Literature DB >> 19725318

Assessing effectiveness of various auditory warning signals in maintaining drivers' attention in virtual reality-based driving environments.

Chin-Teng Lin1, Tien-Ting Chiu, Teng-Yi Huang, Chih-Feng Chao, Wen-Chieh Liang, Shang-Hwa Hsu, Li-Wei Ko.   

Abstract

Drivers' fatigue contributes to traffic accidents, so drivers must maintain adequate alertness. The effectiveness of audio alarms in maintaining driving performance and characteristics of alarms was studied in a virtural reality-based driving environment. Response time to the car's drifting was measured under seven conditions: with no warnings and with continuous warning tones (500 Hz, 1750 Hz, and 3000 Hz), and with tone bursts at 500 Hz, 1750 Hz, and 3000 Hz. Analyses showed the audio warning signals significantly improved driving. Further, the tones' spectral characteristics significantly influenced the effectiveness of the warning.

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Year:  2009        PMID: 19725318     DOI: 10.2466/PMS.108.3.825-835

Source DB:  PubMed          Journal:  Percept Mot Skills        ISSN: 0031-5125


  3 in total

1.  Developing an EEG-based on-line closed-loop lapse detection and mitigation system.

Authors:  Yu-Te Wang; Kuan-Chih Huang; Chun-Shu Wei; Teng-Yi Huang; Li-Wei Ko; Chin-Teng Lin; Chung-Kuan Cheng; Tzyy-Ping Jung
Journal:  Front Neurosci       Date:  2014-10-13       Impact factor: 4.677

2.  Novel measure of driver and vehicle interaction demonstrates transient changes related to alerting.

Authors:  Justin R Brooks; Scott E Kerick; Kaleb McDowell
Journal:  J Mot Behav       Date:  2014-10-30       Impact factor: 1.328

3.  Exploration of Brain Connectivity during Human Inhibitory Control Using Inter-Trial Coherence.

Authors:  Rupesh Kumar Chikara; Wei-Cheng Lo; Li-Wei Ko
Journal:  Sensors (Basel)       Date:  2020-03-19       Impact factor: 3.576

  3 in total

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