Effects of Visually Induced Self-Motion on Sound Localization Accuracy

DOI Web Site 参考文献34件 オープンアクセス
  • Akio Honda
    Department of Information Design, Faculty of Informatics, Shizuoka Institute of Science and Technology, 2200-2, Toyosawa, Fukuroi 437-8555, Japan
  • Kei Maeda
    Research Institute of Electrical Communication, Tohoku University, 2-1-1, Katahira, Aoba-ku, Sendai 980-8577, Japan
  • Shuichi Sakamoto
    Research Institute of Electrical Communication, Tohoku University, 2-1-1, Katahira, Aoba-ku, Sendai 980-8577, Japan
  • Yôiti Suzuki
    Research Institute of Electrical Communication, Tohoku University, 2-1-1, Katahira, Aoba-ku, Sendai 980-8577, Japan

書誌事項

公開日
2021-12-24
資源種別
journal article
権利情報
  • https://creativecommons.org/licenses/by/4.0/
DOI
  • 10.3390/app12010173
公開者
MDPI AG

説明

<jats:p>The deterioration of sound localization accuracy during a listener’s head/body rotation is independent of the listener’s rotation velocity. However, whether this deterioration occurs only during physical movement in a real environment remains unclear. In this study, we addressed this question by subjecting physically stationary listeners to visually induced self-motion, i.e., vection. Two conditions—one with a visually induced perception of self-motion (vection) and the other without vection (control)—were adopted. Under both conditions, a short noise burst (30 ms) was presented via a loudspeaker in a circular array placed horizontally in front of a listener. The listeners were asked to determine whether the acoustic stimulus was localized relative to their subjective midline. The results showed that in terms of detection thresholds based on the subjective midline, the sound localization accuracy was lower under the vection condition than under the control condition. This indicates that sound localization can be compromised under visually induced self-motion perception. These findings support the idea that self-motion information is crucial for auditory space perception and can potentially enable the design of dynamic binaural displays requiring fewer computational resources.</jats:p>

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