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A human factors approach to enhanced machine learning in cars
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Smyth, Joseph, Birrell, Stewart A., Birek, Lech, Kobylinski, Kris, Mouzakitis, Alexandros and Jennings, P. A. (Paul A.) (2017) A human factors approach to enhanced machine learning in cars. In: Institute of Ergonomics and Human Factors annual conference 2017, Daventry, UK, 25-27 Apr 2017. Published in: Contemporary Ergonomics and Human Factors 2017 pp. 279-286. ISBN 978157207622.
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WRAP-human-factors-approach-enhanced-machine-learning-cars-Smyth-2018.pdf - Accepted Version Embargoed item. Restricted access to Repository staff only - Requires a PDF viewer. Download (608Kb) |
Official URL: https://publications.ergonomics.org.uk/uploads/A-H...
Abstract
Using machine learning techniques, it is possible to learn and subsequently automate certain driver-focused features in consumer vehicles. A human factors approach is taken to review current machine learning systems. Subsequently, it is found that current methods used for machine learning involve long learning times and might not be sufficient to grasp a true understanding of interaction, routine and feature use - a new method is proposed. Issues surrounding trust and acceptance in automation are also explored and recommendations made.
Item Type: | Conference Item (Paper) | ||||||
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||
Journal or Publication Title: | Contemporary Ergonomics and Human Factors 2017 | ||||||
ISBN: | 978157207622 | ||||||
Official Date: | 2017 | ||||||
Dates: |
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Page Range: | pp. 279-286 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||
Date of first compliant deposit: | 3 July 2018 | ||||||
Conference Paper Type: | Paper | ||||||
Title of Event: | Institute of Ergonomics and Human Factors annual conference 2017 | ||||||
Type of Event: | Conference | ||||||
Location of Event: | Daventry, UK | ||||||
Date(s) of Event: | 25-27 Apr 2017 | ||||||
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