Literature DB >> 34139373

Vibration warning design for reaction time reduction under the environment of intelligent connected vehicles.

Jingyue Zheng1, Tingru Zhang2, Liang Ma1, Yulun Wu3, Wei Zhang4.   

Abstract

Scenario-based warnings for road safety can be provided in the environment of intelligent connected vehicles via Bluetooth earphones or smart wristbands; designing an optimal means of presentation to drivers is an important point of consideration. Vibration warnings have been widely studied owing to their unique benefits. This experimental study aims to identify suitable body parts for vibration warnings during driving. The independent variables were the vibration position (three levels of stimulus, i.e., wrist, shin, and upper jaw) and response effector (two levels, i.e., hand and foot). Experiment Tasks 1 and 2 measured participants' simple reaction time and choice reaction time, respectively, when providing vibration warnings in non-driving situations. The results demonstrate that the vibration on the upper jaw has the shortest simple reaction time and choice reaction time. The effect of stimulus-response consistency on choice reaction time was insignificant. Task 3 was similar to Task 2, with the exception of simulated driving. Compared to the result in Task 2, the choice reaction time in Task 3 was approximately 200 ms longer. Vibration of the upper jaw was reported to have the highest perceived intensity and preference. Based on the study results, the design implications for wearable vibration warnings of collision avoidance systems are presented.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Choice reaction time; Connected vehicles; Response effector; Stimulus-response compatibility; Vibration positions; Vibration warnings

Year:  2021        PMID: 34139373     DOI: 10.1016/j.apergo.2021.103490

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


  1 in total

1.  Evaluation of Multimodal and Multi-Staged Alerting Strategies for Forward Collision Warning Systems.

Authors:  Jun Ma; Jiateng Li; Hongwei Huang
Journal:  Sensors (Basel)       Date:  2022-02-04       Impact factor: 3.576

  1 in total

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