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Modeling Driver Behavior in a Cognitive Architecture期刊论文

作者: Salvucci Dario D

页码: 362-380
被引频次: 200
出版者: Human Factors and Ergonomics Society,SAGE Publications,HUMAN FACTORS SOC
ISSN: 0018-7208
卷期: Volume:48    Issue:2
语言: English
摘要: Objective: This paper explores the development of a rigorous computational model of driver behavior in a cognitive architecture - a computational framework with underlying psychological theories that incorporate basic properties and limitations of the human system. Background: Computational modeling has emerged as a powerful tool for studying the complex task of driving, allowing researchers to simulate driver behavior and explore the parameters and constraints of this behavior. Method: An integrated driver model developed in the ACT-R (Adaptive Control of Thought-Rational) cognitive architecture is described that focuses on the component processes of control, monitoring, and decision making in a multilane highway environment. Results: This model accounts for the steering profiles, lateral position profiles, and gaze distributions of human drivers during lane keeping, curve negotiation, and lane changing. Conclusion: The model demonstrates how cognitive architectures facilitate understanding of driver behavior in the context of general human abilities and constraints and how the driving domain benefits cognitive architectures by pushing model development toward more complex, realistic tasks. Application: The model can also serve as a core computational engine for practical applications that predict and recognize driver behavior and distraction.
相关主题: INTEGRATED DRIVER MODEL, DRIVER DISTRACTION, TASK, VISION, PERFORMANCE, PSYCHOLOGY, APPLIED, INTERACTIVE BEHAVIOR, STEERING BEHAVIOR, ERGONOMICS, FLOW, PSYCHOLOGY, MEMORY, BEHAVIORAL SCIENCES, SELECTION, COMPUTATIONAL THEORY, Models, Psychological, Automobile Driving - psychology, Cognition, United States, Humans, Psychological aspects, Models, Research, Automobile driving, Motor vehicle driving, Components, Cognition & reasoning, Decision making, Research & developmentR&D, Psychology, Computer based modeling, Vehicles,






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