The discussion around the problematic practice of gendering humanoid robots has risen to the foreground in the last few years. To lay the basis for a thorough understanding of how robot's "gender" has been understood within the Human-Robot Interaction (HRI) community - i.e., how it has been manipulated, in which contexts, and which effects it has yield on people's perceptions and interactions with robots - we performed a scoping review of the literature. We identified 553 papers relevant for our review retrieved from 5 different databases. The final sample of reviewed papers included 35 papers written between 2005 and 2021, which involved a total of 3902 participants. In this article, we thoroughly summarize these papers by reporting information about their objectives and assumptions on gender (i.e., definitions and reasons to manipulate gender), their manipulation of robot's "gender" (i.e., gender cues and manipulation checks), their experimental designs (e.g., demographics of participants, employed robots), and their results (i.e., main and interaction effects). The review reveals that robot's "gender" does not affect crucial constructs for the HRI, such as likability and acceptance, but rather bears its strongest effect on stereotyping. We leverage our different epistemological backgrounds in Social Robotics and Gender Studies to provide a comprehensive interdisciplinary perspective on the results of the review and suggest ways to move forward in the field of HRI.

翻译：近年来，关于人形机器人性别化这一有争议实践的讨论逐渐成为热点。为深入理解人机交互（HRI）领域如何解读机器人的"性别"——即其操控方式、应用情境及对人们感知与交互行为的影响——我们开展了一项文献范畴综述。从5个数据库中检索到553篇相关文献，最终纳入35篇发表于2005年至2021年间的论文，共涉及3902名参与者。本文系统梳理了这些文献，报告其研究目标与性别假设（如性别定义及操控动机）、性别操控方式（如性别线索与操控检验）、实验设计（如参与者人口统计学特征、所用机器人类型）及研究结果（如主效应与交互效应）。综述表明：机器人的"性别"对人机交互的关键构念（如喜好度与接受度）无显著影响，但会对刻板印象产生强烈作用。我们整合社会机器人学与性别研究的差异化认识论基础，对综述结果提出跨学科综合分析视角，并为推动人机交互领域发展提供建议路径。