Multitasking Driver Cognitive Behavior Modeling

Author

Liu, Yanfei ; Wu, Zhaohui

Author_Institution

Coll. of Comput. Sci. & Technol., Zhejiang Univ., Hangzhou

fYear

2006

fDate

Sept. 2006

Firstpage

52

Lastpage

57

Abstract

In order to process multitasking driver behavior effectively, an improved driver cognitive behavior modeling method of ACT-R is proposed in this paper. The manual module and visual module of ACT-R are concatenated directly to cope with human subconscious/unconscious behavior. A parallel processing method is proposed to mimic the parallel reactions style of a given cerebral area of human brain´s reaction to the physical characteristics of the stimulus. Drive behavior assorting and risk level ranking method are applied to improve the model´s executive efficiency. The results of the software simulation show that the improvements of the ACT-R cognitive architecture are efficient and flexible

Keywords

behavioural sciences computing; cognition; parallel processing; ACT-R; cognitive architecture; drive behavior assorting; driver cognitive behavior modeling; multitasking; parallel processing; risk level ranking; Analytical models; Cognition; Computational modeling; Computer architecture; Educational institutions; Humans; Monitoring; Multitasking; Psychology; Traffic control; ACT-R; Cognitive architecture; Modeling of driver behavior; Multitasking;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems, 2006 3rd International IEEE Conference on

Conference_Location

London

Print_ISBN

1-4244-01996-8

Electronic_ISBN

1-4244-01996-8

Type

conf

DOI

10.1109/IS.2006.348393

Filename

4155400