TY - GEN
T1 - A framework for human-autonomy team research
AU - Cooke, Nancy
AU - Demir, Mustafa
AU - Huang, Lixiao
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2020.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020
Y1 - 2020
N2 - On a team, autonomy must be able to work alongside human counterparts and carry out the fundamentals of teamwork and taskwork. In this paper we refer to these machine teammates as autonomy. These Human-Autonomy Teams (HATs) need to be assembled to have the appropriate roles and responsibilities and to interact in an interdependent manner. One challenge in assembling an effective Human-Autonomy Team involves doing research on human-autonomy teaming that can provide input to autonomy development BEFORE the autonomy is developed. We propose here a five-step process to doing HAT research and provide four examples of the application of this process. The five steps involve 1) knowledge elicitation to determine the essential aspects of HAT in a given domain, 2) development of a synthetic task environment with Wizard of Oz capability, 3) development of measurement strategies, 4) human subject experimentation, and 5) translation to the developers of artificial intelligence and robots that will serve as teammates.
AB - On a team, autonomy must be able to work alongside human counterparts and carry out the fundamentals of teamwork and taskwork. In this paper we refer to these machine teammates as autonomy. These Human-Autonomy Teams (HATs) need to be assembled to have the appropriate roles and responsibilities and to interact in an interdependent manner. One challenge in assembling an effective Human-Autonomy Team involves doing research on human-autonomy teaming that can provide input to autonomy development BEFORE the autonomy is developed. We propose here a five-step process to doing HAT research and provide four examples of the application of this process. The five steps involve 1) knowledge elicitation to determine the essential aspects of HAT in a given domain, 2) development of a synthetic task environment with Wizard of Oz capability, 3) development of measurement strategies, 4) human subject experimentation, and 5) translation to the developers of artificial intelligence and robots that will serve as teammates.
KW - Human-centered AI
KW - Human-robot interaction
KW - Teaming with AI
UR - http://www.scopus.com/inward/record.url?scp=85088514119&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85088514119&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-49183-3_11
DO - 10.1007/978-3-030-49183-3_11
M3 - Conference contribution
AN - SCOPUS:85088514119
SN - 9783030491826
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 134
EP - 146
BT - Engineering Psychology and Cognitive Ergonomics. Cognition and Design - 17th International Conference, EPCE 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings
A2 - Harris, Don
A2 - Li, Wen-Chin
PB - Springer
T2 - 17th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020
Y2 - 19 July 2020 through 24 July 2020
ER -