1 |
Three New Outcome Measures That Tap Into Cognitive Processes Required for Real-Life Communication
|
|
|
|
In: Ear Hear (2020)
|
|
BASE
|
|
Show details
|
|
3 |
Relations Between Self-Reported Daily-Life Fatigue, Hearing Status, and Pupil Dilation During a Speech Perception in Noise Task
|
|
|
|
In: Ear Hear (2018)
|
|
BASE
|
|
Show details
|
|
4 |
The Pupil Dilation Response During Speech Perception in Dark and Light: The Involvement of the Parasympathetic Nervous System in Listening Effort
|
|
|
|
BASE
|
|
Show details
|
|
5 |
Relations between self-reported daily-life fatigue, hearing status and pupil dilation during a speech perception in noise task
|
|
|
|
BASE
|
|
Show details
|
|
6 |
Relations between self-reported daily-life fatigue, hearing status, and pupil dilation during a speech perception in noise task
|
|
|
|
BASE
|
|
Show details
|
|
7 |
Impact of stimulus-related factors and hearing impairment on listening effort as indicated by pupil dilation
|
|
|
|
BASE
|
|
Show details
|
|
8 |
Impact of Background Noise and Sentence Complexity on Processing Demands during Sentence Comprehension
|
|
|
|
BASE
|
|
Show details
|
|
9 |
How Hearing Impairment Affects Sentence Comprehension: Using Eye Fixations to Investigate the Duration of Speech Processing
|
|
|
|
BASE
|
|
Show details
|
|
10 |
An Eye-Tracking Paradigm for Analyzing the Processing Time of Sentences with Different Linguistic Complexities
|
|
|
|
Abstract:
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.
|
|
Keyword:
Research Article
|
|
URL: https://doi.org/10.1371/journal.pone.0100186 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4065036 http://www.ncbi.nlm.nih.gov/pubmed/24950184
|
|
BASE
|
|
Hide details
|
|
13 |
Characterizing sensory and cognitive factors of human speech processing through eye movements
|
|
|
|
BASE
|
|
Show details
|
|
|
|