每周论坛之七（总第294期）：刘彦平（中山大学），2022年4月2日下午

每周论坛之七（总第294期）

报告人：刘彦平 副教授

报告人单位：中山大学心理学系

题目： Towards a Model of Eye-Movement Control in Chinese Reading

时间：2022年4月2日 （周一，14:20-17:30）

地点：心理学系305

报告简介：

The Chinese writing system has several features that make it markedly different from the alphabetic systems that have most often been examined in reading research, including the fact that individual words are comprised of a variable number of uniformly sized, box-shaped characters whose boundaries are not clearly demarcated (e.g., by blank spaces). These features raise the question: How do readers of Chinese “know” where to move their eyes for the purpose of efficiently segmenting and/or identifying words? To answer this question, we used the E-Z Reader model of eye-movement control in reading (Reichle et al., 2012) to run a simulation ‘experiment’ in which two saccade-targeting assumptions (i.e., directing the eyes towards default targets vs. adjusting saccade length as a function of parafoveal processing difficulty; see Liu et al., 2016) were factorially manipulated with three word-segmentation heuristics (i.e., ideal observer knowledge of word boundaries vs. probabilistic guessing vs. familiarity-based segmentation) to examine which combination of assumptions provide the best quantitative account of eye-movement control during the reading of Chinese. Based on these simulations, we conclude the best account is one in which readers of Chinese use relative differences in the familiarity of groups of parafoveal characters to dynamically adjust the lengths of saccades in a manner that affords efficient word identification. We discuss the broader theoretical implications of these conclusions for models of Chinese reading and for models of reading more generally.

报告人简介：

刘彦平老师主要研究大脑高级认知功能，包括语言认知和强化学习等，研究方法包括行为技术（眼动）、脑成像（ERP等）和计算建模。通过系统的研究，刘彦平老师及合作者创建了中文自然阅读过程中眼动控制的动态调节模型，已在心理学国际权威期刊发表高水平论文25篇。