研究机器人面试时注意力分配如何影响人对被排斥的感知。
Beyond Attention: Investigating the Threshold Where Objective Robot Exclusion Becomes Subjective
- 通过控制实验分析机器人注意力与主观排斥的关系。
- 发现客观排斥超过阈值后，人明显感觉被忽视。
- 站立位置是关键因素，性别身高无显著影响。
随着机器人在决策过程（如人员选拔）中的参与度提升，公平性与社会包容性问题日益突出。本研究以机器人Ameca主导小组面试，探讨客观排斥（机器人注意力分配）、主观排斥（感知排斥）、情绪变化及需求满足之间的关系。在一项受控实验室研究中（N = 35），高客观排斥显著预测主观排斥。主观排斥负面地影响情绪和需求满足，但仅在客观排斥与需求满足之间起中介作用。分段回归分析识别出客观排斥开始被感知为主观排斥的关键阈值。此外，站立位置是排斥的主要预测因子，而人口学因素（如性别、身高）无显著影响。研究结果强调在人机交互中需兼顾客观与主观排斥，并对机器人辅助招聘的公平性具有启示。
原文摘要 · Abstract (English)
As robots become increasingly involved in decision-making processes (e.g., personnel selection), concerns about fairness and social inclusion arise. This study examines social exclusion in robot-led group interviews by robot Ameca, exploring the relationship between objective exclusion (robot's attention allocation), subjective exclusion (perceived exclusion), mood change, and need fulfillment. In a controlled lab study (N = 35), higher objective exclusion significantly predicted subjective exclusion. In turn, subjective exclusion negatively impacted mood and need fulfillment but only mediated the relationship between objective exclusion and need fulfillment. A piecewise regression analysis identified a critical threshold at which objective exclusion begins to be perceived as subjective exclusion. Additionally, the standing position was the primary predictor of exclusion, whereas demographic factors (e.g., gender, height) had no significant effect. These findings underscore the need to consider both objective and subjective exclusion in human-robot interactions and have implications for fairness in robot-assisted hiring processes.
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