Literature DB >> 20801188

Cognitive processing of traffic signs in immersive virtual reality environment: An ERP study.

Baolin Liu1, Zhongning Wang, Guanjun Song, Guangning Wu.   

Abstract

The virtual reality environment can provide an immersive feeling as in the real word. So, using virtual reality technology to construct realistic experimental scenarios, the mechanism of cognitive processing in the human brain could be better studied. In this paper, we have designed an experiment, where through the presentation of traffic signs with correct or incorrect background colors in a virtual reality traffic environment, and studied the cognitive processing in the human brain using event-related potential (ERP) method. The results showed that whether the background colors of traffic signs were correct or not, the degrees of familiarity to these traffic signs in the human brain were similar, and the degree of contrast between the background colors and foreground colors of traffic signs would influence the degree of difficulty in cognitive processing. The degree of complexity in contents of traffic signs appears related to the cognitive speed in the human brain. In sum, simpler contents and larger contrast between the background colors and foreground colors of traffic signs would make the human brain respond faster.
Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID: 20801188     DOI: 10.1016/j.neulet.2010.08.059

Source DB:  PubMed          Journal:  Neurosci Lett        ISSN: 0304-3940            Impact factor:   3.046


  4 in total

1.  Steering a tractor by means of an EMG-based human-machine interface.

Authors:  Jaime Gomez-Gil; Israel San-Jose-Gonzalez; Luis Fernando Nicolas-Alonso; Sergio Alonso-Garcia
Journal:  Sensors (Basel)       Date:  2011-07-11       Impact factor: 3.576

2.  Study on the Relationship between Drivers' Personal Characters and Non-Standard Traffic Signs Comprehensibility.

Authors:  Antoni Wontorczyk; Stanislaw Gaca
Journal:  Int J Environ Res Public Health       Date:  2021-03-07       Impact factor: 3.390

3.  Analysis of Traffic Signs Information Volume Affecting Driver's Visual Characteristics and Driving Safety.

Authors:  Lei Han; Zhigang Du; Shoushuo Wang; Ying Chen
Journal:  Int J Environ Res Public Health       Date:  2022-08-19       Impact factor: 4.614

4.  Haptic, Virtual Interaction and Motor Imagery: Entertainment Tools and Psychophysiological Testing.

Authors:  Sara Invitto; Chiara Faggiano; Silvia Sammarco; Valerio De Luca; Lucio T De Paolis
Journal:  Sensors (Basel)       Date:  2016-03-18       Impact factor: 3.576

  4 in total

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