Learning to walk in virtual reality

Roy A. Ruddle, Ekaterina Volkova, Heinrich H. Bülthoff

Research output: Contribution to journalArticle

34 Citations (Scopus)

Abstract

This article provides longitudinal data for when participants learned to travel with a walking metaphor through virtual reality (VR) worlds, using interfaces that ranged from joystick-only, to linear and omnidirectional treadmills, and actual walking in VR. Three metrics were used: travel time, collisions (a measure of accuracy), and the speed profile. The time that participants required to reach asymptotic performance for traveling, and what that asymptote was, varied considerably between interfaces. In particular, when a world had tight turns (0.75 m corridors), participants who walked were more proficient than those who used a joystick to locomote and turned either physically or with a joystick, even after 10 minutes of training. The speed profile showed that this was caused by participants spending a notable percentage of the time stationary, irrespective of whether or not they frequently played computer games. The study shows how speed profiles can be used to help evaluate participants' proficiency with travel interfaces, highlights the need for training to be structured to addresses specific weaknesses in proficiency (e.g., start-stop movement), and for studies to measure and report that proficiency.

Original languageEnglish
Article number11
JournalACM Transactions on Applied Perception
Volume10
Issue number2
DOIs
Publication statusPublished - 2013 May

Keywords

  • Metrics
  • Navigation
  • Travel
  • Virtual reality interfaces

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)
  • Experimental and Cognitive Psychology

Fingerprint Dive into the research topics of 'Learning to walk in virtual reality'. Together they form a unique fingerprint.

  • Cite this