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Conference Paper

Analysis and Training of Human Sound Localization Behavior with VR Application

Authors: Wu, Yun-Han; Roginska, Agnieszka

AES Conference: 2019 AES International Conference on Immersive and Interactive Audio · Paper 26 · March 2019

Abstract

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.

Details

Published in
AES Conference: 2019 AES International Conference on Immersive and Interactive Audio
Paper number
26
Publication date
March 6, 2019
Affiliation
New York University, New York, NY, USA (See document for exact affiliation information.)
Type
Conference Paper