Using multimodal warning as a method of optimizing an in-vehicle warning system

The use of multimodality in warning systems has proven to be more effective than any unimodal warning systems, as it lowers the visual workload and provides multiple channels in alerting users. Unfortunately, uni modality is found to be most commonly practiced in warning systems, instead. Literature...

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Main Authors: Zuki, F.S.M., Sulaiman, S.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.20130 /
Published: Institute of Electrical and Electronics Engineers Inc. 2017
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016189630&doi=10.1109%2fIUSER.2016.7857940&partnerID=40&md5=b36ee0704f9863670e08c952ece933dd
http://eprints.utp.edu.my/20130/
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spelling utp-eprints.201302018-04-22T14:42:10Z Using multimodal warning as a method of optimizing an in-vehicle warning system Zuki, F.S.M. Sulaiman, S. The use of multimodality in warning systems has proven to be more effective than any unimodal warning systems, as it lowers the visual workload and provides multiple channels in alerting users. Unfortunately, uni modality is found to be most commonly practiced in warning systems, instead. Literature suggests that audio and haptic multimodal warning systems is the most suitable to be implemented in in-vehicle warning systems. This paper discusses on the optimization of audio and haptic warning systems for fatigue drivers. Scenarios on different causes of fatigue while driving are drafted and possible responses to the causes are proposed. This paper also proposes a study to find the optimum values for the combination of levels presented in parameters of dB and Hz in order to optimize the fatigue driver warning systems. © 2016 IEEE. Institute of Electrical and Electronics Engineers Inc. 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016189630&doi=10.1109%2fIUSER.2016.7857940&partnerID=40&md5=b36ee0704f9863670e08c952ece933dd Zuki, F.S.M. and Sulaiman, S. (2017) Using multimodal warning as a method of optimizing an in-vehicle warning system. Proceedings - 2016 4th International Conference on User Science and Engineering, i-USEr 2016 . pp. 91-94. http://eprints.utp.edu.my/20130/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description The use of multimodality in warning systems has proven to be more effective than any unimodal warning systems, as it lowers the visual workload and provides multiple channels in alerting users. Unfortunately, uni modality is found to be most commonly practiced in warning systems, instead. Literature suggests that audio and haptic multimodal warning systems is the most suitable to be implemented in in-vehicle warning systems. This paper discusses on the optimization of audio and haptic warning systems for fatigue drivers. Scenarios on different causes of fatigue while driving are drafted and possible responses to the causes are proposed. This paper also proposes a study to find the optimum values for the combination of levels presented in parameters of dB and Hz in order to optimize the fatigue driver warning systems. © 2016 IEEE.
format Article
author Zuki, F.S.M.
Sulaiman, S.
spellingShingle Zuki, F.S.M.
Sulaiman, S.
Using multimodal warning as a method of optimizing an in-vehicle warning system
author_sort Zuki, F.S.M.
title Using multimodal warning as a method of optimizing an in-vehicle warning system
title_short Using multimodal warning as a method of optimizing an in-vehicle warning system
title_full Using multimodal warning as a method of optimizing an in-vehicle warning system
title_fullStr Using multimodal warning as a method of optimizing an in-vehicle warning system
title_full_unstemmed Using multimodal warning as a method of optimizing an in-vehicle warning system
title_sort using multimodal warning as a method of optimizing an in-vehicle warning system
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016189630&doi=10.1109%2fIUSER.2016.7857940&partnerID=40&md5=b36ee0704f9863670e08c952ece933dd
http://eprints.utp.edu.my/20130/
_version_ 1741196322816393216
score 11.62408

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