TY - GEN
T1 - The Positive Effect of User Faults over Agent Perception in Collaborative Settings and Its Use in Agent Design
AU - Asraf, Reut
AU - Rozenshtein, Chen
AU - Sarne, David
N1 - Publisher Copyright: © 2022, Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - This paper studies the effect of user’s own task-related faults over her satisfaction with a fault-prone agent in a human-agent collaborative setting. Through a series of extensive experiments we find that user faults make the user more tolerant to agent faults, and consequently more satisfied with the collaboration, in particular compared to the case where the user is performing faultlessly. This finding can be utilized for improving the design of collaborative agents. In particular, we present a proof-of-concept for such augmented design, where the agent, whenever in charge of allocating the tasks or can pick its own tasks, deliberately leave the user with a relatively difficult task for increasing the chance for a user fault, which in turn increases user satisfaction.
AB - This paper studies the effect of user’s own task-related faults over her satisfaction with a fault-prone agent in a human-agent collaborative setting. Through a series of extensive experiments we find that user faults make the user more tolerant to agent faults, and consequently more satisfied with the collaboration, in particular compared to the case where the user is performing faultlessly. This finding can be utilized for improving the design of collaborative agents. In particular, we present a proof-of-concept for such augmented design, where the agent, whenever in charge of allocating the tasks or can pick its own tasks, deliberately leave the user with a relatively difficult task for increasing the chance for a user fault, which in turn increases user satisfaction.
KW - Human-agent collaboration
KW - Human-agent interaction
KW - Intelligent user interfaces
UR - http://www.scopus.com/inward/record.url?scp=85123399649&partnerID=8YFLogxK
U2 - https://doi.org/10.1007/978-3-030-94662-3_9
DO - https://doi.org/10.1007/978-3-030-94662-3_9
M3 - منشور من مؤتمر
SN - 9783030946616
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 129
EP - 149
BT - Distributed Artificial Intelligence - 3rd International Conference, DAI 2021, Proceedings
A2 - Chen, Jie
A2 - Lang, Jérôme
A2 - Amato, Christopher
A2 - Zhao, Dengji
PB - Springer Science and Business Media Deutschland GmbH
T2 - 3rd International Conference on Distributed Artificial Intelligence, DAI 2021
Y2 - 17 December 2021 through 18 December 2021
ER -