The discussion around gendering humanoid robots has gained more traction in the last few years. To lay the basis for a full comprehension of how robots’ “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 yielded 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 robots’ “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 robots’ “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.

在过去几年中，关于人形机器人性别的讨论越来越受到关注。为全面理解机器人的“性别”在人机交互（HRI）社区中的理解奠定基础，即它是如何被操纵的、在什么背景下以及它对人们的看法产生了哪些影响以及与机器人的互动——我们对文献进行了范围审查。我们从 5 个不同的数据库中检索到了 553 篇与我们的综述相关的论文。最终的评审论文样本包括 2005 年至 2021 年间撰写的 35 篇论文，共有 3902 名参与者。在这篇文章中，我们通过报告关于性别的目标和假设（即操纵性别的定义和原因）、他们对机器人“性别”的操纵（即性别线索和操纵检查）、他们的实验等信息，彻底总结了这些论文。设计（例如，参与者的人口统计、使用的机器人）及其结果（即，主要效应和交互效应）。审查表明，机器人的“性别”并不影响 HRI 的关键结构，例如可爱度和接受度，但对刻板印象的影响最大。我们利用社会机器人学和性别研究方面的不同认识论背景，对审查结果提供全面的跨学科视角，并提出在 HRI 领域前进的方法。