XR-OOM: MiXed Reality driving simulation with real cars for research and design

要旨

High-fidelity driving simulators can act as testbeds for designing in-vehicle interfaces or validating the safety of novel driver assistance features. In this system paper, we develop and validate the safety of a mixed reality driving simulator system that enables us to superimpose virtual objects and events into the view of participants engaging in real-world driving in unmodified vehicles. To this end, we have validated the mixed reality system for basic driver cockpit and low-speed driving tasks, comparing the use of the system with non-headset and with the headset driving conditions, to ensure that participants behave and perform similarly using this system as they would otherwise. This paper outlines the operational procedures and protocols for using such systems for cockpit tasks (like using the parking brake, reading the instrument panel, and turn signaling) as well as basic low-speed driving exercises (such as steering around corners, weaving around obstacles, and stopping at a fixed line) in ways that are safe, effective, and lead to accurate, repeatable data collection about behavioral responses in real-world driving tasks.

著者
David Goedicke
Cornell Tech, New York, New York, United States
Alexandra W.D.. Bremers
Cornell Tech, New York, New York, United States
Sam Lee
Cornell Tech, New York, New York, United States
Fanjun Bu
Cornell Tech, Ithaca, New York, United States
Hiroshi Yasuda
Toyota Research Institute, Los Altos, California, United States
Wendy Ju
Cornell Tech, New York, New York, United States
論文URL

https://dl.acm.org/doi/abs/10.1145/3491102.3517704

動画

会議: CHI 2022

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2022.acm.org/)

セッション: Let's get Physical

290
5 件の発表
2022-05-04 18:00:00
2022-05-04 19:15:00