How Young Children Treat Objects and People: An Empirical Study of the First Year of Life in Autism

Maestro, Sandra; Muratori, Filippo; Cavallaro, Maria Cristina; Pecini, Chiara; Cesari, A; Paziente, Antonella; Stern, Daniel N.; Golse, Bernard; Palacio-Espasa, Francisco

doi:10.1007/s10578-005-2695-x

Cited by 94 publications

(69 citation statements)

References 26 publications

(19 reference statements)

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“…ASD is characterized by difficulties in social interaction and communication, as well as narrowed interest. Clinical observations often report atypical patterns of mutual gaze behaviour 64 , which can be found early in ontogeny 65 . The results of recent studies on eye contact processing in ASD are mixed.…”

Section: Box 4: Atypical Eye Contact In Individuals With Asdmentioning

confidence: 99%

The eye contact effect: mechanisms and development

Senju

Johnson

2009

Trends in Cognitive Sciences

663

645

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The "eye contact effect" is the phenomenon that perceived eye contact with another human face modulates certain aspects of the concurrent and/or immediately following cognitive processing. In addition, functional imaging studies in adults have revealed that eye contact can modulate activity in structures in the social brain network, and developmental studies show evidence for preferential orienting toward, and processing of, faces with direct gaze from early in life. We review different theories of the eye contact effect and advance a 'fast-track modulator' model. Specifically, we hypothesize that perceived eye contact is initially detected by a subcortical route, which then modulates the activation of the social brain as it processes the accompanying detailed sensory information.

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Section: Box 4: Atypical Eye Contact In Individuals With Asdmentioning

confidence: 99%

The eye contact effect: mechanisms and development

Senju

Johnson

2009

Trends in Cognitive Sciences

663

645

View full text Add to dashboard Cite

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“…Table 2 summarizes studies in which emerging markers over the first 12 months of life were assessed. 22,32,38,45,46,48,49,[71][72][73][74][75][76][77][78] Some researchers reported no behavioral differences at the age of 6 months in social communication behaviors 22 or in language or motor development 49,66 between infants who were later diagnosed with ASD and those with a later diagnosis of typical development. Other studies, which have also included outcome measures, suggest that there may be differences during the age range of 6 to 12 months in social attention (social gaze or orienting to name being called), 32,74 atypical sensory behaviors, 32 repetitive or otherwise atypical motor behaviors, and nonverbal communication (differences in gesture use).…”

Section: Statementmentioning

confidence: 99%

Early Identification of Autism Spectrum Disorder: Recommendations for Practice and Research

Zwaigenbaum

Bauman

Stone³

et al. 2015

Pediatrics

312

229

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Early identification of autism spectrum disorder (ASD) is essential to ensure that children can access specialized evidence-based interventions that can help to optimize long-term outcomes. Early identification also helps shorten the stressful "diagnostic odyssey" that many families experience before diagnosis. There have been important advances in research into the early development of ASDs, incorporating prospective designs and new technologies aimed at more precisely delineating the early emergence of ASD. Thus, an updated review of the state of the science of early identification of ASD was needed to inform best practice. These issues were the focus of a multidisciplinary panel of clinical practitioners and researchers who completed a literature review and reached consensus on current evidence addressing the question "What are the earliest signs and symptoms of ASD in children aged #24 months that can be used for early identification?" Summary statements address current knowledge on early signs of ASD, potential contributions and limitations of prospective research with high-risk infants, and priorities for promoting the incorporation of this knowledge into clinical practice and future research. Pediatrics 2015;136:S10-S40

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“…All sequences were extracted from the Pisa home movies database, which includes home movies from the first 18 months of life for three groups of children (typically developing, autistic, mentally retarded) [23].…”

Section: Home Movie: Speech Corpusmentioning

confidence: 99%

Supervised and semi-supervised infant-directed speech classification for parent-infant interaction analysis

Mahdhaoui

Chétouani

2011

Speech Communication

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Please cite this article as: Mahdhaoui, A., Chetouani, M., Supervised and semi-supervised infant-directed speech classification for parent-infant interaction analysis, Speech Communication (2011Communication ( ), doi: 10.1016Communication ( /j.specom. 2011 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. AbstractThis paper describes the development of an infant-directed speech discrimination system for parent-infant interaction analysis. Different feature sets for emotion recognition were investigated using two classification techniques: supervised and semi-supervised. The classification experiments were carried out with short pre-segmented adultdirected speech and infant-directed speech segments extracted from real-life family home movies (with durations typically between 0.5 s and 4 s). The experimental results show that in the case of supervised learning, spectral features play a major role in the infant-directed speech discrimination. However, a major difficulty of using natural corpora is that the annotation process is time-consuming, and the expression of emotion is much more complex than in acted speech. Furthermore, interlabeler agreement and annotation label confidences are important issues to address.To overcome these problems, we propose a new semi-supervised approach based on the standard co-training algorithm exploiting labelled and unlabelled data. It offers a framework to take advantage of supervised classifiers trained by different features. The proposed dynamic weighted co-training approach combines various features and classifiers usually used in emotion recognition in order to learn from different views. Our experiments demonstrate the validity and effectiveness of this method for a real-life corpus such as home movies.

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How Young Children Treat Objects and People: An Empirical Study of the First Year of Life in Autism

Cited by 94 publications

References 26 publications

The eye contact effect: mechanisms and development

The eye contact effect: mechanisms and development

Early Identification of Autism Spectrum Disorder: Recommendations for Practice and Research

Supervised and semi-supervised infant-directed speech classification for parent-infant interaction analysis

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