Back to results

University of Nevada - Reno

Handsfree Locomotion Techniques for Mobile VR

Abstract

dc:description.abstract

Virtual reality is an area experiencing unprecedented growth due to the release of consumer-ready, affordable, and accessible head mounted displays. Many of these HMDs come in the form of low-cost smartphone adapters, such as Google Cardboard, that can turn any phone into a virtual reality device, paving the way for mass adoption of VR. However, input in mobile VR is typically limited to using head tracking or single button input, which makes it difficult to perform complex tasks like navigation. Walking-in-place (WIP) offers a natural and immersive form of virtual locomotion that can potentially reduce cybersickness. WIP, however, is difficult to implement in mobile contexts as it typically relies on bulky controllers or an external camera. This work presents a novel hands-free WIP technique usable for mobile VR, as well as an alternative hands-free input technique using head tilt. Two user studies are presented. In the first, we show that WIP is more immersive than another popular handsfree navigation method, without any loss in overall performance. In the second, we develop an extension of the WIP technique that uses head tilt and WIP, and compare that to a joystick and a tilt-only technique. These techniques allow users to explore an unlimited amount of virtual space, and are more immersive than traditional input methods, making them ideal for mainstream implementation in virtual reality applications.

Degree

thesis:*
Level thesis:degree_level
Master's Degree
Year dc:date.issued
2016

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Tregillus, Samuel
Advisor dc:contributor.advisor
  • Folmer, Eelke
Committee members dc:contributor.committeemember
  • Feil-Seifer, David
  • Jiang, Fang

Subjects

dc:subject × 6

Rights

dc:rights
Statement dc:rights
  • In Copyright(All Rights Reserved)

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/11714/2256
OAI identifier oai:identifier
oai:scholarwolf.unr.edu:11714/2256

Chain of custody

source
Harvested from
University of Nevada - Reno
Base URL
scholarwolf.unr.edu/server/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

Tregillus, Samuel. Handsfree Locomotion Techniques for Mobile VR. Master's Degree thesis, 2016. http://hdl.handle.net/11714/2256