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

Fan, B., Jiang, N., Dogan, H., Jianbing, M. and Ali, R., 2018. An Ontological Approach to Inform HMI Designs for Minimizing Driver Distractions with ADAS. In: The 32nd Human Computer Interaction Conference (British HCI'18), 2-6 July 2018, Belfast.

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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.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Advanced driver assistance system; Driving distraction; Human machine interface
Group:Faculty of Science & Technology
ID Code:30956
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:09 Jul 2018 09:14
Last Modified:19 Sep 2018 14:38

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