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

Sungyoung Kim, Song Hui Chon, Hiraku Okumura, Shuichi Sakamoto

研究成果: Paper査読

1 被引用数 (Scopus)

抄録

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.

本文言語English
出版ステータスPublished - 2020
イベント148th Audio Engineering Society International Convention 2020 - Vienna, Virtual, Online, Austria
継続期間: 2020 6月 22020 6月 5

Conference

Conference148th Audio Engineering Society International Convention 2020
国/地域Austria
CityVienna, Virtual, Online
Period20/6/220/6/5

ASJC Scopus subject areas

  • モデリングとシミュレーション
  • 音響学および超音波学

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