Beyond Attention: Investigating the Threshold Where Objective Robot Exclusion Becomes Subjective
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arXiv
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| Auteurs principaux: | , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866908332243025920 |
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| author | Arlinghaus, Clarissa Sabrina Ashok, Ashita Mandal, Ashim Berns, Karsten Maier, Günter W. |
| author_facet | Arlinghaus, Clarissa Sabrina Ashok, Ashita Mandal, Ashim Berns, Karsten Maier, Günter W. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_15886 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Beyond Attention: Investigating the Threshold Where Objective Robot Exclusion Becomes Subjective Arlinghaus, Clarissa Sabrina Ashok, Ashita Mandal, Ashim Berns, Karsten Maier, Günter W. Human-Computer Interaction Robotics 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. |
| title | Beyond Attention: Investigating the Threshold Where Objective Robot Exclusion Becomes Subjective |
| topic | Human-Computer Interaction Robotics |
| url | https://arxiv.org/abs/2504.15886 |