ReAR - A Peripheral Indicator for Rear-Approaching Vehicles While Cycling

Guanghan Zhao, Xiaodan Hu, Jason Orlosky, Kiyoshi Kiyokawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

In this article, we present the ReAR Indicator, a peripheral information delivery approach that enhances awareness of rear-approaching vehicles while preserving forward vision. ReAR uses computer vision applied to a rear-facing RGB-D camera and combines it with data from a head mounted display for real-time vehicle detection and delivers information to the periphery such that the user can simultaneously view forward information but still use cues that provide information about the backward. Results from a virtual reality based experiment with 20 participants showed that the ReAR Indicator helped cyclists maintain a forward focus while still avoiding collisions with rear-approaching vehicles and in some conditions either matched or outperformed 3D arrows and virtual monitors.

Original languageEnglish (US)
Title of host publicationProceedings - 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023
EditorsGerd Bruder, Anne-Helene Olivier, Andrew Cunningham, Evan Yifan Peng, Jens Grubert, Ian Williams
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages379-380
Number of pages2
ISBN (Electronic)9798350328912
DOIs
StatePublished - 2023
Event2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023 - Sydney, Australia
Duration: Oct 16 2023Oct 20 2023

Publication series

NameProceedings - 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023

Conference

Conference2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023
Country/TerritoryAustralia
CitySydney
Period10/16/2310/20/23

Keywords

  • Human computer interaction (HCI)
  • Human-centered computing
  • Interaction paradigms
  • Mixed / augmented reality Human-centered computing
  • Visualization
  • Visualization design and evaluation methods

ASJC Scopus subject areas

  • Computer Science Applications
  • Human-Computer Interaction
  • Media Technology
  • Modeling and Simulation

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