Publications by authors named "Aaron D Mitchel"

Adults are able to use visual prosodic cues in the speaker's face to segment speech. Furthermore, eye-tracking data suggest that learners will shift their gaze to the mouth during visual speech segmentation. Although these findings suggest that the mouth may be viewed more than the eyes or nose during visual speech segmentation, no study has examined the direct functional importance of individual features; thus, it is unclear which visual prosodic cues are important for word segmentation.

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Background: Qualitatively atypical language development characterized by non-sequential skill acquisition within a developmental domain, which has been called developmental deviance or difference, is a common characteristic of autism spectrum disorder (ASD). We developed the Response Dispersion Index (RDI), a measure of this phenomenon based on intra-subtest scatter of item responses on standardized psychometric assessments, to assess the within-task variability among individuals with language impairment (LI) and/or ASD.

Methods: Standard clinical assessments of language were administered to 502 individuals from the New Jersey Language and Autism Genetics Study (NJLAGS) cohort.

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One challenge for speech perception is between-speaker variability in the acoustic parameters of speech. For example, the same phoneme (e.g.

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Speech is inextricably multisensory: both auditory and visual components provide critical information for all aspects of speech processing, including speech segmentation, the visual components of which have been the target of a growing number of studies. In particular, a recent study (Mitchel and Weiss, 2014) established that adults can utilize facial cues (i.e.

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Speech is typically a multimodal phenomenon, yet few studies have focused on the exclusive contributions of visual cues to language acquisition. To address this gap, we investigated whether visual prosodic information can facilitate speech segmentation. Previous research has demonstrated that language learners can use lexical stress and pitch cues to segment speech and that learners can extract this information from talking faces.

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Recent advances in the field of statistical learning have established that learners are able to track regularities of multimodal stimuli, yet it is unknown whether the statistical computations are performed on integrated representations or on separate, unimodal representations. In the present study, we investigated the ability of adults to integrate audio and visual input during statistical learning. We presented learners with a speech stream synchronized with a video of a speaker's face.

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Article Synopsis
  • This study investigates the relationship between brain structure and social cognition in healthy young adults, focusing on how brain anomalies may tie to behaviors typically seen in neurodevelopmental disorders.
  • Twenty-two participants were assessed using various quantitative measures of social cognition while undergoing MRI scans to analyze brain volume and asymmetry.
  • Results indicated that deviations in brain structures, particularly in areas like the caudate and amygdala, were linked to specific social behaviors and cognitive styles, enhancing our understanding of social cognition in both healthy individuals and those with neurodevelopmental disorders.
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It is currently unknown whether statistical learning is supported by modality-general or modality-specific mechanisms. One issue within this debate concerns the independence of learning in one modality from learning in other modalities. In the present study, the authors examined the extent to which statistical learning across modalities is independent by simultaneously presenting learners with auditory and visual streams.

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Studies using artificial language streams indicate that infants and adults can use statistics to correctly segment words. However, most studies have utilized only a single input language. Given the prevalence of bilingualism, how is multiple language input segmented? One particular problem may occur if learners combine input across languages: the statistics of particular units that overlap different languages may subsequently change and disrupt correct segmentation.

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Poetic devices like alliteration can heighten readers' aesthetic experiences and enhance poets' recall of their epic pieces. The effects of such devices on memory for and appreciation of poetry are well known; however, the mechanisms underlying these effects are not yet understood. We used current theories of language comprehension as a framework for understanding how alliteration affects comprehension processes.

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