97 recherche sur le mot-clé 'eye tracking'

Eye Tracking Biomarkers for Autism Spectrum Disorder Detection using Machine Learning and Deep Learning Techniques: Review / R. ASMETHA JEYARANI in Research in Autism Spectrum Disorders, 108 (October 2023)  

Public ISBD [article]  inResearch in Autism Spectrum Disorders > 108 (October 2023) . - p.102228 Titre : Eye Tracking Biomarkers for Autism Spectrum Disorder Detection using Machine Learning and Deep Learning Techniques: Review Type de document : Texte imprimé et/ou numérique Auteurs : R. ASMETHA JEYARANI, Auteur ; Radha SENTHILKUMAR, Auteur Article en page(s) : p.102228 Mots-clés : Autism Spectrum Disorder  Eye tracking  Deep learning  Machine learning  Biomarker Index. décimale : PER Périodiques Résumé : Eye tracking is a promising tool for Autism Spectrum Disorder (ASD) detection in both children and adults. An important aspect of social communication is keeping eye contact, which is something that people with ASD frequently struggle with. Eye tracking can assess the duration of eye contact and the frequency and direction of gaze movements, offering quantifiable indicators of social communication deficits. People with ASD may also demonstrate other abnormalities in visual processing, such as an increased concentration on detail, sensory sensitivity, and trouble with complicated visual activities. These variations can be measured via Eye tracking, which offers critical information for the planning of therapy and diagnosis. The primary objective of this work is to provide a thorough description of the most recent studies that use Eye tracking combined with various Machine Learning (ML) and Deep Learning (DL) models for the detection of ASD. This will provide insights into the identification, and behavioral assessment, and distinguish between autistic people and those who are Typically Developing (TD). A detailed review of the various ML and DL models with their datasets and performance criteria is presented. Different types of eye movement datasets with diagnostic standards and eye tracker devices are also discussed. Finally, the study addresses the potential of gaze prediction in ASD patients for the design of interventions. En ligne : https://doi.org/10.1016/j.rasd.2023.102228 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=514 [article] Eye Tracking Biomarkers for Autism Spectrum Disorder Detection using Machine Learning and Deep Learning Techniques: Review [Texte imprimé et/ou numérique] / R. ASMETHA JEYARANI, Auteur ; Radha SENTHILKUMAR, Auteur . - p.102228. in Research in Autism Spectrum Disorders > 108 (October 2023) . - p.102228 Mots-clés : Autism Spectrum Disorder  Eye tracking  Deep learning  Machine learning  Biomarker Index. décimale : PER Périodiques Résumé : Eye tracking is a promising tool for Autism Spectrum Disorder (ASD) detection in both children and adults. An important aspect of social communication is keeping eye contact, which is something that people with ASD frequently struggle with. Eye tracking can assess the duration of eye contact and the frequency and direction of gaze movements, offering quantifiable indicators of social communication deficits. People with ASD may also demonstrate other abnormalities in visual processing, such as an increased concentration on detail, sensory sensitivity, and trouble with complicated visual activities. These variations can be measured via Eye tracking, which offers critical information for the planning of therapy and diagnosis. The primary objective of this work is to provide a thorough description of the most recent studies that use Eye tracking combined with various Machine Learning (ML) and Deep Learning (DL) models for the detection of ASD. This will provide insights into the identification, and behavioral assessment, and distinguish between autistic people and those who are Typically Developing (TD). A detailed review of the various ML and DL models with their datasets and performance criteria is presented. Different types of eye movement datasets with diagnostic standards and eye tracker devices are also discussed. Finally, the study addresses the potential of gaze prediction in ASD patients for the design of interventions. En ligne : https://doi.org/10.1016/j.rasd.2023.102228 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=514

Eye Tracking Effort Expenditure and Autonomic Arousal to Social and Circumscribed Interest Stimuli in Autism Spectrum Disorder / J. M. TRAYNOR in Journal of Autism and Developmental Disorders, 49-5 (May 2019)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 49-5 (May 2019) . - p.1988-2002 Titre : Eye Tracking Effort Expenditure and Autonomic Arousal to Social and Circumscribed Interest Stimuli in Autism Spectrum Disorder Type de document : Texte imprimé et/ou numérique Auteurs : J. M. TRAYNOR, Auteur ; A. GOUGH, Auteur ; E. DUKU, Auteur ; David I. SHORE, Auteur ; G. B. C. HALL, Auteur Article en page(s) : p.1988-2002 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder  Circumscribed interests  Eye tracking  Pupillometry  Repetitive behaviours  Social communication deficits Index. décimale : PER Périodiques Résumé : The social communicative deficits and repetitive behaviours seen in Autism Spectrum Disorder (ASD) may be affected by altered stimulus salience and reward attribution. The present study used eye tracking and a behavioural measure to index effort expenditure, arousal, and attention, during viewing of images depicting social scenes and subject-specific circumscribed interests in a group of 10 adults with ASD (mean age 25.4 years) and 19 typically-developing controls (mean age 20.7 years) Split-plot and one-way repeated measures ANOVAs were used to explore results. A significant difference between the ASD and control group was found in the amount of effort expended to view social and circumscribed images. The ASD group also displayed significant differences in pupillary response to social and circumscribed images, indicative of changes in autonomic arousal. Overall, the results support the social motivation hypothesis in ASD (Chevallier et al., Trends Cogn Sci 16(4):231-239, 2012) and suggest a role for autonomic arousal in the ASD symptom dyad. En ligne : http://dx.doi.org/10.1007/s10803-018-03877-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=393 [article] Eye Tracking Effort Expenditure and Autonomic Arousal to Social and Circumscribed Interest Stimuli in Autism Spectrum Disorder [Texte imprimé et/ou numérique] / J. M. TRAYNOR, Auteur ; A. GOUGH, Auteur ; E. DUKU, Auteur ; David I. SHORE, Auteur ; G. B. C. HALL, Auteur . - p.1988-2002. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 49-5 (May 2019) . - p.1988-2002 Mots-clés : Autism spectrum disorder  Circumscribed interests  Eye tracking  Pupillometry  Repetitive behaviours  Social communication deficits Index. décimale : PER Périodiques Résumé : The social communicative deficits and repetitive behaviours seen in Autism Spectrum Disorder (ASD) may be affected by altered stimulus salience and reward attribution. The present study used eye tracking and a behavioural measure to index effort expenditure, arousal, and attention, during viewing of images depicting social scenes and subject-specific circumscribed interests in a group of 10 adults with ASD (mean age 25.4 years) and 19 typically-developing controls (mean age 20.7 years) Split-plot and one-way repeated measures ANOVAs were used to explore results. A significant difference between the ASD and control group was found in the amount of effort expended to view social and circumscribed images. The ASD group also displayed significant differences in pupillary response to social and circumscribed images, indicative of changes in autonomic arousal. Overall, the results support the social motivation hypothesis in ASD (Chevallier et al., Trends Cogn Sci 16(4):231-239, 2012) and suggest a role for autonomic arousal in the ASD symptom dyad. En ligne : http://dx.doi.org/10.1007/s10803-018-03877-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=393

Applying Eye Tracking to Identify Autism Spectrum Disorder in Children / G. WAN in Journal of Autism and Developmental Disorders, 49-1 (January 2019)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 49-1 (January 2019) . - p.209-215 Titre : Applying Eye Tracking to Identify Autism Spectrum Disorder in Children Type de document : Texte imprimé et/ou numérique Auteurs : G. WAN, Auteur ; X. KONG, Auteur ; B. SUN, Auteur ; S. YU, Auteur ; Y. TU, Auteur ; J. PARK, Auteur ; C. LANG, Auteur ; M. KOH, Auteur ; Z. WEI, Auteur ; Z. FENG, Auteur ; Y. LIN, Auteur ; J. KONG, Auteur Article en page(s) : p.209-215 Langues : Anglais (eng) Mots-clés : Autism  Eye tracking  Face  Fixation time  Machine learning Index. décimale : PER Périodiques Résumé : Eye tracking (ET) holds potential for the early detection of autism spectrum disorder (ASD). To overcome the difficulties of working with young children, developing a short and informative paradigm is crucial for ET. We investigated the fixation times of 37 ASD and 37 typically developing (TD) children ages 4-6 watching a 10-second video of a female speaking. ASD children showed significant reductions in fixation time at six areas of interest. Furthermore, discriminant analysis revealed fixation times at the mouth and body could significantly discriminate ASD from TD with a classification accuracy of 85.1%, sensitivity of 86.5%, and specificity of 83.8%. Our study suggests that a short video clip may provide enough information to distinguish ASD from TD children. En ligne : http://dx.doi.org/10.1007/s10803-018-3690-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=377 [article] Applying Eye Tracking to Identify Autism Spectrum Disorder in Children [Texte imprimé et/ou numérique] / G. WAN, Auteur ; X. KONG, Auteur ; B. SUN, Auteur ; S. YU, Auteur ; Y. TU, Auteur ; J. PARK, Auteur ; C. LANG, Auteur ; M. KOH, Auteur ; Z. WEI, Auteur ; Z. FENG, Auteur ; Y. LIN, Auteur ; J. KONG, Auteur . - p.209-215. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 49-1 (January 2019) . - p.209-215 Mots-clés : Autism  Eye tracking  Face  Fixation time  Machine learning Index. décimale : PER Périodiques Résumé : Eye tracking (ET) holds potential for the early detection of autism spectrum disorder (ASD). To overcome the difficulties of working with young children, developing a short and informative paradigm is crucial for ET. We investigated the fixation times of 37 ASD and 37 typically developing (TD) children ages 4-6 watching a 10-second video of a female speaking. ASD children showed significant reductions in fixation time at six areas of interest. Furthermore, discriminant analysis revealed fixation times at the mouth and body could significantly discriminate ASD from TD with a classification accuracy of 85.1%, sensitivity of 86.5%, and specificity of 83.8%. Our study suggests that a short video clip may provide enough information to distinguish ASD from TD children. En ligne : http://dx.doi.org/10.1007/s10803-018-3690-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=377

Comparing Automatic Eye Tracking and Manual Gaze Coding Methods in Young Children with Autism Spectrum Disorder / Courtney E. VENKER in Autism Research, 13-2 (February 2020)  

Public ISBD [article]  inAutism Research > 13-2 (February 2020) . - p.271-283 Titre : Comparing Automatic Eye Tracking and Manual Gaze Coding Methods in Young Children with Autism Spectrum Disorder Type de document : Texte imprimé et/ou numérique Auteurs : Courtney E. VENKER, Auteur ; Ron POMPER, Auteur ; Tristan MAHR, Auteur ; Jan EDWARDS, Auteur ; Jenny SAFFRAN, Auteur ; Susan ELLIS WEISMER, Auteur Article en page(s) : p.271-283 Langues : Anglais (eng) Mots-clés : autism  children  data quality  eye tracking  language processing  methodology Index. décimale : PER Périodiques Résumé : Eye-gaze methods offer numerous advantages for studying cognitive processes in children with autism spectrum disorder (ASD), but data loss may threaten the validity and generalizability of results. Some eye-gaze systems may be more vulnerable to data loss than others, but to our knowledge, this issue has not been empirically investigated. In the current study, we asked whether automatic eye-tracking and manual gaze coding produce different rates of data loss or different results in a group of 51 toddlers with ASD. Data from both systems were gathered (from the same children) simultaneously, during the same experimental sessions. As predicted, manual gaze coding produced significantly less data loss than automatic eye tracking, as indicated by the number of usable trials and the proportion of looks to the images per trial. In addition, automatic eye-tracking and manual gaze coding produced different patterns of results, suggesting that the eye-gaze system used to address a particular research question could alter a study's findings and the scientific conclusions that follow. It is our hope that the information from this and future methodological studies will help researchers to select the eye-gaze measurement system that best fits their research questions and target population, as well as help consumers of autism research to interpret the findings from studies that utilize eye-gaze methods with children with ASD. Autism Res 2020, 13: 271-283. (c) 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: The current study found that automatic eye-tracking and manual gaze coding produced different rates of data loss and different overall patterns of results in young children with ASD. These findings show that the choice of eye-gaze system may impact the findings of a study-important information for both researchers and consumers of autism research. En ligne : http://dx.doi.org/10.1002/aur.2225 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=420 [article] Comparing Automatic Eye Tracking and Manual Gaze Coding Methods in Young Children with Autism Spectrum Disorder [Texte imprimé et/ou numérique] / Courtney E. VENKER, Auteur ; Ron POMPER, Auteur ; Tristan MAHR, Auteur ; Jan EDWARDS, Auteur ; Jenny SAFFRAN, Auteur ; Susan ELLIS WEISMER, Auteur . - p.271-283. Langues : Anglais (eng) in Autism Research > 13-2 (February 2020) . - p.271-283 Mots-clés : autism  children  data quality  eye tracking  language processing  methodology Index. décimale : PER Périodiques Résumé : Eye-gaze methods offer numerous advantages for studying cognitive processes in children with autism spectrum disorder (ASD), but data loss may threaten the validity and generalizability of results. Some eye-gaze systems may be more vulnerable to data loss than others, but to our knowledge, this issue has not been empirically investigated. In the current study, we asked whether automatic eye-tracking and manual gaze coding produce different rates of data loss or different results in a group of 51 toddlers with ASD. Data from both systems were gathered (from the same children) simultaneously, during the same experimental sessions. As predicted, manual gaze coding produced significantly less data loss than automatic eye tracking, as indicated by the number of usable trials and the proportion of looks to the images per trial. In addition, automatic eye-tracking and manual gaze coding produced different patterns of results, suggesting that the eye-gaze system used to address a particular research question could alter a study's findings and the scientific conclusions that follow. It is our hope that the information from this and future methodological studies will help researchers to select the eye-gaze measurement system that best fits their research questions and target population, as well as help consumers of autism research to interpret the findings from studies that utilize eye-gaze methods with children with ASD. Autism Res 2020, 13: 271-283. (c) 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: The current study found that automatic eye-tracking and manual gaze coding produced different rates of data loss and different overall patterns of results in young children with ASD. These findings show that the choice of eye-gaze system may impact the findings of a study-important information for both researchers and consumers of autism research. En ligne : http://dx.doi.org/10.1002/aur.2225 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=420

A constellation of eye-tracking measures reveals social attention differences in ASD and the broad autism phenotype / Kritika NAYAR in Molecular Autism, 13 (2022)  

Public ISBD [article]  inMolecular Autism > 13 (2022) . - 18 p. Titre : A constellation of eye-tracking measures reveals social attention differences in ASD and the broad autism phenotype Type de document : Texte imprimé et/ou numérique Auteurs : Kritika NAYAR, Auteur ; Frederick SHIC, Auteur ; Molly WINSTON, Auteur ; Molly LOSH, Auteur Article en page(s) : 18 p. Langues : Anglais (eng) Mots-clés : Attention  Autism Spectrum Disorder/diagnosis  Autistic Disorder  Eye-Tracking Technology  Fixation, Ocular  Humans  Phenotype  Autism spectrum disorder  Broad autism phenotype  Endophenotype  Eye tracking  Social attention  Visual processing Index. décimale : PER Périodiques Résumé : BACKGROUND: Social attention differences, expressed through gaze patterns, have been documented in autism spectrum disorder (ASD), with subtle differences also reported among first-degree relatives, suggesting a shared genetic link. Findings have mostly been derived from standard eye-tracking methods (total fixation count or total fixation duration). Given the dynamics of visual attention, these standard methods may obscure subtle, yet core, differences in visual attention mechanisms, particularly those presenting sub-clinically. This study applied a constellation of eye-tracking analyses to gaze data from individuals with ASD and their parents. METHODS: This study included n=156 participants across groups, including ASD (n=24) and control (n=32) groups, and parents of individuals with ASD (n=61) and control parents (n=39). A complex scene with social/non-social elements was displayed and gaze tracked via an eye tracker. Eleven analytic methods from the following categories were analyzed: (1) standard variables, (2) temporal dynamics (e.g., gaze over time), (3) fixation patterns (e.g., perseverative or regressive fixations), (4) first fixations, and (5) distribution patterns. MANOVAs, growth curve analyses, and Chi-squared tests were applied to examine group differences. Finally, group differences were examined on component scores derived from a principal component analysis (PCA) that reduced variables to distinct dimensions. RESULTS: No group differences emerged among standard, first fixation, and distribution pattern variables. Both the ASD and ASD parent groups demonstrated on average reduced social attention over time and atypical perseverative fixations. Lower social attention factor scores derived from PCA strongly differentiated the ASD and ASD parent groups from controls, with parent findings driven by the subset of parents demonstrating the broad autism phenotype. LIMITATIONS: To generalize these findings, larger sample sizes, extended viewing contexts (e.g., dynamic stimuli), and even more eye-tracking analytical methods are needed. CONCLUSIONS: Fixations over time and perseverative fixations differentiated ASD and the ASD parent groups from controls, with the PCA most robustly capturing social attention differences. Findings highlight their methodological utility in studies of the (broad) autism spectrum to capture nuanced visual attention differences that may relate to clinical symptoms in ASD, and reflect genetic liability in clinically unaffected relatives. This proof-of-concept study may inform future studies using eye tracking across populations where social attention is impacted. En ligne : http://dx.doi.org/10.1186/s13229-022-00490-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=477 [article] A constellation of eye-tracking measures reveals social attention differences in ASD and the broad autism phenotype [Texte imprimé et/ou numérique] / Kritika NAYAR, Auteur ; Frederick SHIC, Auteur ; Molly WINSTON, Auteur ; Molly LOSH, Auteur . - 18 p. Langues : Anglais (eng) in Molecular Autism > 13 (2022) . - 18 p. Mots-clés : Attention  Autism Spectrum Disorder/diagnosis  Autistic Disorder  Eye-Tracking Technology  Fixation, Ocular  Humans  Phenotype  Autism spectrum disorder  Broad autism phenotype  Endophenotype  Eye tracking  Social attention  Visual processing Index. décimale : PER Périodiques Résumé : BACKGROUND: Social attention differences, expressed through gaze patterns, have been documented in autism spectrum disorder (ASD), with subtle differences also reported among first-degree relatives, suggesting a shared genetic link. Findings have mostly been derived from standard eye-tracking methods (total fixation count or total fixation duration). Given the dynamics of visual attention, these standard methods may obscure subtle, yet core, differences in visual attention mechanisms, particularly those presenting sub-clinically. This study applied a constellation of eye-tracking analyses to gaze data from individuals with ASD and their parents. METHODS: This study included n=156 participants across groups, including ASD (n=24) and control (n=32) groups, and parents of individuals with ASD (n=61) and control parents (n=39). A complex scene with social/non-social elements was displayed and gaze tracked via an eye tracker. Eleven analytic methods from the following categories were analyzed: (1) standard variables, (2) temporal dynamics (e.g., gaze over time), (3) fixation patterns (e.g., perseverative or regressive fixations), (4) first fixations, and (5) distribution patterns. MANOVAs, growth curve analyses, and Chi-squared tests were applied to examine group differences. Finally, group differences were examined on component scores derived from a principal component analysis (PCA) that reduced variables to distinct dimensions. RESULTS: No group differences emerged among standard, first fixation, and distribution pattern variables. Both the ASD and ASD parent groups demonstrated on average reduced social attention over time and atypical perseverative fixations. Lower social attention factor scores derived from PCA strongly differentiated the ASD and ASD parent groups from controls, with parent findings driven by the subset of parents demonstrating the broad autism phenotype. LIMITATIONS: To generalize these findings, larger sample sizes, extended viewing contexts (e.g., dynamic stimuli), and even more eye-tracking analytical methods are needed. CONCLUSIONS: Fixations over time and perseverative fixations differentiated ASD and the ASD parent groups from controls, with the PCA most robustly capturing social attention differences. Findings highlight their methodological utility in studies of the (broad) autism spectrum to capture nuanced visual attention differences that may relate to clinical symptoms in ASD, and reflect genetic liability in clinically unaffected relatives. This proof-of-concept study may inform future studies using eye tracking across populations where social attention is impacted. En ligne : http://dx.doi.org/10.1186/s13229-022-00490-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=477

Do children with ASD use referential gaze to learn the name of an object? An eye-tracking study / Hironori AKECHI in Research in Autism Spectrum Disorders, 5-3 (July-September 2011)  

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Dynamic Eye Tracking as a Predictor and Outcome Measure of Social Skills Intervention in Adolescents and Adults with Autism Spectrum Disorder / Rachel K. GREENE in Journal of Autism and Developmental Disorders, 51-4 (April 2021)  

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Examining How Types of Object Distractors Distinctly Compete for Facial Attention in Autism Spectrum Disorder Using Eye Tracking / Ashley J. HARRISON in Journal of Autism and Developmental Disorders, 50-3 (March 2020)  

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Eye-Tracking Measurements of Language Processing: Developmental Differences in Children at High Risk for ASD / Meia CHITA-TEGMARK in Journal of Autism and Developmental Disorders, 45-10 (October 2015)  

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Gaze performance during face-to-face communication: A live eye tracking study of typical children and children with autism / Terje FALCK-YTTER in Research in Autism Spectrum Disorders, 17 (September 2015)  

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