TY - GEN
T1 - Adaptation in Human-Autonomy Teamwork
AU - Sycara, Katia
AU - Hughes, Dana
AU - Li, Huao
AU - Lewis, Michael
AU - Lauharatanahirun, Nina
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/9
Y1 - 2020/9
N2 - With the development of AI technology, intelligent agents are expected to team with humans and adapt to their teammates in changing environments, as effective human team members would do. As an initial step towards adaptive agents, the present study examined individual's adaptive actions in a cooperative task. By analyzing the performance when participants paired with different partners, we were able to identify adaptations and isolate individual contributions to team performance. It is shown that the team performance is determined by factors at both individual and team levels. Using subjective similarity data collected on Amazon Mechanical Turk, we constructed high-dimensional embeddings of similarity distance between team trajectories. Results showed that team members who adapted most led to improved team performance. In current experiments we are extending our approach to examine the relation between teammate-likeness, sensitivity to social risk and performance in human-Agent teams.
AB - With the development of AI technology, intelligent agents are expected to team with humans and adapt to their teammates in changing environments, as effective human team members would do. As an initial step towards adaptive agents, the present study examined individual's adaptive actions in a cooperative task. By analyzing the performance when participants paired with different partners, we were able to identify adaptations and isolate individual contributions to team performance. It is shown that the team performance is determined by factors at both individual and team levels. Using subjective similarity data collected on Amazon Mechanical Turk, we constructed high-dimensional embeddings of similarity distance between team trajectories. Results showed that team members who adapted most led to improved team performance. In current experiments we are extending our approach to examine the relation between teammate-likeness, sensitivity to social risk and performance in human-Agent teams.
UR - http://www.scopus.com/inward/record.url?scp=85093986384&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85093986384&partnerID=8YFLogxK
U2 - 10.1109/ICHMS49158.2020.9209410
DO - 10.1109/ICHMS49158.2020.9209410
M3 - Conference contribution
AN - SCOPUS:85093986384
T3 - Proceedings of the 2020 IEEE International Conference on Human-Machine Systems, ICHMS 2020
BT - Proceedings of the 2020 IEEE International Conference on Human-Machine Systems, ICHMS 2020
A2 - Fortino, Giancarlo
A2 - Wang, Fei-Yue
A2 - Nurnberger, Andreas
A2 - Kaber, David
A2 - Falcone, Rino
A2 - Mendonca, David
A2 - Yu, Zhiwen
A2 - Guerrieri, Antonio
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st IEEE International Conference on Human-Machine Systems, ICHMS 2020
Y2 - 7 September 2020 through 9 September 2020
ER -