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.

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
StatePublished - 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

Fingerprint

Virtual reality
Display devices
Industry

Keywords

  • HMD
  • Immersive feeling
  • VR

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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. DOI: 10.1007/978-3-319-58077-7_52

Experimental evaluation of immersive feeling in VR system with HMD. / Koinuma, Yoshiki; Miyamoto, Kazuki; Ohkura, Michiko.

Human–Computer Interaction: Interaction Contexts - 19th International Conference, HCI International 2017, Proceedings. Vol. 10272 LNCS Springer Verlag, 2017. p. 678-686 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10272 LNCS).

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

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, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10272 LNCS, Springer Verlag, pp. 678-686, 19th International Conference on Human–Computer Interaction, HCI International 2017, Vancouver, Canada, 17/7/9. DOI: 10.1007/978-3-319-58077-7_52
Koinuma Y, Miyamoto K, Ohkura M. 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. Springer Verlag. 2017. p. 678-686. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Available from, DOI: 10.1007/978-3-319-58077-7_52
Koinuma, Yoshiki ; Miyamoto, Kazuki ; Ohkura, Michiko. / Experimental evaluation of immersive feeling in VR system with HMD. Human–Computer Interaction: Interaction Contexts - 19th International Conference, HCI International 2017, Proceedings. Vol. 10272 LNCS Springer Verlag, 2017. pp. 678-686 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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