Analysis and training of human sound localization behavior with VR application

Yun Han Wu; Agnieszka Roginska

Analysis and training of human sound localization behavior with VR application

Music and Performing Arts Professions

Research output: Contribution to conference › Paper › peer-review

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.

Original language	English (US)
State	Published - 2019
Event	2019 AES International Conference on Immersive and Interactive Audio: Creating the Next Dimension of Sound Experience - York, United Kingdom Duration: Mar 27 2019 → Mar 29 2019

Conference

Conference	2019 AES International Conference on Immersive and Interactive Audio: Creating the Next Dimension of Sound Experience
Country/Territory	United Kingdom
City	York
Period	3/27/19 → 3/29/19

ASJC Scopus subject areas

Electrical and Electronic Engineering
Acoustics and Ultrasonics

Cite this

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title = "Analysis and training of human sound localization behavior with VR application",

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.",

author = "Wu, {Yun Han} and Agnieszka Roginska",

year = "2019",

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note = "2019 AES International Conference on Immersive and Interactive Audio: Creating the Next Dimension of Sound Experience ; Conference date: 27-03-2019 Through 29-03-2019",

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AU - Roginska, Agnieszka

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AB - 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.

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M3 - Paper

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Y2 - 27 March 2019 through 29 March 2019

ER -

Analysis and training of human sound localization behavior with VR application

Abstract

Conference

ASJC Scopus subject areas

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