研究机器人身份的状态

Lux Miranda, Ginevra Castellano, Katie Winkle
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引用次数: 1

摘要

人机交互具有影响人类规范和文化的力量。虽然利用这种力量创造积极的社会变革有潜在的好处,但仅仅加强现有的社会偏见也有风险,这些偏见维护了压迫制度。随着最突出的压迫形式随着社会身份的出现而出现,我们在设计社交机器人和其他代理体现时,必须非常小心地利用类似人类的身份线索,这是理所当然的。然而,人们对如何做到这一点的理解还不够充分。为了形成机器人身份的伦理,我们首先调查了关于人机交互主题的思想状态。为此,我们从女权主义和交叉的角度对人力资源研究所会议记录进行了结构化的审查。我们的初步发现表明,现有的文献并没有充分研究交叉性,体现了一种令人担忧的神经分化病理,而且几乎完全忽视了对种族的研究。
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Examining the State of Robot Identity
Human-robot interaction has the power to influence human norms and culture. While there is potential benefit in using this power to create positive social change, so too is there risk in merely reinforcing existing social biases which uphold systems of oppression. As the most salient forms of oppression arise along lines of social identity, it stands to reason that we must take utmost care in leveraging human-like identity cues when designing social robots and other agentic embodiments. Yet, the understanding of how to do this is not well-developed. Towards forming an ethics of robot identity, we begin by surveying the state of thought on the topic in human-robot interaction. We do this by conducting a structured review of HRI conference proceedings analyzed from a feminist, intersectional perspective. Our initial findings suggest that existing literature has not fully engaged with intersectionality, embodies an alarming pathologization of neurodivergence, and almost wholly neglects the examination of race.
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来源期刊
ACM Transactions on Human-Robot Interaction
ACM Transactions on Human-Robot Interaction Computer Science-Artificial Intelligence
CiteScore
7.70
自引率
5.90%
发文量
65
期刊介绍: ACM Transactions on Human-Robot Interaction (THRI) is a prestigious Gold Open Access journal that aspires to lead the field of human-robot interaction as a top-tier, peer-reviewed, interdisciplinary publication. The journal prioritizes articles that significantly contribute to the current state of the art, enhance overall knowledge, have a broad appeal, and are accessible to a diverse audience. Submissions are expected to meet a high scholarly standard, and authors are encouraged to ensure their research is well-presented, advancing the understanding of human-robot interaction, adding cutting-edge or general insights to the field, or challenging current perspectives in this research domain. THRI warmly invites well-crafted paper submissions from a variety of disciplines, encompassing robotics, computer science, engineering, design, and the behavioral and social sciences. The scholarly articles published in THRI may cover a range of topics such as the nature of human interactions with robots and robotic technologies, methods to enhance or enable novel forms of interaction, and the societal or organizational impacts of these interactions. The editorial team is also keen on receiving proposals for special issues that focus on specific technical challenges or that apply human-robot interaction research to further areas like social computing, consumer behavior, health, and education.
期刊最新文献
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