TY  - CONF
EP  - 94
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016189630&doi=10.1109%2fIUSER.2016.7857940&partnerID=40&md5=b36ee0704f9863670e08c952ece933dd
A1  - Zuki, F.S.M.
A1  - Sulaiman, S.
SN  - 9781509026319
PB  - Institute of Electrical and Electronics Engineers Inc.
Y1  - 2017///
KW  - Alarm systems; Automobile drivers; Optimization; Vehicles
KW  -  Driver-warning systems; In-vehicle information system; In-vehicle warning system; Multi-modal; Multi-modality; Multiple channels; Optimum value; Visual workloads
KW  -  Audio systems
TI  - Using multimodal warning as a method of optimizing an in-vehicle warning system
ID  - scholars8829
SP  - 91
N2  - 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.
N1  - cited By 0; Conference of 4th International Conference on User Science and Engineering, i-USEr 2016 ; Conference Date: 23 August 2016 Through 25 August 2016; Conference Code:126522
AV  - none
ER  -