{"title":"研究机器人身份的状态","authors":"Lux Miranda, Ginevra Castellano, Katie Winkle","doi":"10.1145/3568294.3580168","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":36515,"journal":{"name":"ACM Transactions on Human-Robot Interaction","volume":"39 1","pages":""},"PeriodicalIF":4.2000,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Examining the State of Robot Identity\",\"authors\":\"Lux Miranda, Ginevra Castellano, Katie Winkle\",\"doi\":\"10.1145/3568294.3580168\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":36515,\"journal\":{\"name\":\"ACM Transactions on Human-Robot Interaction\",\"volume\":\"39 1\",\"pages\":\"\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2023-03-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM Transactions on Human-Robot Interaction\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3568294.3580168\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ROBOTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Transactions on Human-Robot Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3568294.3580168","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ROBOTICS","Score":null,"Total":0}
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.
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.