Title :
Understanding users! Perception of privacy in human-robot interaction
Author :
Lee, Min Kyung ; Tang, Karen P. ; Forlizzi, Jodi ; Kiesler, Sara
Abstract :
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.
Keywords :
human-robot interaction; human-robot interaction; privacy sensitive design; social robots; understanding users perception; Human computer interaction; Interviews; Privacy; Robot sensing systems; Privacy; human-robot interaction; social robot; workplace robot;
Conference_Titel :
Human-Robot Interaction (HRI), 2011 6th ACM/IEEE International Conference on
Conference_Location :
Lausanne
Print_ISBN :
978-1-4673-4393-0
Electronic_ISBN :
2167-2121