AIMC Topic: Reading

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An automated behavioral measure of mind wandering during computerized reading.

Behavior research methods Feb 1, 2018
Mind wandering is a ubiquitous phenomenon in which attention shifts from task-related to task-unrelated thoughts. The last decade has witnessed an explosion of interest in mind wandering, but research has been stymied by a lack of objective measures,...
Young Adult Male Female Reproducibility of Results Reading Fixation, Ocular Psychophysiology Attention Comprehension Humans Machine Learning Computers
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The 'time machine' reconstructing ancient Venice's social networks.

Nature Jun 14, 2017
Plague History, 18th Century History, Medieval Democracy History, 15th Century History, 16th Century History, 17th Century Datasets as Topic History, 21st Century Manuscripts as Topic Automation Banking, Personal Books Commerce Famous Persons Reading Robotics Social Networking Humans Maps as Topic Italy Social Change Machine Learning History, 20th Century Animals History, 19th Century Archives Handwriting
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Using support vector machines to identify literacy skills: Evidence from eye movements.

Behavior research methods Jun 1, 2017
Is inferring readers' literacy skills possible by analyzing their eye movements during text reading? This study used Support Vector Machines (SVM) to analyze eye movement data from 61 undergraduate students who read a multiple-paragraph, multiple-top...
Humans Young Adult Adult Algorithms Female Literacy Support Vector Machine Reading Male Eye Movements
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Machine Learning Based Evaluation of Reading and Writing Difficulties.

Studies in health technology and informatics Jan 1, 2017
The possibility of auto evaluation of reading and writing difficulties was investigated using non-parametric machine learning (ML) regression technique for URAWSS (Understanding Reading and Writing Skills of Schoolchildren) [1] test data of 168 child...
Writing Dyslexia Reading Persons with Disabilities Humans Self-Help Devices Machine Learning
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Constructing and validating readability models: the method of integrating multilevel linguistic features with machine learning.

Behavior research methods Jun 1, 2015
Multilevel linguistic features have been proposed for discourse analysis, but there have been few applications of multilevel linguistic features to readability models and also few validations of such models. Most traditional readability formulae are ...
Reproducibility of Results Comprehension Humans Linguistics Models, Psychological Machine Learning Support Vector Machine Reading
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