relation: https://khub.utp.edu.my/scholars/8829/
title: Using multimodal warning as a method of optimizing an in-vehicle warning system
creator: Zuki, F.S.M.
creator: Sulaiman, S.
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.
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2017
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Zuki, F.S.M. and Sulaiman, S.  (2017) Using multimodal warning as a method of optimizing an in-vehicle warning system.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016189630&doi=10.1109%2fIUSER.2016.7857940&partnerID=40&md5=b36ee0704f9863670e08c952ece933dd
relation: 10.1109/IUSER.2016.7857940
identifier: 10.1109/IUSER.2016.7857940