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Convention Paper

Comparing training effects associated with two sets of HRTF data on auditory localization performance

Authors: Kim, Sungyoung; Chon, Song Hui; Okumura, Hiraku; Sakamoto, Shuichi

AES Convention 148 · Paper 10379 · May 2020

Abstract

In this study, we investigated the influence of specific generalized HRTF data on auditory localization in the context of augmented reality (AR). The localization training performance was compared over two weeks between two groups, each of which had received training using a different set of generalized HRTF data. The post-training results showed that training was more effective with one specific HRTF set. In particular, this HRTF set led to better performance in two following aspects: (1) its higher scores in the pre-training test enabling the first-time participants to be more accurate, and (2) its consistency over the entire training period, which demonstrates that the adaptation acquired with this particular set was easier to generalize in a more stable way.

Details

Published in
AES Convention 148
AES Convention
148
Paper number
10379
Publication date
May 6, 2020
Session subject
Perception
Affiliation
Rochester Institute of Technology; Belmont University; Yamaha Corporation; Tohoku University (See document for exact affiliation information.)
Type
Convention Paper