CHI 2020 – Auditory Mixed Reality Paper

We’re excited to be going to CHI 2020 soon, where we’ll be presenting a paper on Auditory Mixed Reality [1] , which you can see as a preprint here. We’ll also be running a workshop on the Ethics of Mixed Reality

[1] [pdf] [doi] M. McGill, S. Brewster, D. McGookin, and G. Wilson, “Acoustic transparency and the changing soundscape of auditory mixed reality,” in Proceedings of the 2020 chi conference on human factors in computing systems, New York, NY, USA, 2020, p. 1–16.
author = {McGill, Mark and Brewster, Stephen and McGookin, David and Wilson, Graham},
title = {Acoustic Transparency and the Changing Soundscape of Auditory Mixed Reality},
year = {2020},
isbn = {9781450367080},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {},
doi = {10.1145/3313831.3376702},
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.},
booktitle = {Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems},
pages = {1–16},
numpages = {16},
keywords = {acoustic transparency, audio, mixed reality},
location = {Honolulu, HI, USA},
series = {CHI '20}