Modelling the hare and the tortoise: predicting the range of in-vehicle task times using critical path analysis
Modelling the hare and the tortoise: predicting the range of in-vehicle task times using critical path analysis
Analytic models can enable predictions about important aspects of the usability of in-vehicle information systems (IVIS) to be made at an early stage of the product development process. Task times provide a quantitative measure of user performance and are therefore important in the evaluation of IVIS usability. In this study, critical path analysis (CPA) was used to model IVIS task times in a stationary vehicle, and the technique was extended to produce predictions for slowperson and fastperson performance, as well as average user (middleperson) performance. The CPA-predicted task times were compared to task times recorded in an empirical simulator study of IVIS interaction, and the predicted times were, on average, within acceptable precision limits. This work forms the foundation for extension of the CPA model to predict IVIS task times in a moving vehicle, to reflect the demands of the dual-task driving scenario.
16-33
Harvey, Catherine
0c9f6f30-5041-40ce-94b4-7e6a1767d26d
Stanton, Neville A.
351a44ab-09a0-422a-a738-01df1fe0fadd
2013
Harvey, Catherine
0c9f6f30-5041-40ce-94b4-7e6a1767d26d
Stanton, Neville A.
351a44ab-09a0-422a-a738-01df1fe0fadd
Harvey, Catherine and Stanton, Neville A.
(2013)
Modelling the hare and the tortoise: predicting the range of in-vehicle task times using critical path analysis.
Ergonomics, 56 (1), .
(doi:10.1080/00140139.2012.733031).
Abstract
Analytic models can enable predictions about important aspects of the usability of in-vehicle information systems (IVIS) to be made at an early stage of the product development process. Task times provide a quantitative measure of user performance and are therefore important in the evaluation of IVIS usability. In this study, critical path analysis (CPA) was used to model IVIS task times in a stationary vehicle, and the technique was extended to produce predictions for slowperson and fastperson performance, as well as average user (middleperson) performance. The CPA-predicted task times were compared to task times recorded in an empirical simulator study of IVIS interaction, and the predicted times were, on average, within acceptable precision limits. This work forms the foundation for extension of the CPA model to predict IVIS task times in a moving vehicle, to reflect the demands of the dual-task driving scenario.
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Published date: 2013
Organisations:
Transportation Group
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Local EPrints ID: 346901
URI: http://eprints.soton.ac.uk/id/eprint/346901
ISSN: 1366-5847
PURE UUID: 3bee573c-295d-4aa0-bc6d-6b9058779738
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Date deposited: 17 Jan 2013 14:17
Last modified: 15 Mar 2024 03:33
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Author:
Catherine Harvey
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