TY - GEN
T1 - ReAR - A Peripheral Indicator for Rear-Approaching Vehicles While Cycling
AU - Zhao, Guanghan
AU - Hu, Xiaodan
AU - Orlosky, Jason
AU - Kiyokawa, Kiyoshi
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Human computer interaction (HCI)
KW - Human-centered computing
KW - Interaction paradigms
KW - Mixed / augmented reality Human-centered computing
KW - Visualization
KW - Visualization design and evaluation methods
UR - http://www.scopus.com/inward/record.url?scp=85180365852&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85180365852&partnerID=8YFLogxK
U2 - 10.1109/ISMAR-Adjunct60411.2023.00082
DO - 10.1109/ISMAR-Adjunct60411.2023.00082
M3 - Conference contribution
AN - SCOPUS:85180365852
T3 - Proceedings - 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023
SP - 379
EP - 380
BT - Proceedings - 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023
A2 - Bruder, Gerd
A2 - Olivier, Anne-Helene
A2 - Cunningham, Andrew
A2 - Peng, Evan Yifan
A2 - Grubert, Jens
A2 - Williams, Ian
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023
Y2 - 16 October 2023 through 20 October 2023
ER -