算术和阅读表现的眼动模型。

Reviews of oculomotor research Pub Date : 1990-01-01
P Suppes
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引用次数: 0

摘要

本文提出了算术和阅读性能的三种随机眼动模型,一种用于算术,两种用于阅读。每个模型在注视时间和扫视运动方面都具有实时随机过程的特征,但只考虑扫视的方向和长度,而不考虑加速度或速度。这些模型的一些方面被强调,部分原因是它们在文献中被普遍忽视,这些方面是注视时间的概率分布和扫视方向的随机游走。注视时间的分布近似呈指数型,但模型中存在系统偏差,尽管与数据的拟合并不完美。在加减算术算法的情况下,规范模型的随机游走只有两种可能的走法。数据还提供了回溯,跳跃和徘徊的眼球运动,每一个都有显著的相对频率。第一次读取模型被称为最小控制模型,因为它没有考虑许多局部变量的影响,例如,单词长度,这些已经被广泛研究过。最小控制模型的固定时间定理与算法模型的相同。从算术算法和线性文本中刺激的不同排列抽象出来,这两种模型的跳变运动公理也基本相同。这两种模型的随机性质得到了注视持续时间与先前注视持续时间的独立性数据的有力支持。为该算法模型提供了进一步的详细证据。为了更好地解释阅读过程中对眼球运动有显著影响的各种实验结果,引入了文本依赖的阅读概率模型。重要的局部影响分为三类,分别是行变量、词变量和语法变量。修订后的公理体现了文本的五个重要特征:(1)注视时间取决于单词中字母的数量;(ii)当较长的单词在右侧时,扫视时间更长;(iii)当前注视较长的单词时,扫视时间较长;(4)高频固定词被跳过的概率最高;(5)歧义或困难的语法结构增加了回溯。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Eye-movement models for arithmetic and reading performance.

Three stochastic eye-movement models for arithmetic and reading performance have been proposed, one for arithmetic and two for reading. Each model characterizes a real-time stochastic process in terms of fixation durations and saccadic movement, but only direction and length of saccades are considered, not acceleration or velocity. Aspects of the models that are emphasized, partly because of their general neglect in the literature, are the probability distribution of fixation durations and the random walk of saccade directions. The distributions of fixation duration are approximately exponential, but systematic deviations can be accounted for in the models, even though the fit to data is not perfect. In the case of the arithmetic algorithms of addition and subtraction, the random walk of the normative model has only two possible moves. Data are also presented on backtracking, skipping and wandering eye movements, each of which has a significant relative frequency. The first reading model is called a minimal control model, because it does not take account of the effects of many local variables, e.g., word length, that have been extensively studied. The axioms on fixation duration for the minimal control model are the same as for the arithmetic model. Abstracting from the different arrangement of stimuli in arithmetic algorithms and in linear text, the axioms on saccadic motion for the two models are also essentially identical. The stochastic nature of both models is strongly supported by data on the independence of fixation durations from previous fixation durations. Additional detailed evidence is presented for the arithmetic model. To better account for a great variety of experimental results concerning significant effects on eye movements in reading, a text-dependent probabilistic model of reading is introduced. Significant local effects fall into three classes, identified as line, word and grammatical variables. The revised axioms embody five features of text known to be significant: (i) fixation duration depends on the number of letters in a word; (ii) a saccade is longer when a longer word is to the right; (iii) a saccade is longer when the current fixation is on a longer word; (iv) high-frequency fixation words have the highest probability of being skipped; (v) ambiguous or difficult grammatical structures increase backtracking.

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