Effects of virtual arm representations on interaction in virtual environments

Tanh Quang Tran, Hyun Ju Shin, Wolfgang Stuerzlinger, Jung Hyun Han

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

Many techniques for visualization and interaction that potentially increase user performance have been studied in the growing field of virtual reality. However, the effects of virtual-arm representations on users' performance and perception in selection tasks have not been studied before. This paper presents the results of a user study of three different representations of the virtual arm: “hand only,” “hand+forearm,” and “whole arm” which includes the upper arm. In addition to the representations' effects on performance and perception in selection tasks, we investigate how the users' performance changes depending on whether collisions with objects are allowed or not. The relationship between the virtual-arm representations and the senses of agency and ownership are also explored. Overall, we found that the “whole arm” condition performed worst.

Original languageEnglish
Title of host publicationProceedings - VRST 2017
Subtitle of host publication23rd ACM Conference on Virtual Reality Software and Technology
EditorsStephen N. Spencer
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450355483
DOIs
Publication statusPublished - 2017 Nov 8
Event23rd ACM Conference on Virtual Reality Software and Technology, VRST 2017 - Gothenburg, Sweden
Duration: 2017 Nov 82017 Nov 10

Publication series

NameProceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST
VolumePart F131944

Other

Other23rd ACM Conference on Virtual Reality Software and Technology, VRST 2017
CountrySweden
CityGothenburg
Period17/11/817/11/10

Keywords

  • 3D interaction
  • Natural hand interaction
  • Selection performance
  • Virtual arm
  • Virtual reality

ASJC Scopus subject areas

  • Software

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