Experimental evaluation of immersive feeling in VR system with HMD

Yoshiki Koinuma, Kazuki Miyamoto, Michiko Ohkura

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

Abstract

Virtual Reality (VR) had a banner year in 2016. VR has attracted a lot of media attention because many companies have launched Head Mounted Displays (HMDs) and other related products. As a result, the term “immersive feeling” has become more widely known. In this study, we evaluated immersive feeling using HMD. For that purpose, we created two types of content: one expected to generate high immersive feeling and another expected to generate low immersive feeling.

Original languageEnglish
Title of host publicationHuman–Computer Interaction
Subtitle of host publicationInteraction Contexts - 19th International Conference, HCI International 2017, Proceedings
PublisherSpringer Verlag
Pages678-686
Number of pages9
Volume10272 LNCS
ISBN (Print)9783319580760
DOIs
Publication statusPublished - 2017
Event19th International Conference on Human–Computer Interaction, HCI International 2017 - Vancouver, Canada
Duration: 2017 Jul 92017 Jul 14

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10272 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other19th International Conference on Human–Computer Interaction, HCI International 2017
CountryCanada
CityVancouver
Period17/7/917/7/14

Keywords

  • HMD
  • Immersive feeling
  • VR

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Koinuma, Y., Miyamoto, K., & Ohkura, M. (2017). Experimental evaluation of immersive feeling in VR system with HMD. In Human–Computer Interaction: Interaction Contexts - 19th International Conference, HCI International 2017, Proceedings (Vol. 10272 LNCS, pp. 678-686). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10272 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-58077-7_52