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Effects of a Background Arrangement on Collision-Prediction Accuracy for Approaching Objects

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Advances in Human Aspects of Transportation (AHFE 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1212))

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Abstract

This study implemented virtual environment technology to examine how the spacing and height characteristics of a column-type background arrangement affected collision-prediction accuracy for an approaching object set in vast virtual space. Participants were divided into two groups for testing, including the “safety-oriented type” and “accurate judgment type.” Results showed that participants in the safety-oriented type group tended to make collision/non-collision judgments at earlier stages, when columns were higher and more narrow. On the other hand, subjects in the “accurate judgment type” group tended to make accurate collision judgements at later stages (i.e., as column spacing increased).

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Acknowledgments

This research was supported by JSPS KAKENHI Grant Number JP17H03359.

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Correspondence to Yohsuke Yoshioka .

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Yoshioka, Y., Tanaka, H. (2020). Effects of a Background Arrangement on Collision-Prediction Accuracy for Approaching Objects. In: Stanton, N. (eds) Advances in Human Aspects of Transportation. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1212. Springer, Cham. https://doi.org/10.1007/978-3-030-50943-9_31

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  • DOI: https://doi.org/10.1007/978-3-030-50943-9_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-50942-2

  • Online ISBN: 978-3-030-50943-9

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