Conference paper
Using Cognitive Work Analysis to Inform Agent-Based Modelling of Automated Driving
Advances in Social Simulation, pp.385-390
Social Simulation Conference, 2018 (Stockholm, Sweden, 20-Aug-2018 - 24-Aug-2018)
Springer Proceedings in Complexity, Springer Nature Switzerland
2020
Abstract
Cognitive work analysis is a systems analysis framework from the field of human factors. The framework provides information about the constraints of agent behaviour that can potentially be useful for the development of agent-based models. This chapter discusses a current programme of research which aims to integrate cognitive work analysis with agent-based modelling to identify and manage emergent risks to safety associated with the introduction of automated vehicles into the road transport system. A proposed approach to the integration of the methods is described.
Details
- Title
- Using Cognitive Work Analysis to Inform Agent-Based Modelling of Automated Driving
- Authors
- Gemma J M Read (Corresponding Author) - University of the Sunshine Coast, Queensland, Centre for Human Factors and Sociotechnical SystemsPaul M Salmon (Author) - University of the Sunshine Coast, Queensland, Centre for Human Factors and Sociotechnical SystemsJason Thompson (Author) - University of Melbourne
- Contributors
- Harko Verhagen (Editor) - Stockholm UniversityMelania Borit (Editor) - The Arctic University of NorwayGiangiacomo Bravo (Editor) - Linnaeus UniversityNanda Wijermans (Editor) - Stockholm University
- Publication details
- Advances in Social Simulation, pp.385-390
- Conference details
- Social Simulation Conference, 2018 (Stockholm, Sweden, 20-Aug-2018 - 24-Aug-2018)
- Series
- Springer Proceedings in Complexity
- Publisher
- Springer Nature Switzerland
- DOI
- 10.1007/978-3-030-34127-5_38; 10.1007/978-3-030-34127-5
- ISSN
- 2213-8692
- ISBN
- 9783030341275
- Organisation Unit
- Centre for Human Factors and Sociotechnical Systems; School of Law and Society; University of the Sunshine Coast, Queensland; School of Health - Psychology
- Language
- English
- Record Identifier
- 99482304802621
- Output Type
- Conference paper
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