首页 /研究 /Understanding users' perception of privacy in human-robot interaction
HRI

Understanding users' perception of privacy in human-robot interaction

Min Kyung Lee, Karen Tang, Jodi Forlizzi, Sara Kiesler

发表年份
2011
引用次数
82

摘要

Previous research has shown that design features that support privacy are essential for new technologies looking to gain widespread adoption. As such, privacy-sensitive design will be important for the adoption of social robots, as they could introduce new types of privacy risks to users. In this paper, we report findings from our preliminary study on users' perceptions and attitudes toward privacy in human-robot interaction, based on interviews that we conducted about a workplace social robot.

关键词

RobotPerceptionInternet privacyComputer scienceHuman–robot interactionPrivacy by DesignHuman–computer interactionInformation privacyPrivacy softwareArtificial intelligence

相关论文

查看 HRI 分类全部论文