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

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.

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

DOI: 10.14236/ewic/HCI2018.33

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: 1477-9358 BCS 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