An Eye-Tracking Paradigm for Analyzing the Processing Time of Sentences with Different Linguistic Complexities
Author(s) -
Dorothea Wendt,
Thomas Brand,
Birger Kollmeier
Publication year - 2014
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0100186
Subject(s) - sentence , sentence processing , eye tracking , comprehension , computer science , eye movement , linguistic sequence complexity , fixation (population genetics) , speech processing , deep linguistic processing , german , natural language processing , cognition , speech recognition , information processing , artificial intelligence , linguistics , psychology , cognitive psychology , medicine , population , philosophy , environmental health , neuroscience , programming language
An eye-tracking paradigm was developed for use in audiology in order to enable online analysis of the speech comprehension process. This paradigm should be useful in assessing impediments in speech processing. In this paradigm, two scenes, a target picture and a competitor picture, were presented simultaneously with an aurally presented sentence that corresponded to the target picture. At the same time, eye fixations were recorded using an eye-tracking device. The effect of linguistic complexity on language processing time was assessed from eye fixation information by systematically varying linguistic complexity. This was achieved with a sentence corpus containing seven German sentence structures. A novel data analysis method computed the average tendency to fixate the target picture as a function of time during sentence processing. This allowed identification of the point in time at which the participant understood the sentence, referred to as the decision moment. Systematic differences in processing time were observed as a function of linguistic complexity. These differences in processing time may be used to assess the efficiency of cognitive processes involved in resolving linguistic complexity. Thus, the proposed method enables a temporal analysis of the speech comprehension process and has potential applications in speech audiology and psychoacoustics.
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