TY - GEN
T1 - Analysis of Resilient Behavior for Interaction Design
AU - Yoshida, Haruka
AU - Ikeda, Taiki
AU - Karikawa, Daisuke
AU - Aoyama, Hisae
AU - Kanno, Taro
AU - Toriizuka, Takashi
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - In recent years, the impact of the resilience of workers has been widely recognized in dealing with unexpected system behavior and unknown situations to safely operate complex socio-technical systems such as aviation, railroad, medical, and nuclear plants. Resilience coping flexibly with novel events and avoiding failures or worst-case scenarios is concretely defined as four-resilience potential (RP), which are responding, monitoring, learning, and anticipating. In this research, we aim to realize a human-system interaction to support the improvement of RP of workers. As the first step, we conducted a cognitive experiment to characterize workers' RP when they must respond to a significant situation change. In the experiment, we classified participants into two groups: an HS group with high Non-Technical Skill (NTS) and an LS group with low NTS. The results revealed the following: (1) The correlation between NTS and task performance is low under normal conditions, (2) In an emergency when significant changes in circumstances occur, the HS group may have relatively higher RP than the LS group, and (3) The HS group always tends to perform tasks with an awareness of the target values and a detailed understanding of the situation. These characteristics of the HS group may contribute to demonstrating resilient performance.
AB - In recent years, the impact of the resilience of workers has been widely recognized in dealing with unexpected system behavior and unknown situations to safely operate complex socio-technical systems such as aviation, railroad, medical, and nuclear plants. Resilience coping flexibly with novel events and avoiding failures or worst-case scenarios is concretely defined as four-resilience potential (RP), which are responding, monitoring, learning, and anticipating. In this research, we aim to realize a human-system interaction to support the improvement of RP of workers. As the first step, we conducted a cognitive experiment to characterize workers' RP when they must respond to a significant situation change. In the experiment, we classified participants into two groups: an HS group with high Non-Technical Skill (NTS) and an LS group with low NTS. The results revealed the following: (1) The correlation between NTS and task performance is low under normal conditions, (2) In an emergency when significant changes in circumstances occur, the HS group may have relatively higher RP than the LS group, and (3) The HS group always tends to perform tasks with an awareness of the target values and a detailed understanding of the situation. These characteristics of the HS group may contribute to demonstrating resilient performance.
KW - Cognitive Psychology Experiment
KW - Interaction Design
KW - Resilience Potential
UR - http://www.scopus.com/inward/record.url?scp=85171327427&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-35132-7_13
DO - 10.1007/978-3-031-35132-7_13
M3 - Conference contribution
AN - SCOPUS:85171327427
SN - 9783031351310
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 182
EP - 195
BT - Human Interface and the Management of Information - Thematic Area, HIMI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings
A2 - Mori, Hirohiko
A2 - Asahi, Yumi
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Human Interface and the Management of Information, HIMI 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023
Y2 - 23 July 2023 through 28 July 2023
ER -