TY - GEN
T1 - Intuitive autonomy for real users of small unmanned aerial vehicles (sUAV)
AU - Kunde, Siya
AU - Duncan, Brittany
N1 - Funding Information:
This work is supported under grants from the National Science Foundation (NSF IIS-1638099 and NSF IIS-1750750).
Publisher Copyright:
© 2020 ACM.
PY - 2020/3/23
Y1 - 2020/3/23
N2 - Autonomous systems requiring user supervision or manual control of autonomy are becoming more prevalent in real world deployments. These systems will require transitions of control between autonomous and manual operations with users being required to both take control from and cede control to autonomy. Prior work in Human-Drone Interaction (HDI) has observed or designed for user interaction with a perfectly functioning robot, but has not looked at interactions with a robot that is about to fail. In this paper we describe results from initial work on characterizing user responses to failures in aerial autonomous systems. Ongoing and future work involves evaluating user proficiency in system operation and its impact on HDI with semi-autonomous systems. This work is novel in the context of small Unmanned Aerial Vehicles (sUAVs) and will inform sUAV autonomy designers for systems with a range of user training from search and rescue to hobbyist users through recommendations for training, necessary timelines for information sharing, and failure planning or contingency options in HDI.
AB - Autonomous systems requiring user supervision or manual control of autonomy are becoming more prevalent in real world deployments. These systems will require transitions of control between autonomous and manual operations with users being required to both take control from and cede control to autonomy. Prior work in Human-Drone Interaction (HDI) has observed or designed for user interaction with a perfectly functioning robot, but has not looked at interactions with a robot that is about to fail. In this paper we describe results from initial work on characterizing user responses to failures in aerial autonomous systems. Ongoing and future work involves evaluating user proficiency in system operation and its impact on HDI with semi-autonomous systems. This work is novel in the context of small Unmanned Aerial Vehicles (sUAVs) and will inform sUAV autonomy designers for systems with a range of user training from search and rescue to hobbyist users through recommendations for training, necessary timelines for information sharing, and failure planning or contingency options in HDI.
KW - Failure detection and recovery
KW - Human-centered automation
KW - Human-robot interaction
KW - Unmanned aerial vehicles
UR - http://www.scopus.com/inward/record.url?scp=85083205877&partnerID=8YFLogxK
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U2 - 10.1145/3371382.3377440
DO - 10.1145/3371382.3377440
M3 - Conference contribution
AN - SCOPUS:85083205877
T3 - ACM/IEEE International Conference on Human-Robot Interaction
SP - 576
EP - 578
BT - HRI 2020 - Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
PB - IEEE Computer Society
T2 - 15th Annual ACM/IEEE International Conference on Human Robot Interaction, HRI 2020
Y2 - 23 March 2020 through 26 March 2020
ER -