Rhodes Gillian, Maloney Laurence T, Turner Jenny, Ewing Louise
The University of Western Australia, Crawley, WA 6009, Australia.
Vision Res. 2007 Mar;47(7):974-89. doi: 10.1016/j.visres.2006.12.010. Epub 2007 Feb 21.
Adaptation paradigms highlight the dynamic nature of face coding and suggest that identity is coded relative to an average face that is tuned by experience. In low-level vision, adaptive coding can enhance sensitivity to differences around the adapted level. We investigated whether sensitivity to differences around the average face is similarly enhanced. Converging evidence from three paradigms showed no enhancement. Discrimination of small interocular spacing differences was not better for faces close to the average (Study 1). Nor was perceived similarity reduced for face pairs close to (spanning) the average (Study 2). On the contrary, these pairs were judged most similar. Maximum likelihood perceptual difference scaling (Studies 3 and 4) confirmed that sensitivity to differences was reduced, not enhanced, around the average. We conclude that adaptive face coding does not enhance discrimination around the average face.
适应范式突出了面部编码的动态特性，并表明身份是相对于由经验调整的平均脸进行编码的。在低水平视觉中，自适应编码可以增强对适应水平周围差异的敏感性。我们研究了对平均脸周围差异的敏感性是否同样会增强。来自三种范式的一致证据表明并没有增强。对于接近平均脸的面孔，对小的两眼间距差异的辨别并没有更好（研究1）。对于接近（跨越）平均脸的面孔对，感知到的相似度也没有降低（研究2）。相反，这些面孔对被判定为最相似。最大似然感知差异缩放（研究3和4）证实，在平均脸周围，对差异的敏感性降低了，而不是增强了。我们得出结论，自适应面部编码不会增强对平均脸周围差异的辨别。
