GrokWalks: A Portable Virtual Reality Platform to Facilitate Studying Driver-Pedestrian Interactions

Driving simulators are vital for human-centered automotive research, offering safe, replicable environments for studying human interaction with transportation technology interfaces and behaviors. However, traditional driving simulators are not well-suited to studying traffic interactions with various degrees of freedom in a way that allows for the capture of nuances in implicit and explicit interactions, e.g. gestures, body language, and movement. We developed a multi-participant virtual reality (VR) driving simulation platform to study these interactions. This portable system supports cross-cultural experiments by modeling diverse scenarios, generating analyzable data, and capturing human behaviors in traffic. Our interactive demo allows participants to experience roles as drivers or pedestrians in a shared virtual environment, with the goal of providing a hands-on experience with this open-source VR simulator and demonstrating its affordability and scalability for traffic interaction studies to researchers and practitioners.

Authors

Institutions

Publication Details

Published
2024-09-17
DOI
https://doi.org/10.1145/3641308.3685013
Citations
4
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
2.57
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

GrokWalks: A Portable Virtual Reality Platform to Facilitate Studying Driver-Pedestrian Interactions

David Sirkin, Wendy Ju, Rebecca Currano, David Goedicke et al.
4 citations
Human-Automation Interaction and Safety
2.57
article

GrokWalks: A Portable Virtual Reality Platform to Facilitate Studying Driver-Pedestrian Interactions

David Sirkin, Wendy Ju, Rebecca Currano, David Goedicke, Debargha Dey, Chishang Yang
article en
4 citations

Abstract

Driving simulators are vital for human-centered automotive research, offering safe, replicable environments for studying human interaction with transportation technology interfaces and behaviors. However, traditional driving simulators are not well-suited to studying traffic interactions with various degrees of freedom in a way that allows for the capture of nuances in implicit and explicit interactions, e.g. gestures, body language, and movement. We developed a multi-participant virtual reality (VR) driving simulation platform to study these interactions. This portable system supports cross-cultural experiments by modeling diverse scenarios, generating analyzable data, and capturing human behaviors in traffic. Our interactive demo allows participants to experience roles as drivers or pedestrians in a shared virtual environment, with the goal of providing a hands-on experience with this open-source VR simulator and demonstrating its affordability and scalability for traffic interaction studies to researchers and practitioners.

Cornell University (US), Center for Health Design (US), University of Duisburg-Essen (DE), Stanford University (US)
Sustainable cities and communities
Openalex Percentile: Top 11%
Human-Automation Interaction and Safety
2.57
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.