Literature DB >> 28802430

Digital, analogue, or redundant speedometers for truck driving: Impact on visual distraction, efficiency and usability.

Mathilde François1, Philippe Crave2, François Osiurak3, Alexandra Fort4, Jordan Navarro5.   

Abstract

Existing literature does not draw conclusions as to which speedometer type is better for truck driving. A digital speedometer would be more beneficial when obtaining absolute and relative readings, while an analogue speedometer would be more efficient and less distracting when detecting dynamic speed changes. Redundant speedometers, which simultaneously present digital and analogue speedometers, appear increasingly in vehicles, but no information is available on their ergonomic qualities. This study compared three speedometers: digital speedometers, analogue speedometers, and redundant speedometers. This study compared the efficiency, usability and visual distraction measures for all three types of speedometers in a simulated truck driving setting. The task-dependant results were confirmed for the digital and analogue speedometer. The redundant speedometer combined the benefits of each type presented separately, which highlights interesting theoretical and applied implications.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Keywords:  Redundant displays; Speedometer design; Truck interface

Mesh:

Year:  2017        PMID: 28802430     DOI: 10.1016/j.apergo.2017.05.013

Source DB:  PubMed          Journal:  Appl Ergon        ISSN: 0003-6870            Impact factor:   3.661


  3 in total

1.  Identifying the Causes of Drivers' Hazardous States Using Driver Characteristics, Vehicle Kinematics, and Physiological Measurements.

Authors:  Ali Darzi; Sherif M Gaweesh; Mohamed M Ahmed; Domen Novak
Journal:  Front Neurosci       Date:  2018-08-14       Impact factor: 4.677

2.  Usability Challenges for Health and Wellness Mobile Apps: Mixed-Methods Study Among mHealth Experts and Consumers.

Authors:  Mei Shan Liew; Jian Zhang; Jovis See; Yen Leng Ong
Journal:  JMIR Mhealth Uhealth       Date:  2019-01-30       Impact factor: 4.773

3.  Analysis of Relationship between Electroencephalograms and Subjective Measurements for In-Vehicle Information System: A Preliminary Study.

Authors:  Nahyeong Kim; Mungyeong Choe; Jaehyun Park; Jungchul Park; Hyun K Kim; Jungyoon Kim; Muhammad Hussain; Suhwan Jung
Journal:  Int J Environ Res Public Health       Date:  2021-11-19       Impact factor: 3.390

  3 in total

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