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      An Ontological Approach to Inform HMI Designs for Minimising Driver Distractions with ADAS

      proceedings-article
      Author(s): 1 , 1 , 1 , 1 , 2
      Publication date (Print):
      Conference name: Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI)
      Conference theme: Human Computer Interaction Conference
      Conference date: 4 - 6 July 2018
      Keywords: Advanced driver assistance system, Driving distraction, Human machine interface
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            Abstract

            ADAS (Advanced Driver Assistance Systems) are in-vehicle systems designed to enhance driving safety and efficiency as well as comfort for drivers in the driving process. Recent studies have noticed that when Human Machine Interface (HMI) is not designed properly, an ADAS can cause distraction which would affect its usage and even lead to safety issues. Current understanding of these issues is limited to the context-dependent nature of such systems. This paper reports the development of a holistic conceptualisation of how drivers interact with ADAS and how such interaction could lead to potential distraction. This is done taking an ontological approach to contextualise the potential distraction, driving tasks and user interactions centred on the use of ADAS. Example scenarios are also given to demonstrate how the developed ontology can be used to deduce rules for identifying distraction from ADAS and informing future designs.

            Content

            Author and article information

            Contributors
            Botao Fan
            Nan Jiang
            Huseyin Dogan
            Raian Ali
            Jianbing Ma
            Conference
            Publication date: July 2018
            Publication date (Print): July 2018
            Pages: 1-12
            Affiliations
            [1 ] Bournemouth University

            Fern Barrow, Poole BH12 5BB
            [2 ] Coventry University

            Priory Street, Coventry CV1 5FB
            Article
            DOI: 10.14236/ewic/HCI2018.33
            SO-VID: bd929bad-4654-496a-ab31-a72298a0ed3e
            Copyright statement: © Fan et al. Published by BCS Learning and Development Ltd. Proceedings of British HCI 2018. Belfast, UK.
            License:

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            Conference name: Proceedings of the 32nd International BCS Human Computer Interaction Conference
            Conference acronym: HCI
            Conference number: 32
            Conference location: Belfast, UK
            Conference date: 4 - 6 July 2018
            Conference sponsor: Electronic Workshops in Computing (eWiC)
            Conference theme: Human Computer Interaction Conference
            Product
            Product Information: 1477-9358BCS Learning & Development
            Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/HCI2018.33
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Series title: Electronic Workshops in Computing

            ScienceOpen disciplines: Applied computer science,Computer science,Security & Cryptology,Graphics & Multimedia design,General computer science,Human-computer-interaction
            Keywords: Driving distraction,Advanced driver assistance system,Human machine interface

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