The Robotics Institute

Carnegie Mellon Robotics Institute

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Abstract

One of the most significant challenges of human-robot interaction research is designing systems which foster an appropriate level of trust in their users: in order to use a robot effectively and safely, a user must place neither too little nor too much trust in the system. In order to better understand the factors which influence trust in a robot, we present a survey of prior work on trust in automated systems. We also discuss issues specific to robotics which pose chal- lenges not addressed in the automation literature, particularly related to reliability, capability, and adjustable autonomy. We conclude with the results of a preliminary web-based questionnaire which illustrate some of the biases which autonomous robots may need to overcome in order to promote trust in users

Notes

Associated Center(s) / Consortia: Vision and Autonomous Systems Center and Quality of Life Technology Center

Associated Lab(s) / Group(s): NavLab and Human-Robot Interaction Group

Associated Project(s): Understanding and Modeling Trust in Human-Robot Interactions

Text Reference

Munjal Desai, Kristen Stubbs, Aaron Steinfeld, and Holly Yanco, "Creating trustworthy robots: Lessons and inspirations from automated systems," Proceedings of the AISB Convention: New Frontiers in Human-Robot Interaction, April, 2009.

BibTeX Reference

@inproceedings{Stubbs_2009_6504,
   author = "Munjal Desai and Kristen Stubbs and Aaron Steinfeld and Holly Yanco",
   title = "Creating trustworthy robots: Lessons and inspirations from automated systems",
   booktitle = "Proceedings of the AISB Convention: New Frontiers in Human-Robot Interaction",
   month = "April",
   year = "2009",
}

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