Jäkel Frank, Singh Manish, Wichmann Felix A, Herzog Michael H
Institute of Cognitive Science, University of Osnabrück, Germany.
Department of Psychology and Center for Cognitive Science, Rutgers University, New Brunswick, NJ, United States.
Vision Res. 2016 Sep;126:3-8. doi: 10.1016/j.visres.2016.06.004. Epub 2016 Jul 4.
Gestalt psychology is often criticized as lacking quantitative measurements and precise mathematical models. While this is true of the early Gestalt school, today there are many quantitative approaches in Gestalt perception and the special issue of Vision Research "Quantitative Approaches in Gestalt Perception" showcases the current state-of-the-art. In this article we give an overview of these current approaches. For example, ideal observer models are one of the standard quantitative tools in vision research and there is a clear trend to try and apply this tool to Gestalt perception and thereby integrate Gestalt perception into mainstream vision research. More generally, Bayesian models, long popular in other areas of vision research, are increasingly being employed to model perceptual grouping as well. Thus, although experimental and theoretical approaches to Gestalt perception remain quite diverse, we are hopeful that these quantitative trends will pave the way for a unified theory.
格式塔心理学常常被批评缺乏定量测量和精确的数学模型。虽然早期的格式塔学派确实如此,但如今在格式塔知觉方面有许多定量方法,《视觉研究》的特刊“格式塔知觉中的定量方法”展示了当前的最新技术水平。在本文中,我们对这些当前的方法进行了概述。例如,理想观察者模型是视觉研究中的标准定量工具之一,并且存在一种明显的趋势,即尝试将此工具应用于格式塔知觉,从而将格式塔知觉整合到主流视觉研究中。更普遍地说,在视觉研究的其他领域长期流行的贝叶斯模型,也越来越多地被用于对知觉分组进行建模。因此,尽管格式塔知觉的实验和理论方法仍然非常多样,但我们希望这些定量趋势将为统一理论铺平道路。