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A VR training application is built in this paper to help improve human sound localization performance on generic head-related transfer function. Subjects go through 4 different phases in the experiment, tutorial, pre-test, training and post-test, in which he or she is instructed to trigger a sound stimuli and report the perceived location by rotating their head to face the direction. The data captured automatically during each trial of the experiment includes the correct and reported position of the stimuli, reaction time and the head rotation at each 50ms. The analysis results show that there is a statistically significant improvement on subjects performance.
Author (s): Wu, Yun-Han;
Roginska, Agnieszka;
Affiliation:
New York University, New York, NY, USA
(See document for exact affiliation information.)
Publication Date:
2019-03-06
DOI:
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Wu, Yun-Han; Roginska, Agnieszka; 2019; Analysis and Training of Human Sound Localization Behavior with VR Application [PDF]; New York University, New York, NY, USA; Paper 26; Available from: https://aes.org/publications/elibrary-page/?id=20384
Wu, Yun-Han; Roginska, Agnieszka; Analysis and Training of Human Sound Localization Behavior with VR Application [PDF]; New York University, New York, NY, USA; Paper 26; 2019 Available: https://aes.org/publications/elibrary-page/?id=20384
@inproceedings{Wu2019analysis,
title={{Analysis and Training of Human Sound Localization Behavior with VR Application}},
author={Wu, Yun-Han and Roginska, Agnieszka},
year={2019},
month={mar},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper 26; AES Conference: 2019 AES International Conference on Immersive and Interactive Audio; March 2019},
number={26},
organization={AES},
}
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