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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.
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 Author Response Sungyoung Kim |
Comment posted January 5, 2021 @ 16:39:58 UTC
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Dear the esteemed AES members and audio lovers, But the right values are 8.815 and 13.8 (degrees), respectively.
Even though two values were accidently miscalculated, the overall interpretations and results are same. Please refer this notice of fix when you read this paper; please contact me if you have any problem. (Respond to this comment)
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