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Research knows best, but how to communicate distraction measures practically in an industrial context
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Geitner, Claudia, Birrell, Stewart A., Skrypchuk, Lee, Biondi , Francesco and Jennings, P. A. (Paul A.) (2017) Research knows best, but how to communicate distraction measures practically in an industrial context. In: 5th International Conference on Driver Distraction and Inattention, Paris, France, 20-22 Mar 2017. Published in: Driver Distraction and Inattention Conference Proceedings 2017
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Official URL: http://ifsttar.fr/collections/ActesInteractifs/AII...
Abstract
Selection and comparison of human-factors related measures for evaluations of in-vehicle
devices involves weighting of multiple criteria. It may result in a complex decision-making process for the
practitioner, specifically in a time pressured industrial context. Visual information seeking has
successfully been applied to reduce the complexity of datasets in healthcare and other fields. Information
is presented visually and divided in ‘Overview’, representing the data by its characteristic criteria, and
‘Details’, which are presented on demand. This division reduces information load for the user and eases
comparison based on characteristics. This project, first, aims to understand what criteria practitioners use
to decide about the suitability of a measure for an in-vehicle evaluation. Secondly, criteria practitioners use
to select measures are implemented in a new interface approach based on methods of visual information
seeking to support users in the selection and comparison of human-factors related measures for in-vehicle
evaluations. Overall, the interface exposes practitioners to new measures, enables them to rapidly compare
measures, and obtain information to practically apply them
Item Type: | Conference Item (Paper) | ||||||
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Subjects: | Q Science > QA Mathematics T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||
Library of Congress Subject Headings (LCSH): | Information visualization , Visual analytics , Visual communication, Signs and symbols, Mobile communication systems | ||||||
Journal or Publication Title: | Driver Distraction and Inattention Conference Proceedings 2017 | ||||||
Official Date: | 2017 | ||||||
Dates: |
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Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||
Date of first compliant deposit: | 4 April 2017 | ||||||
Date of first compliant Open Access: | 6 April 2017 | ||||||
Funder: | Engineering and Physical Sciences Research Council (EPSRC), Jaguar Land Rover (Firm), Warwick Manufacturing Group | ||||||
Conference Paper Type: | Paper | ||||||
Title of Event: | 5th International Conference on Driver Distraction and Inattention | ||||||
Type of Event: | Conference | ||||||
Location of Event: | Paris, France | ||||||
Date(s) of Event: | 20-22 Mar 2017 | ||||||
Related URLs: |
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