A comparison of head-mounted displays vs. large-screen displays for an interactive pedestrian simulator

Sophia Mallaro; Pooya Rahimian; Elizabeth O'Neal; Jodie Plumert; Joseph Kearney

doi:10.1145/3139131.3139171

Back

Conference proceeding

A comparison of head-mounted displays vs. large-screen displays for an interactive pedestrian simulator

Sophia Mallaro, Pooya Rahimian, Elizabeth O'Neal, Jodie Plumert and Joseph Kearney

Proceedings of the 23rd ACM Symposium on virtual reality software and technology, Vol.131944, pp.1-4

VRST '17

11/08/2017

DOI: 10.1145/3139131.3139171

View Online

Abstract

This investigation compared how people performed a complex perception-action task - crossing traffic-filled roadways - in a CAVE vs. an HMD virtual environment. Participants physically crossed a virtual roadway with continuous cross traffic in either a CAVE-like or an HTC Vive pedestrian simulator. The 3D model and traffic scenario were identical in both simulators, allowing for a direct comparison between the two display systems. We found that participants in the Vive group accepted smaller gaps for crossing than participants in the CAVE group. They also timed their entry into the gap more precisely and tended to cross somewhat more quickly. As a result, participants in the Vive group had a somewhat larger margin of safety when they exited the roadway than those in the CAVE group. The results provide a foundation for future studies of pedestrian behavior and other tasks involving full-body motion using HMD-based VR.

CAVE

virtual reality

HTC vive

pedestrian road crossing

Details

Title: Subtitle: A comparison of head-mounted displays vs. large-screen displays for an interactive pedestrian simulator
Creators: Sophia Mallaro
Pooya Rahimian
Elizabeth O'Neal
Jodie Plumert
Joseph Kearney
Resource Type: Conference proceeding
Publication Details: Proceedings of the 23rd ACM Symposium on virtual reality software and technology, Vol.131944, pp.1-4
Series: VRST '17
DOI: 10.1145/3139131.3139171
Publisher: ACM
Grant note: DOI: 10.13039/100000001, name: National Science Foundation, award: BCS-1251694 CNS-1305131; DOI: 10.13039/100000140, name: U.S. Department of Transportation, award: DTRT13-G-UTC53
Language: English
Date published: 11/08/2017
Academic Unit: Psychological and Brain Sciences; Nursing; Injury Prevention Research Center; Computer Science
Record Identifier: 9984002444102771

Metrics

39 Record Views

33 Times Cited - Web of Science