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

    Authors: 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.

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            The distraction effects of phone use during a crucial driving maneuver.

             Jeremy Hancock,  Nicholas L. Simmons,  O M Lesch (2003)
            Forty-two licensed drivers were tested in an experiment that required them to respond to an in-vehicle phone at the same time that they were faced with making a crucial stopping decision. Using test track facilities, we also examined the influence of driver gender and driver age on these dual-task response capacities. Each driver was given task practice and then performed a first block of 24 trials, where one trial represented one circuit of the test track. Half of the trials were control conditions in which neither the stop-light was activated nor was the in-vehicle phone triggered. Four trials required only stop-light response and a further four, phone response only. The remaining four trials required the driver to complete each task simultaneously. The order of presentation of specific trials was randomized and the whole sequence was repeated in a second block giving 48 trials per driver. In-vehicle phone response also contained an embedded memory task that was evaluated at the end of each trial circuit. Results confirmed our previous observation that in the dual-task condition there was a slower response to the light change. To compensate for this slowed response, drivers subsequently brake more intensely. Most importantly, we recorded a critical 15% increase in non-response to the stop-light in the presence of the phone distraction task which equates with increased stop-light violations on the open road. These response patterns varied by driver age and driver gender. In particular, age had a large effect on task components that required speed of response to multiple, simultaneous demands. Since driving represents a highly complex and interactive environment, it is not possible to specify a simplistic relationship between these distraction effects and outcome crash patterns. However, we can conclude that such in-vehicle technologies erode performance safety margin and distract drivers from their critical primary task of vehicle control. As such it can be anticipated that a causal relation exists to collision events. This is a crucial concern for all in-vehicle device designers and for the many safety researchers and professionals seeking to reduce the adverse impacts of vehicle collisions.
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              Author and article information

              Affiliations
              [1 ] Bournemouth University

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

              Priory Street, Coventry CV1 5FB
              Contributors
              Botao Fan
              Nan Jiang
              Huseyin Dogan
              Raian Ali
              Jianbing Ma
              Conference
              Publication date: July 2018
              Publication date (Print): July 2018
              Pages: 1-12
              ID: 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 (journal page): https://ewic.bcs.org/
              Categories
              Series title: Electronic Workshops in Computing

              Link to data:

              ScienceOpen disciplines: Applied computer science, Computer science, Security & Cryptology, Graphics & Multimedia design, General computer science, Human-computer-interaction

              Keywords: Human machine interface, Advanced driver assistance system, Driving distraction

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