论文标题
既没有“听”和“他们的”：在机器人中询问性别中立性
Neither "Hear" Nor "Their": Interrogating Gender Neutrality in Robots
论文作者
论文摘要
性别是一个社会框架，人们通过它组织自己和包括机器人在内的非人类主题。延伸几十年来的研究发现，即使在语音，身体，角色和其他社会特征中，人们倾向于不知不觉地性别人造代理人。这导致了机器人中性别中立的概念：我们可以避免与人类模型相符的性别机器人的方式，以及对超人性别的探索。这项快速的综述对文献进行了严格的调查，以捕捉与人互动的机器人中性别中立性的最新技术。我们介绍了关于理论，方法，结果和反射性的发现。我们询问了这样一个想法，即机器人性别/ING可以是中立的，并通过设计和研究与人互动的机器人进行设计和研究来探索其他方式。
Gender is a social framework through which people organize themselves-and non-human subjects, including robots. Research stretching back decades has found evidence that people tend to gender artificial agents unwittingly, even with the slightest cue of humanlike features in voice, body, role, and other social features. This has led to the notion of gender neutrality in robots: ways in which we can avoid gendering robots in line with human models, as well explorations of extra-human genders. This rapid review critically surveyed the literature to capture the state of art on gender neutrality in robots that interact with people. We present findings on theory, methods, results, and reflexivity. We interrogate the very idea that robot gender/ing can be neutral and explore alternate ways of approaching gender/ing through the design and study of robots interacting with people.
