For many researchers, eye-movement measures have become instrumental in revealing the moment-to-moment activity of the mind during reading. In general, there has been a great deal of consistency across studies within ...
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For many researchers, eye-movement measures have become instrumental in revealing the moment-to-moment activity of the mind during reading. In general, there has been a great deal of consistency across studies within the eye-movement literature, and researchers have discovered and examined many variables involved in the reading process that affect the nature of readers' eye movements. Despite remarkable progress, however, there are still a number of issues to be resolved. In this article, we discuss three controversial issues: (1) the extent to which eye-movement behavior is affected by low-level oculomotor factors versus higher-level cognitive processes;(2) how much information is extracted from the right of fixation;and (3) whether readers process information from more than one word at a time.
Increasing pressure on internationally operating companies leads to the application of novel technologies, e.g., Machine Learning models. However, Machine Learning algorithms require preprocessing, i.e., data cleaning...
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ISBN:
(纸本)9781665444996
Increasing pressure on internationally operating companies leads to the application of novel technologies, e.g., Machine Learning models. However, Machine Learning algorithms require preprocessing, i.e., data cleaning, which is time consuming and requires domain-specific knowledge. Formalized knowledge bases capture such domain-specific knowledge in a computer-interpretable way and have the potential to reduce manual efforts for this process. This paper presents a framework for semantic preprocessing, which is evaluated at the example of an industrial use case from the semiconductor industry.
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