Reilly R G, O'Regan J K
Department of Computer Science, University College Dublin, Belfield, Ireland.
Vision Res. 1998 Jan;38(2):303-17. doi: 10.1016/s0042-6989(97)87710-3.
McConkie, Kerr, Reddix, & Zola [(1988). Vision Research, 28, 1107-1118] demonstrated that the distributions of landing sites on a word tended to be gaussian in shape. They provided a detailed account of the behaviour of the eye once a target had been selected and a saccade initiated, but said little about the process of target selection itself. The purpose of this study was to take as a starting point the landing site distributions of McConkie et al., in particular the residuals derived from fitting the gaussians to the empirical data, and to explore by computer simulation a number of saccade targeting strategies in order to discover candidates that best accounted for the residual data. Our results indicate that the strategy that gives the best fit involves targeting the longest word in a right parafoveal window extending 20 characters to the right of the currently fixated word. The implications of this finding for models of reading are discussed.
麦康基、克尔、雷迪克斯和佐拉[(1988年)。《视觉研究》,28卷,第1107 - 1118页]证明,单词上落点的分布往往呈高斯形状。他们详细描述了一旦选定目标并启动扫视后眼睛的行为,但对目标选择过程本身却鲜有提及。本研究的目的是以麦康基等人的落点分布为起点,特别是从将高斯分布拟合到经验数据中得出的残差,通过计算机模拟探索多种扫视目标策略,以便找出最能解释残差数据的候选策略。我们的结果表明,拟合效果最佳的策略是将目标定为在当前注视单词右侧20个字符处延伸的右旁中央凹窗口中最长的单词。本文讨论了这一发现对阅读模型的意义。