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A Preliminary Study of the Effects of Racialization and Humanness on the Verbal Abuse of Female-Gendered Robots

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Published:01 March 2018Publication History

ABSTRACT

Recent research has indicated that people engage, and unabashedly so, in the verbal abuse of female-gendered robots. To understand whether this also cuts across racial lines, and furthermore, whether it differs from objectifying treatment of actual people, we conducted a preliminary mixed-methods investigation of online commentary on videos of three such robots -- Bina48, Nadine, and YangYang -- contrasted with commentary on videos of three women with similar identity cues. Analysis of the frequency and nature of abusive commentary suggests that: (1) the verbal abuse of the Bina48 and YangYang (two robots racialized as Black and Asian respectively) is laced with both subtle and overt racism; (2) people more readily engage in the verbal abuse of humanlike robots (versus other people). Not only do these findings reflect a concerning phenomenon, consideration is warranted as to whether people»s engagement in abusive interactions with humanlike robots could impact their subsequent interactions with other people.

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  1. A Preliminary Study of the Effects of Racialization and Humanness on the Verbal Abuse of Female-Gendered Robots

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      cover image ACM Conferences
      HRI '18: Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction
      March 2018
      431 pages
      ISBN:9781450356152
      DOI:10.1145/3173386

      Copyright © 2018 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 1 March 2018

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      HRI '18 Paper Acceptance Rate49of206submissions,24%Overall Acceptance Rate192of519submissions,37%

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