(人) 类机器人:人类形态主义和语言对机器人性别感知的影响
Eileen Roesler1, Maris Heuring1, Linda Onnasch1
1Department of Psychology and Ergonomics, Technische Universität Berlin, Marchstr. 12, 10587 Berlin, Germany.
概括
机器人中的人类形态主义可能会导致男性偏见,特别是在更高的人类形态主义的情况下. 语法上的性别也会影响机器人的感知,男性术语强化中性机器人的男性性别.
科学领域:
- 人与机器人的交互
- 认知科学 认知科学
- 机器人技术 机器人技术 机器人技术
背景情况:
- 人类形象主义被用来改善人机交互,但可能导致意外的性别偏见.
- 以前的研究表明男性机器人偏见,但原因 (外观,语言) 尚不清楚.
研究的目的:
- 调查人类形象主义和语法性别如何影响机器人性别的感知.
- 为了确定男性机器人偏见是否与机器人的外观或语言有关.
主要方法:
- 两项在线研究使用不同程度的人形化机器人的图像进行.
- 研究1比较了德国 (语法性别) 和英国 (自然性别) 的样本.
- 第二项研究研究了语法上性别描述 (男性,女性,中性) 对机器人的感知的影响.
主要成果:
- 更高的人类形象主义显著增加了机器人作为男性的感知.
- 德国和英国样本之间没有发现感知性别的显著差异.
- 男的语法性别加强了性别中立机器人的男性性别归属.
结论:
- 男人机器人偏见似乎与人形机器人的视觉外观有关.
- 对机器人分配的语法性别也在塑造性别认知方面发挥着作用.
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