Distant Object Manipulation with Adaptive Gains in Virtual Reality

  • Xiaolong Liu*
  • , Lili Wang
  • , Shuai Luan
  • , Xuehuai Shi
  • , Xinda Liu
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Object Manipulation is a fundamental interaction in virtual reality (VR). The efficiency and accuracy of object manipulation are important to provide immersion to users. We propose a manipulation method with adaptive gains to improve the efficiency and accuracy of object manipulation in VR applications. First, we introduce manipulation gains. We then design an experiment to collect user behavior during manipulation to determine fitting functions for calculating manipulation gain. At last, we design a user study to evaluate the performance of our distant object manipulation method with adaptive gains. The results show that, compared with the state of the art methods, our method has a significant improvement in the completion time, and the manipulation accuracy of the tasks. Moreover, our method significantly increases usability and reduces task load.

Original languageEnglish
Title of host publicationProceedings - 2022 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2022
EditorsHenry Duh, Ian Williams, Jens Grubert, J. Adam Jones, Jianmin Zheng
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages739-747
Number of pages9
ISBN (Electronic)9781665453257
DOIs
StatePublished - 2022
Event21st IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2022 - Singapore, Singapore
Duration: 17 Oct 202221 Oct 2022

Publication series

NameProceedings - 2022 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2022

Conference

Conference21st IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2022
Country/TerritorySingapore
CitySingapore
Period17/10/2221/10/22

Keywords

  • Manipulation gains
  • Object manipulation
  • Virtual reality
  • Visual perception

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