Efect of accompanying onomatopoeia with sound feedback toward presence and user experience in virtual reality

Jiwon Oh, Jeonghyun Kim

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

1 Citation (Scopus)

Abstract

Onomatopoeia refers to a word that phonetically imitates the sound. It is often used, in comics or video, in caption as a way to dramatize, emphasize, exaggerate and draw attention the situation. In this paper we explore if the use of onomatopoeia could also bring about similar efects and improve the user experience in virtual reality. We present an experiment comparing the user’s subjective experiences and attentive performance in two virtual worlds, each conigured in two test conditions: (1) sound feedback with no onomatopoeia and (2) sound feedback with it. Our experiment has found that the moderate and strategic use of onomatopoeia can indeed help direct user attention, ofer object afordance and thereby enhance user experience and even the sense of presence and immersion.

Original languageEnglish
Title of host publicationProceedings - VRST 2018
Subtitle of host publication24th ACM Symposium on Virtual Reality Software and Technology
EditorsStephen N. Spencer
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450360869
DOIs
Publication statusPublished - 2018 Nov 28
Event24th ACM Symposium on Virtual Reality Software and Technology, VRST 2018 - Tokyo, Japan
Duration: 2018 Nov 282018 Dec 1

Other

Other24th ACM Symposium on Virtual Reality Software and Technology, VRST 2018
CountryJapan
CityTokyo
Period18/11/2818/12/1

Keywords

  • Onomatopoeia
  • Sounds visualization
  • User experience
  • Virtual reality

ASJC Scopus subject areas

  • Software

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  • Cite this

    Oh, J., & Kim, J. (2018). Efect of accompanying onomatopoeia with sound feedback toward presence and user experience in virtual reality. In S. N. Spencer (Ed.), Proceedings - VRST 2018: 24th ACM Symposium on Virtual Reality Software and Technology [3283401] Association for Computing Machinery. https://doi.org/10.1145/3281505.3283401