimately improving accuracy in matching judgments. Conversely, human-equality and robot-equity allocations decrease accuracy in matching judgments. This study revealed a matching effect between the allocation agents and rules.
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