论文标题
探索机器人的性别扩展分类选项
Exploring Gender-Expansive Categorization Options for Robots
论文作者
论文摘要
性别越来越多地被人们归因于机器人的社会特征。然而，涉及性别可能是性别的社会机器人的研究往往不是通过试点研究或操纵检查来解决性别看法。此外，确实解决了对性别看法的研究受到对人类性别二进制模型的女性和男性二进制模型的限制。作为回应，我们进行了一项在线试验分类研究（n = 55），其中我们为四个层次的拟人化级别提供了四个机器人的性别扩展响应选项。调查结果表明，人们以各种方式性别机器人，而不一定与性别二进制有关。此外，较少的拟人化机器人和幼稚的人形机器人被认为是男性的，而标志性的机器人被认为是性别中性，流体和/或模棱两可的。我们讨论对所有人类机器人的未来工作的影响。
Gender is increasingly being explored as a social characteristic ascribed to robots by people. Yet, research involving social robots that may be gendered tends not to address gender perceptions, such as through pilot studies or manipulation checks. Moreover, research that does address gender perceptions has been limited by a reliance on the human gender binary model of feminine and masculine, prescriptive response options, and/or researcher assumptions and/or ascriptions of participant gendering. In response, we conducted an online pilot categorization study (n=55) wherein we provided gender-expansive response options for rating four robots ranging across four levels of anthropomorphism. Findings indicate that people gender robots in diverse ways, and not necessarily in relation to the gender binary. Additionally, less anthropomorphic robots and the childlike humanoid robot were deemed masculine, while the iconic robot was deemed gender neutral, fluid, and/or ambiguous. We discuss implications for future work on all humanoid robots.
