TY - GEN
T1 - Modeling the Dynamic Visual Attention Resource Allocation in Cockpit with Discrete Event Simulation
AU - Liang, Chaoran
AU - Liu, Shuang
AU - Wanyan, Xiaoru
AU - Chen, Hao
AU - Min, Yuchen
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - In various flight tasks, reasonable attention resource allocation is of great significance for pilot to obtain flight information timely and accurately. In this study, we presented a method for modeling pilot’s dynamic visual attention allocation with discrete event simulation. Firstly, a detailed task analysis served as the basis for the task network modeling. Then, the attentional attributes were assigned to different area of interests (AOIs) for each task unit through lowest ordinal algorithm. Finally, a stochastic dynamic simulation model was applied to compute the dynamic distribution of attention resource with the workflow. Twenty-four participants flew a simulation task in a high-fidelity Boeing 737–800 flight simulator to verify the model. The results suggested that the proposed computational model had a good fit of the experiments. This model can be served as an auxiliary design tool in the cockpit early design stages.
AB - In various flight tasks, reasonable attention resource allocation is of great significance for pilot to obtain flight information timely and accurately. In this study, we presented a method for modeling pilot’s dynamic visual attention allocation with discrete event simulation. Firstly, a detailed task analysis served as the basis for the task network modeling. Then, the attentional attributes were assigned to different area of interests (AOIs) for each task unit through lowest ordinal algorithm. Finally, a stochastic dynamic simulation model was applied to compute the dynamic distribution of attention resource with the workflow. Twenty-four participants flew a simulation task in a high-fidelity Boeing 737–800 flight simulator to verify the model. The results suggested that the proposed computational model had a good fit of the experiments. This model can be served as an auxiliary design tool in the cockpit early design stages.
KW - Attention distribution
KW - Task network modeling
KW - Visual attention
UR - https://www.scopus.com/pages/publications/85112149896
U2 - 10.1007/978-3-030-80091-8_80
DO - 10.1007/978-3-030-80091-8_80
M3 - 会议稿件
AN - SCOPUS:85112149896
SN - 9783030800901
T3 - Lecture Notes in Networks and Systems
SP - 676
EP - 684
BT - Advances in Usability, User Experience, Wearable and Assistive Technology - Proceedings of the AHFE 2021 Virtual Conferences on Usability and User Experience, Human Factors and Wearable Technologies, Human Factors in Virtual Environments and Game Design, and Human Factors and Assistive Technology, 2021
A2 - Ahram, Tareq Z.
A2 - Falcão, Christianne S.
PB - Springer Science and Business Media Deutschland GmbH
T2 - AHFE Conferences on Usability and User Experience, Human Factors and Wearable Technologies, Human Factors in Virtual Environments and Game Design, and Human Factors and Assistive Technology, 2021
Y2 - 25 July 2021 through 29 July 2021
ER -