A Comparative Study on Locomotion Methods and Distance Perception in Immersive Virtual Reality

Accurately perceiving distances in virtual reality (VR) remains a challenge due to discrepancies between real-world and VR spatial experiences. This study compares four VR locomotion methods—Teleport, Joystick, Arms Swinging, and Real Walking—by evaluating distance perception, spatial orientation, and user experience. In an exploratory within-subject study, participants navigated a virtual environment, estimated distances, and completed various questionnaires (SSQ, IPQ, SUS, NASA TLX, and a comparison questionnaire). Results showed a mismatch between user preference and performance: while Arms Swinging was the least preferred method, it provided the most accurate distance estimation and spatial orientation.

Authors

Institutions

Publication Details

Published
2025-03-08
DOI
https://doi.org/10.1109/vrw66409.2025.00275
Citations
1
Primary Topic
Virtual Reality Applications and Impacts
Type
article
Field-Weighted Citation Impact
1.94

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Comparative Study on Locomotion Methods and Distance Perception in Immersive Virtual Reality

Manuela Chessa, Razeen Hussain, Fabio Solari
1 citations
Virtual Reality Applications and Impacts
1.94
article

A Comparative Study on Locomotion Methods and Distance Perception in Immersive Virtual Reality

Manuela Chessa, Razeen Hussain, Fabio Solari
article en
1 citations

Abstract

Accurately perceiving distances in virtual reality (VR) remains a challenge due to discrepancies between real-world and VR spatial experiences. This study compares four VR locomotion methods—Teleport, Joystick, Arms Swinging, and Real Walking—by evaluating distance perception, spatial orientation, and user experience. In an exploratory within-subject study, participants navigated a virtual environment, estimated distances, and completed various questionnaires (SSQ, IPQ, SUS, NASA TLX, and a comparison questionnaire). Results showed a mismatch between user preference and performance: while Arms Swinging was the least preferred method, it provided the most accurate distance estimation and spatial orientation.

University of Genoa (IT)
Interreg
Openalex Percentile: Top 17%
Virtual Reality Applications and Impacts
1.94
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.