The emergence of adaptive eye movements in reading

Simulations were completed using artificial reading “agents” that are subject to known physiological (e.g., limited visual acuity) and psychological (e.g., limited attention) constraints and capable of learning to move their eyes and allocate attention to read as efficiently as possible. These simulations indicate that agents learn when and where to move their eyes to attain maximal reading efficiency, generalize this behavior from training sentences to novel test sentences, and use word length to predict word-identification times and thereby make optimal decisions about when to initiate saccadic programming—even if word length is only moderately predictive of word-identification times. These results suggest that humans may exploit even modestly informative cues in learning to decide when to move their eyes during reading.

[1]  Reinhold Kliegl,et al.  SWIFT: a dynamical model of saccade generation during reading. , 2005, Psychological review.

[2]  Erik D. Reichle,et al.  Models of eye-movement control during reading. , 2004 .

[3]  Risto Miikkulainen,et al.  Evolving Neural Networks through Augmenting Topologies , 2002, Evolutionary Computation.

[4]  Ralf Engbert,et al.  A dynamical model of saccade generation in reading based on spatially distributed lexical processing , 2002, Vision Research.

[5]  M A Just,et al.  A theory of reading: from eye fixations to comprehension. , 1980, Psychological review.

[6]  Richard S. Sutton,et al.  Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.

[7]  P Suppes,et al.  Eye-movement models for arithmetic and reading performance. , 1990, Reviews of oculomotor research.

[8]  Erik D. Reichle Computational models of eye-movement control during reading: Theories of the “eye–mind” link , 2006, Cognitive Systems Research.

[9]  Gary E. Raney,et al.  Eye movement control in reading: a comparison of two types of models. , 1996, Journal of experimental psychology. Human perception and performance.

[10]  Erik D. Reichle,et al.  Using E-Z reader to model the effects of higher level language processing on eye movements during reading , 2009, Psychonomic bulletin & review.

[11]  Erik D. Reichle,et al.  Toward a model of eye movement control in reading. , 1998, Psychological review.

[12]  Shun-Nan Yang,et al.  An oculomotor-based model of eye movements in reading: The competition/interaction model , 2006, Cognitive Systems Research.

[13]  D. Geary,et al.  Psychonomic Bulletin Review , 2000 .

[14]  Alexander Pollatsek,et al.  Encoding multiple words simultaneously in reading is implausible , 2009, Trends in Cognitive Sciences.

[15]  P. W. Kerr,et al.  Eye movement control during reading: I. The location of initial eye fixations on words , 1987, Vision Research.

[16]  R. Reilly,et al.  Eye movement control during reading: A simulation of some word-targeting strategies , 1998, Vision Research.

[17]  Gary Feng,et al.  Eye movements as time-series random variables: A stochastic model of eye movement control in reading , 2006, Cognitive Systems Research.

[18]  R H S Carpenter,et al.  An anatomically constrained, stochastic model of eye movement control in reading. , 2005, Psychological review.

[19]  Dario D. Salvucci An integrated model of eye movements and visual encoding , 2001, Cognitive Systems Research.

[20]  Erik D. Reichle,et al.  The E-Z Reader model of eye-movement control in reading: Comparisons to other models , 2003, Behavioral and Brain Sciences.

[21]  Eileen Kowler Eye movements and their role in visual and cognitive processes. , 1990, Reviews of oculomotor research.

[22]  C. A. Weaver,et al.  Psychology of Reading , 2012 .

[23]  K. Rayner,et al.  Lexical complexity and fixation times in reading: Effects of word frequency, verb complexity, and lexical ambiguity , 1986, Memory & cognition.

[24]  K. Rayner Eye movements in reading and information processing: 20 years of research. , 1998, Psychological bulletin.

[25]  K. Rayner,et al.  Parafoveal word processing during eye fixations in reading: Effects of word frequency , 1986, Perception & psychophysics.

[26]  Petros Koumoutsakos,et al.  Reducing the Time Complexity of the Derandomized Evolution Strategy with Covariance Matrix Adaptation (CMA-ES) , 2003, Evolutionary Computation.

[27]  Ronan G. Reilly,et al.  Some empirical tests of an interactive activation model of eye movement control in reading , 2006, Cognitive Systems Research.

[28]  Erik D. Reichle,et al.  Using reinforcement learning to understand the emergence of "intelligent" eye-movement behavior during reading. , 2006, Psychological review.