A decisional account of subjective inflation of visual perception at the periphery

• Autores: Solovey, Guillermo; Graney, Guy Gerard; Lau, Hakwan
• Año de publicación: 2015
• Idioma: inglés
• Tipo de recurso: artículo
• Materia: PERCEPTUAL DECISION MAKING; PERIPHERAL VISION; PSYCHOPHYSICS; SIGNAL DETECTION THEORY; SUBJECTIVE PERCEPTION
• Institución: Consejo Nacional de Investigaciones Científicas y Técnicas

Human peripheral vision appears vivid compared to foveal vision; the subjectively perceived level of detail does not seem to drop abruptly with eccentricity. This compelling impression contrasts with the fact that spatial resolution is substantially lower at the periphery. A similar phenomenon occurs in visual attention, in which subjects usually overestimate their perceptual capacity in the unattended periphery. We have previously shown that at identical eccentricity, low spatial attention is associated with liberal detection biases, which we argue may reflect inflated subjective perceptual qualities. Our computational model suggests that this subjective inflation occurs because under the lack of attention, the trial-by-trial variability of the internal neural response is increased, resulting in more frequent surpassing of a detection criterion. In the current work, we hypothesized that the same mechanism may be at work in peripheral vision. We investigated this possibility in psychophysical experiments in which participants performed a simultaneous detection task at the center and at the periphery. Confirming our hypothesis, we found that participants adopted a conservative criterion at the center and liberal criterion at the periphery. Furthermore, an extension of our model predicts that detection bias will be similar at the center and at the periphery if the periphery stimuli are magnified. A second experiment successfully confirmed this prediction. These results suggest that, although other factors contribute to subjective inflation of visual perception in the periphery, such as top-down filling-in of information, the decision mechanism may be relevant too.
Fil: Solovey, Guillermo. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Cálculo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Graney, Guy Gerard. Columbia University; Estados Unidos
Fil: Lau, Hakwan. Columbia University; Estados Unidos. University of California at Los Angeles; Estados Unidos