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

Abstract

DAS (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.

Document type: Conference object

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The different versions of the original document can be found in:

• https://www.scienceopen.com/document_file/7158ffcc-fd07-411d-a212-8f60284b7b6a/ScienceOpen/BHCI-2018_Fan.pdf under the license https://creativecommons.org/licenses/by

• http://eprints.bournemouth.ac.uk/30956,

https://academic.microsoft.com/#/detail/2901013762 under the license cc-by

• https://scienceopen.com/document?vid=bd929bad-4654-496a-ab31-a72298a0ed3e,

http://dx.doi.org/10.14236/ewic/hci2018.33

under the license http://creativecommons.org/licenses/by/4.0/