TY - GEN
T1 - Adaptive Visual Information Support System
AU - Yu, Weiwei
AU - Jin, Dian
AU - Zhang, Xiaokun
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Flight activities are highly dynamic operations. The adaptive system that can assist human pilots is in urgent need. Exist adaptive system structures mainly focus on enhancing the visual information of display or monitoring human state. However, the specific visual information user missed is not monitored, thus cannot achieve the information enhancement. As for adaptive system, there always exist three main decisions that need to be made: what to adapt, how to adapt and when to adapt. In this paper, a new architecture of adaptive system is proposed aiming to solve the first two questions. The proposed architecture consists of two parts, one is the tips information generating, which is used to analyze and generate the visual information that pilot didn't acquire or missed; the other is the information relation extracting, which is used to extract the relation between visual information, in order to obtain a suitable way to present the information to pilot. Finally, the output results of the former steps are put into the adaptive information alert system, which is used to integrate the outputs and represent them on the display in a proper way at a proper time, to achieve the visual information enhancement.
AB - Flight activities are highly dynamic operations. The adaptive system that can assist human pilots is in urgent need. Exist adaptive system structures mainly focus on enhancing the visual information of display or monitoring human state. However, the specific visual information user missed is not monitored, thus cannot achieve the information enhancement. As for adaptive system, there always exist three main decisions that need to be made: what to adapt, how to adapt and when to adapt. In this paper, a new architecture of adaptive system is proposed aiming to solve the first two questions. The proposed architecture consists of two parts, one is the tips information generating, which is used to analyze and generate the visual information that pilot didn't acquire or missed; the other is the information relation extracting, which is used to extract the relation between visual information, in order to obtain a suitable way to present the information to pilot. Finally, the output results of the former steps are put into the adaptive information alert system, which is used to integrate the outputs and represent them on the display in a proper way at a proper time, to achieve the visual information enhancement.
KW - Adaptive interactive system
KW - Cognition monitoring
KW - Human machine interaction
UR - http://www.scopus.com/inward/record.url?scp=85127593254&partnerID=8YFLogxK
U2 - 10.1109/DASC-PICom-CBDCom-CyberSciTech52372.2021.00084
DO - 10.1109/DASC-PICom-CBDCom-CyberSciTech52372.2021.00084
M3 - Published Conference contribution
AN - SCOPUS:85127593254
T3 - Proceedings - 2021 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing and International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2021
SP - 468
EP - 474
BT - Proceedings - 2021 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing and International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2021
T2 - 19th IEEE International Conference on Dependable, Autonomic and Secure Computing, 19th IEEE International Conference on Pervasive Intelligence and Computing, 7th IEEE International Conference on Cloud and Big Data Computing and 2021 International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2021
Y2 - 25 October 2021 through 28 October 2021
ER -