Zhang Jun-Yun, Zhang Ting, Xue Feng, Liu Lei, Yu Cong
State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China.
Vision Res. 2009 Jan;49(1):44-53. doi: 10.1016/j.visres.2008.09.021. Epub 2008 Nov 7.
Written Chinese is distinct from alphabetic languages because of its enormous number of characters with a great range of spatial complexities (stroke numbers). In this study we investigated the impact of spatial complexity on legibility of Chinese characters as well as associated crowding in peripheral vision. Our results showed that for isolated characters, threshold sizes of complex characters increased faster with retinal eccentricity than did those of simple characters, suggesting possible "within-character" crowding among parts of complex Chinese characters. However, such "within-character" crowding was rendered negligible by strong "between-character" crowding introduced by flankers. When the target and flankers belonged to different complexity groups, the intensity and extent of crowding were greatly reduced, which could be explained by top-down influences as well as lower-level mechanisms. We suggest that crowding can be attributed to multiple mechanisms at different levels of visual processing.
书面中文与字母语言不同,因为其大量的汉字具有极大的空间复杂性(笔画数)。在本研究中,我们调查了空间复杂性对汉字易读性的影响以及周边视觉中的相关拥挤现象。我们的结果表明,对于孤立的汉字,复杂汉字的阈值大小随视网膜离心率的增加比简单汉字更快,这表明复杂汉字各部分之间可能存在“字内”拥挤现象。然而,侧翼字引入的强烈“字间”拥挤使这种“字内”拥挤变得微不足道。当目标字和侧翼字属于不同的复杂性组时,拥挤的强度和程度会大大降低,这可以通过自上而下的影响以及较低层次的机制来解释。我们认为,拥挤现象可归因于视觉处理不同层次的多种机制。