Acoustic transparency and the changing soundscape of auditory mixed reality

Mark McGill, Stephen Brewster, David McGookin, Graham Wilson

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

Abstract

Auditory headsets capable of actively or passively intermixing both real and virtual sounds are in-part acoustically transparent. This paper explores the consequences of acoustic transparency, both on the perception of virtual audio content, given the presence of a real-world auditory backdrop, and more broadly in facilitating a wearable, personal, private, always-available soundspace. We experimentally compare passive acoustically transparent, and active noise cancelling, orientation-tracked auditory headsets across a range of content types, both indoors and outdoors for validity. Our results show differences in terms of presence, realness and externalization for select content types. Via interviews and a survey, we discuss attitudes toward acoustic transparency (e.g. being perceived as safer), the potential shifts in audio usage that might be precipitated by adoption, and reflect on how such headsets and experiences fit within the area of Mixed Reality.
Original languageEnglish
Title of host publicationCHI '20 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
Place of PublicationNew York, NY.
Pages1-16
Number of pages10
DOIs
Publication statusPublished - 30 Apr 2020
EventACM SIGCHI Conference on Human Factors in Computing Systems - Honolulu, United States
Duration: 25 Apr 202030 Apr 2020
https://chi2020.acm.org/

Conference

ConferenceACM SIGCHI Conference on Human Factors in Computing Systems
Abbreviated titleCHI 2020
CountryUnited States
CityHonolulu
Period25/04/2030/04/20
Internet address

Keywords

  • acoustic transparency
  • mixed reality
  • audio
  • HCI

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  • Cite this

    McGill, M., Brewster, S., McGookin, D., & Wilson, G. (2020). Acoustic transparency and the changing soundscape of auditory mixed reality. In CHI '20 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1-16). New York, NY.. https://doi.org/10.1145/3313831.3376702