Title :
Autonomy mode suggestions for improving human-robot interaction
Author :
Baker, Michael ; Yanco, Holly A.
Author_Institution :
Dept. of Comput. Sci., Massachusetts Univ., Lowell, MA, USA
Abstract :
Robot systems can have autonomy levels ranging from fully autonomous to teleoperated. Some systems have more than one autonomy mode that an operator can select. In studies, we have found that operators rarely change autonomy modes, even when it would improve their performance. This paper describes a method for suggesting autonomy mode changes on a robot designed for an urban search and rescue application.
Keywords :
intelligent robots; man-machine systems; mobile robots; telerobotics; collaborative control; fully-autonomous robot system; human-robot interaction; teleoperated robot system; urban search and rescue application; Cognition; Cognitive robotics; Collaboration; Computer science; Humans; Navigation; Orbital robotics; Robot sensing systems; Sonar detection; Switches;
Conference_Titel :
Systems, Man and Cybernetics, 2004 IEEE International Conference on
Print_ISBN :
0-7803-8566-7
DOI :
10.1109/ICSMC.2004.1400781
