Word skipping in deaf and hearing bilinguals: Cognitive control over eye movements remains with increased perceptual span

2021 ◽  
pp. 1-30
Author(s):  
Matthew J. Traxler ◽  
Timothy Banh ◽  
Madeline M. Craft ◽  
Kurt Winsler ◽  
Trevor A. Brothers ◽  
...  
Keyword(s):  
Eye Movements ◽  
Cognitive Control ◽  
American Sign Language ◽  
Word Processing ◽  
Native English Speakers ◽  
English Speakers ◽  
Lexical Frequency ◽  
Processing Efficiency ◽  
Movement Data ◽  
Deaf Readers

Abstract Deaf readers may have larger perceptual spans than ability-matched hearing native English readers, allowing them to read more efficiently (Belanger & Rayner, 2015). To further test the hypothesis that deaf and hearing readers have different perceptual spans, the current study uses eye-movement data from two experiments in which deaf American Sign Language–English bilinguals, hearing native English speakers, and hearing Chinese–English bilinguals read semantically unrelated sentences and answered comprehension questions after a proportion of them. We analyzed skip rates, fixation times, and accuracy on comprehension questions. In addition, we analyzed how lexical properties of words affected skipping behavior and fixation durations. Deaf readers skipped words more often than native English speakers, who skipped words more often than Chinese–English bilinguals. Deaf readers had shorter first-pass fixation times than the other two groups. All groups’ skipping behaviors were affected by lexical frequency. Deaf readers’ comprehension did not differ from hearing Chinese–English bilinguals, despite greater skipping and shorter fixation times. Overall, the eye-tracking findings align with Belanger’s word processing efficiency hypothesis. Effects of lexical frequency on skipping behavior indicated further that eye movements during reading remain under cognitive control in deaf readers.

Young Deaf Readers' Word Processing Efficiency

2014 ◽  
Author(s):  
Nathalie Belanger ◽  
Elizabeth Schotter ◽  
Keith Rayner
Keyword(s):  
Word Processing ◽  
Processing Efficiency ◽  
Deaf Readers

ELECTROOCULOGRAPHY BASED READING SPEED ANALYSIS AS AN ASSISTIVE TOOL

2015 ◽  
Vol 27 (02) ◽  
pp. 1550016 ◽  
Author(s):  
Anwesha Banerjee ◽  
Shreyasi Datta ◽  
Monalisa Pal ◽  
D. N. Tibarewala ◽  
Amit Konar
Keyword(s):  
Eye Movements ◽  
Word Processing ◽  
Reading Speed ◽  
Misclassification Rate ◽  
Interactive System ◽  
Support Vector ◽  
Movement Data ◽  
Signal Features ◽  
Normal Individuals ◽  
Tree Classifier

Dyslexia is a well-known reading disorder that involves difficulty in fluent reading, decoding and processing of words despite adequate intelligence. It is common that the reading speed of dyslexic patients is lower than their normal counterparts, because of slow letter and word processing. Eye movements in dyslexic patients are significantly different from that of normal individuals, in terms of the presence of frequent fixations and stares in the former. This work proposes a Human Computer Interactive system to assist individuals having low reading speed to increase their reading speed by the analysis of eye movements. Eye movement data for different reading speeds is recorded using a laboratory developed Electrooculogram acquisition system. From the data, Adaptive Autoregressive (AAR) parameters, Band Power Estimates and Wavelet Coefficients are extracted as signal features. Reading speeds are classified using different pattern classifiers from which an average accuracy of 94.67% over all classes and participants is obtained using Radial Basis Function (RBF) Support Vector Machine (SVM) Tree classifier and AAR Parameters as features. Friedman test is done to select the best classifier. The trained classifier is used to recognize the reading speeds of a set of new normal individuals. If the reading speeds are less than a preset threshold, that individual is trained repeatedly for 10 days for improvement. An improvement of reading speed is observed by the decrease in the misclassification rate from 45.1% to 9.92% in 10 days for the fastest speed (1 sentence/2 s) over all the subjects. This work is carried out on healthy individuals. However, the results reveal that the proposed system may also be used for training and assisting children with dyslexia or other similar reading disabilities children.

Age Differences in Eye Movements During Reading: Degenerative Problems or Compensatory Strategy?

2019 ◽  
Vol 24 (4) ◽  
pp. 297-311
Author(s):  
José David Moreno ◽  
José A. León ◽  
Lorena A. M. Arnal ◽  
Juan Botella
Keyword(s):  
Eye Movements ◽  
Eye Movement ◽  
Meta Analysis ◽  
Age Groups ◽  
Behavioral Changes ◽  
Aging Effects ◽  
Movement Data ◽  
Sentence Reading ◽  
The Difference ◽  
Eye Movements During Reading

Abstract. We report the results of a meta-analysis of 22 experiments comparing the eye movement data obtained from young ( Mage = 21 years) and old ( Mage = 73 years) readers. The data included six eye movement measures (mean gaze duration, mean fixation duration, total sentence reading time, mean number of fixations, mean number of regressions, and mean length of progressive saccade eye movements). Estimates were obtained of the typified mean difference, d, between the age groups in all six measures. The results showed positive combined effect size estimates in favor of the young adult group (between 0.54 and 3.66 in all measures), although the difference for the mean number of fixations was not significant. Young adults make in a systematic way, shorter gazes, fewer regressions, and shorter saccadic movements during reading than older adults, and they also read faster. The meta-analysis results confirm statistically the most common patterns observed in previous research; therefore, eye movements seem to be a useful tool to measure behavioral changes due to the aging process. Moreover, these results do not allow us to discard either of the two main hypotheses assessed for explaining the observed aging effects, namely neural degenerative problems and the adoption of compensatory strategies.

The cognitive saliency of word associations of verbs of speech in English as a Lingua Franca interactions

2020 ◽  
Vol 17 (4) ◽  
pp. 417-443
Author(s):  
Yang Pang
Keyword(s):  
Common Ground ◽  
Native Speakers ◽  
Native English Speakers ◽  
Target Language ◽  
English Speakers ◽  
Cognitive Approach ◽  
Lingua Franca ◽  
Word Associations ◽  
Similar Word ◽  
Speech Communities

AbstractBuilding on the theoretical insights into the socio-cognitive approach to the study of interactions in which English is used as a lingua franca (ELF)), this paper reports on the idiosyncratic phenomenon that ELF speakers do not adhere to the norms of native speakers, but instead create their own particular word associations during the course of the interaction. Taking the verbs of speech talk, say, speak, and tell as examples, this study compares word associations from three corpora of native and non-native speakers. The findings of this study reveal that similar word associative patterns are produced and shared by ELF speech communities from different sociocultural backgrounds, and these differ substantially from those used by native English speakers. Idiom-like constructions such as say like, how to say, and speakin are developed and utilized by Asian and European ELF speakers. Based on these findings, this paper concludes that ELF speakers use the prefabricated expressions in the target language system only as references, and try to develop their own word associative patterns in ELF interactions. Moreover, the analysis of the non-literalness/metaphorical word associations of the verbs of speech in the Asian ELF corpus suggests that ELF speakers dynamically co-construct their shared common ground to derive non-literal/metaphorical meaning in actual situational context.

scholarly journals Directed Gaze Trajectories for Biometric Presentation Attack Detection

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1394
Author(s):  
Asad Ali ◽  
Sanaul Hoque ◽  
Farzin Deravi
Keyword(s):  
Eye Movements ◽  
Visual Stimuli ◽  
Attack Detection ◽  
Movement Data ◽  
Biometric Systems ◽  
Planar Geometries ◽  
Presentation Attack Detection

Presentation attack artefacts can be used to subvert the operation of biometric systems by being presented to the sensors of such systems. In this work, we propose the use of visual stimuli with randomised trajectories to stimulate eye movements for the detection of such spoofing attacks. The presentation of a moving visual challenge is used to ensure that some pupillary motion is stimulated and then captured with a camera. Various types of challenge trajectories are explored on different planar geometries representing prospective devices where the challenge could be presented to users. To evaluate the system, photo, 2D mask and 3D mask attack artefacts were used and pupillary movement data were captured from 80 volunteers performing genuine and spoofing attempts. The results support the potential of the proposed features for the detection of biometric presentation attacks.

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