Toward Objective Measures of Auditory Co-Immersion in Virtual and Augmented Reality

Stecker GC, Moore TM, Folkerts M, Zotkin D, Duraiswami R. Toward Objective Measures of Auditory Co-Immersion in Virtual and Augmented Reality. In: AES Conference: 2018 AES International Conference on Audio for Virtual and Augmented Reality. Audio Engineering Society; 2018. Paper P2-3. Available from: https://aes.org/publications/elibrary-page/?id=19668

@inproceedings{Stecker2018_19668,
  author = {Stecker, G. Christopher and Moore, Travis M. and Folkerts, Monica and Zotkin, Dmitry and Duraiswami, Ramani},
  title = {{Toward Objective Measures of Auditory Co-Immersion in Virtual and Augmented Reality}},
  booktitle = {AES Conference: 2018 AES International Conference on Audio for Virtual and Augmented Reality},
  note = {Paper P2-3},
  year = {2018},
  month = aug,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=19668}
}

TY  - CPAPER
TI  - Toward Objective Measures of Auditory Co-Immersion in Virtual and Augmented Reality
AU  - Stecker, G. Christopher
AU  - Moore, Travis M.
AU  - Folkerts, Monica
AU  - Zotkin, Dmitry
AU  - Duraiswami, Ramani
T2  - AES Conference: 2018 AES International Conference on Audio for Virtual and Augmented Reality
M1  - Paper P2-3
PY  - 2018
DA  - 2018/08/06
UR  - https://aes.org/publications/elibrary-page/?id=19668
PB  - Audio Engineering Society
LA  - en
AB  - “Co-immersion” refers to the perception of real or virtual objects as contained within or belonging to a shared multisensory scene. Environmental features such as lighting and reverberation contribute to the experience of co-immersion even when awareness of those features is not explicit. Objective measures of co-immersion are needed to validate user experience and accessibility in augmented-reality applications, particularly those that aim for “face-to-face” quality. Here, we describe an approach that combines psychophysical measurement with virtual-reality games to assess users’ sensitivity to room-acoustic differences across concurrent talkers in a simulated complex scene. Eliminating the need for explicit judgments, Odd-one-out tasks allow psychophysical thresholds to be measured and compared directly across devices, algorithms, and user populations. Supported by NIH-R41-DC16578.
ER  -