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Human factors considerations in the design and development of highly automated driving systems

Human factors considerations in the design and development of highly automated driving systems
Human factors considerations in the design and development of highly automated driving systems
Increasing levels of automation within the driving task has seen the driver’s role change from an active operator to one of a passive monitor. However, systems design has been plagued by criticism for failing to acknowledge the new role of the driver within the system network. To further our understanding of the driver’s role within an automated driving system, the theory of Distributed Cognition was adopted. Distributed Cognition provides a useful framework for the investigation of task partitioning between multiple system agents. A novel Systems Design Framework has been developed as part of this thesis that utilises both qualitative and quantitative research methodologies within the Distributed Cognition paradigm. The framework is divided into two phases, the first phase requires an understanding of how individual system agents function to create models that show how these components share information using Operator Sequence Diagrams whilst empirical methods were used to validate these models in the second phase (e.g. Verbal Protocol Analysis and Network Analysis). These extension methodologies were useful in highlighting a number of design weaknesses, beyond the modelled technological components, that required modification to improve overall system design. The Systems Design Framework has been successfully applied to assist Systems Engineers with a foundation to design and conduct research into the human factors implications of different levels of automation within driving.
Banks, Victoria
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Banks, Victoria
0dbdcad0-c654-4b87-a804-6a7548d0196d
Stanton, Neville
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Banks, Victoria (2016) Human factors considerations in the design and development of highly automated driving systems. University of Southampton, Faculty of Engineering and the Environment, Doctoral Thesis, 199pp.

Record type: Thesis (Doctoral)

Abstract

Increasing levels of automation within the driving task has seen the driver’s role change from an active operator to one of a passive monitor. However, systems design has been plagued by criticism for failing to acknowledge the new role of the driver within the system network. To further our understanding of the driver’s role within an automated driving system, the theory of Distributed Cognition was adopted. Distributed Cognition provides a useful framework for the investigation of task partitioning between multiple system agents. A novel Systems Design Framework has been developed as part of this thesis that utilises both qualitative and quantitative research methodologies within the Distributed Cognition paradigm. The framework is divided into two phases, the first phase requires an understanding of how individual system agents function to create models that show how these components share information using Operator Sequence Diagrams whilst empirical methods were used to validate these models in the second phase (e.g. Verbal Protocol Analysis and Network Analysis). These extension methodologies were useful in highlighting a number of design weaknesses, beyond the modelled technological components, that required modification to improve overall system design. The Systems Design Framework has been successfully applied to assist Systems Engineers with a foundation to design and conduct research into the human factors implications of different levels of automation within driving.

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Victoria Banks_EngD Thesis 2016.pdf - Other
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More information

Published date: May 2016
Organisations: University of Southampton, Transportation Group

Identifiers

Local EPrints ID: 397266
URI: https://eprints.soton.ac.uk/id/eprint/397266
PURE UUID: 4f59dc4c-74ad-4f0b-9d04-02cca22ac286
ORCID for Neville Stanton: ORCID iD orcid.org/0000-0002-8562-3279

Catalogue record

Date deposited: 13 Jul 2016 14:07
Last modified: 19 Jun 2019 00:33

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