The University of Southampton
University of Southampton Institutional Repository

What the drivers do and don’t tell you: using verbal protocol analysis to investigate driver behaviour in emergency situations

What the drivers do and don’t tell you: using verbal protocol analysis to investigate driver behaviour in emergency situations
What the drivers do and don’t tell you: using verbal protocol analysis to investigate driver behaviour in emergency situations
Although task analysis of pedestrian detection can provide us with useful insights into how a driver may behave in emergency situations, the cognitive elements of driver decision-making are less well understood. To assist in the design of future Advanced Driver Assistance Systems, such as Autonomous Emergency Brake systems, it is essential that the cognitive elements of the driving task are better understood. This paper uses verbal protocol analysis in an exploratory fashion to uncover the thought processes underlying behavioural outcomes represented by hard data collected using the Southampton University Driving Simulator.
verbal protocol analysis, pedestrian detection, qualitative data
1366-5847
332-342
Stanton, N. A.
351a44ab-09a0-422a-a738-01df1fe0fadd
Harvey, C.
c2e238f0-8525-45d8-874f-95a5986afa09
Banks, Victoria
0dbdcad0-c654-4b87-a804-6a7548d0196d
Stanton, N. A.
351a44ab-09a0-422a-a738-01df1fe0fadd
Harvey, C.
c2e238f0-8525-45d8-874f-95a5986afa09
Banks, Victoria
0dbdcad0-c654-4b87-a804-6a7548d0196d

Stanton, N. A., Harvey, C. and Banks, Victoria (2014) What the drivers do and don’t tell you: using verbal protocol analysis to investigate driver behaviour in emergency situations. [in special issue: Beyond Human-Centred Automation] Ergonomics, 57 (3), 332-342. (doi:10.1080/00140139.2014.884245).

Record type: Article

Abstract

Although task analysis of pedestrian detection can provide us with useful insights into how a driver may behave in emergency situations, the cognitive elements of driver decision-making are less well understood. To assist in the design of future Advanced Driver Assistance Systems, such as Autonomous Emergency Brake systems, it is essential that the cognitive elements of the driving task are better understood. This paper uses verbal protocol analysis in an exploratory fashion to uncover the thought processes underlying behavioural outcomes represented by hard data collected using the Southampton University Driving Simulator.

This record has no associated files available for download.

More information

Accepted/In Press date: 20 December 2013
e-pub ahead of print date: 20 February 2014
Published date: 2014
Keywords: verbal protocol analysis, pedestrian detection, qualitative data
Organisations: Transportation Group

Identifiers

Local EPrints ID: 383341
URI: http://eprints.soton.ac.uk/id/eprint/383341
ISSN: 1366-5847
PURE UUID: 5802d763-c704-4586-9266-ddf4bb56ef7a
ORCID for N. A. Stanton: ORCID iD orcid.org/0000-0002-8562-3279

Catalogue record

Date deposited: 16 Nov 2015 14:45
Last modified: 15 Mar 2024 03:33

Export record

Altmetrics

Contributors

Author: N. A. Stanton ORCID iD
Author: C. Harvey
Author: Victoria Banks

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×