Suppes P
Institute for Mathematical Studies in the Social Sciences, Stanford University, CA 94305, USA.
Rev Oculomot Res. 1990;4:455-77.
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.
已经提出了三种用于算术和阅读表现的随机眼动模型,一种用于算术,两种用于阅读。每个模型根据注视持续时间和扫视运动来表征一个实时随机过程,但只考虑扫视的方向和长度,而不考虑加速度或速度。这些模型所强调的方面,部分是因为它们在文献中普遍被忽视,是注视持续时间的概率分布和扫视方向的随机游走。注视持续时间的分布近似呈指数分布,但即使与数据的拟合并不完美,模型中也可以解释系统性偏差。在加法和减法的算术算法中,规范模型的随机游走只有两种可能的移动。还给出了关于回溯、跳过和漫游眼动的数据,每种眼动都有显著的相对频率。第一个阅读模型被称为最小控制模型,因为它没有考虑许多已经被广泛研究的局部变量的影响,例如单词长度。最小控制模型关于注视持续时间的公理与算术模型相同。从算术算法和线性文本中刺激的不同排列中抽象出来,这两个模型关于扫视运动的公理也基本相同。注视持续时间与先前注视持续时间的独立性的数据有力地支持了这两个模型的随机性。还为算术模型提供了额外的详细证据。为了更好地解释关于阅读中对眼动有显著影响的各种各样的实验结果,引入了一个与文本相关的阅读概率模型。显著的局部影响分为三类,被确定为行、单词和语法变量。修订后的公理体现了已知具有重要意义的文本的五个特征:(i)注视持续时间取决于单词中的字母数量;(ii)当右边有一个更长的单词时,扫视会更长;(iii)当当前注视在一个更长的单词上时,扫视会更长;(iv)高频注视单词被跳过的概率最高;(v)模糊或困难的语法结构会增加回溯。