Figure 4 - available via license: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
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Build-up of learning effect over trials The running average of the four summary statistics was obtained by pulling together data from all participants on a running window of 10 consecutive trials.
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Humans can adapt to changes in the acoustic properties of the head and exploit the resulting novel spectral cues for sound source localization. However, the adaptation rate varies across studies and is not associated with the aftereffects commonly found after adaptation in other sensory domains. To investigate the adaptation’ rate and measure poten...
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... = 1.36), indicating an aftereffect of training even after removing the new ears. Conversely, the RMSE, gain, and bias did not differ between the two groups (RMSE: t 14 As a final analysis, to assess the aftereffect duration, we compared our four dependent variables between the first and second halves of the last session (Regular Ear 2) across the two training conditions (Figure 4) using mixed ANOVAs. In line with previous results, we did not find a difference for factor group ( . ...
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... = 3.9) and compared to the first block in the control group (t 14 = 6.93, p <0 .001, d = 3.46), while there was no difference between the first and second block within the control group (t 14 = 0.53, p = 1, d = 0.53, Figure 4, top). A similar result was also found for the Dispersion (Figure 4, bottom), with significant main effects (group: F 1,14 = 19.29, ...
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... = 3.46), while there was no difference between the first and second block within the control group (t 14 = 0.53, p = 1, d = 0.53, Figure 4, top). A similar result was also found for the Dispersion (Figure 4, bottom), with significant main effects (group: F 1,14 = 19.29, p <0 .001, ...
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... may explain why previous studies failed to find analogous aftereffects. Notably, such aftereffects disappeared within a few trials upon removal of the new ears (Figure 4) and were only evident in the random error component (an aspect that could have passed unnoticed in previous studies, which relied on less sensitive analyses of localization errors). This demonstrates that while listeners can quickly switch between different HRTFs, such a switch nevertheless comes at a cost. ...
