2024
Clinician-caregiver informant discrepancy is associated with sex, diagnosis age, and intervention use among autistic children.
Azu M, Han G, Wolf J, Naples A, Chawarska K, Dawson G, Bernier R, Jeste S, Dziura J, Webb S, Sugar C, Shic F, McPartland J. Clinician-caregiver informant discrepancy is associated with sex, diagnosis age, and intervention use among autistic children. Autism 2024, 13623613241279999. PMID: 39344965, DOI: 10.1177/13623613241279999.Peer-Reviewed Original ResearchAutism-related behaviorsAutism featuresClinician ratingsParent ratingsInformant discrepanciesCaregiver ratingsCaregiver reportsAutism diagnosisAutistic childrenChild sexAutismCaregiver perceptionsIntervention useClinicians' perceptionsAssociated with sexCaregiversChildrenDiagnosis ageCliniciansOlder ageInterventionPerceptionGirlsSexAgeParsing evoked and induced gamma response differences in Autism: A visual evoked potential study
Dickinson A, Ryan D, McNaughton G, Levin A, Naples A, Borland H, Bernier R, Chawarska K, Dawson G, Dziura J, Faja S, Kleinhans N, Sugar C, Senturk D, Shic F, Webb S, McPartland J, Jeste S, Trials F. Parsing evoked and induced gamma response differences in Autism: A visual evoked potential study. Clinical Neurophysiology 2024, 165: 55-63. PMID: 38959536, DOI: 10.1016/j.clinph.2024.05.015.Peer-Reviewed Original ResearchVisual evoked potentialsMeasurement of visual evoked potentialsGamma powerVisual evoked potential studiesABC-CTGamma responseAutism Biomarkers ConsortiumAbsence of significant group differencesChildren aged 6Group differencesNon-phase-lockedEvoked potentialsVEP componentsVEP dataAged 6Biomarkers ConsortiumNeural circuit dynamicsGamma activitySignificant group differencesIndividual markersTargeted approachWavelet-based time-frequency analysisInduced responsesChildrenInduced gamma
2023
The Selective Social Attention task in children with autism spectrum disorder: Results from the Autism Biomarkers Consortium for Clinical Trials (ABC‐CT) feasibility study
Shic F, Barney E, Naples A, Dommer K, Chang S, Li B, McAllister T, Atyabi A, Wang Q, Bernier R, Dawson G, Dziura J, Faja S, Jeste S, Murias M, Johnson S, Sabatos‐DeVito M, Helleman G, Senturk D, Sugar C, Webb S, McPartland J, Chawarska K, Trials T. The Selective Social Attention task in children with autism spectrum disorder: Results from the Autism Biomarkers Consortium for Clinical Trials (ABC‐CT) feasibility study. Autism Research 2023, 16: 2150-2159. PMID: 37749934, PMCID: PMC11003770, DOI: 10.1002/aur.3026.Peer-Reviewed Original ResearchConceptsAutism spectrum disorderSocial attention taskSchool-aged childrenAttention taskASD groupSpectrum disorderEye-tracking taskTotal T-scoreAttentional patternsAutism spectrumTD groupPresentation timeTrial feasibility studyGroup differencesPercent of timeOlder childrenTaskComparison groupToddlersT-scoreChildrenChildren 4Outcome variablesFaceCondition effectsComparing Attention to Biological Motion in Autism across Age Groups Using Eye-Tracking
Hochhauser M, Dommer K, Atyabi A, Li B, Ahn Y, Aubertine M, Kim M, Corrigan S, Pelphrey K, Shic F. Comparing Attention to Biological Motion in Autism across Age Groups Using Eye-Tracking. 2023, 1-3. DOI: 10.1145/3588015.3590126.Peer-Reviewed Original ResearchAutism spectrum disorderNon-biological motionLocal motion cuesAttentional biasesBiological motionTD childrenDevelopmental advancesSpectrum disorderMotion cuesEye movementsOlder childrenChildrenPotential avenuesYounger groupFigure headBiasesMethodological analysisAutismCuesAge groupsDisordersAttentionDisplayStratification of Children with Autism Spectrum Disorder Through Fusion of Temporal Information in Eye-gaze Scan-Paths
Atyabi A, Shic F, Jiang J, Foster C, Barney E, Kim M, Li B, Ventola P, Chen C. Stratification of Children with Autism Spectrum Disorder Through Fusion of Temporal Information in Eye-gaze Scan-Paths. ACM Transactions On Knowledge Discovery From Data 2023, 17: 1-20. DOI: 10.1145/3539226.Peer-Reviewed Original ResearchAutism spectrum disorderEye gaze patternsSocial referencingSpectrum disorderTemporal informationTheory of mindEye gaze featuresEye-tracking dataEye gaze dataConvolutional neural networkRaw eye-tracking dataSocial attentionTD groupTypical developmentVideo stimuliSocial impairmentGaze patternsEye movementsNaturalistic studyDeep learning modelsScan pathScanpathsMeaningful variationChildrenLearning model
2022
Distinct social attention profiles in preschoolers with autism contrasted to fragile X syndrome
Wall C, Shic F, Varanasi S, Roberts J. Distinct social attention profiles in preschoolers with autism contrasted to fragile X syndrome. Autism Research 2022, 16: 340-354. PMID: 36408848, PMCID: PMC9957831, DOI: 10.1002/aur.2857.Peer-Reviewed Original ResearchConceptsNon-syndromic autism spectrum disorderAttention profilesSocial attentionSocial anxietyEye contactFacial attentionASD severityFragile X syndromeSocial attention deficitsReduced eye contactCross-syndrome approachAutism spectrum disorderCo-occurring diagnosesAttention difficultiesNT childrenAttention deficitsSocial avoidanceSpectrum disorderX syndromePreschool childrenCritical skillsAnxietyIntellectual disabilityIntellectual impairmentChildren
2020
Selection of Eye-Tracking Stimuli for Prediction by Sparsely Grouped Input Variables for Neural Networks: towards Biomarker Refinement for Autism
Li B, Barney E, Hudac C, Nuechterlein N, Ventola P, Shapiro L, Shic F. Selection of Eye-Tracking Stimuli for Prediction by Sparsely Grouped Input Variables for Neural Networks: towards Biomarker Refinement for Autism. 2020, 1-8. DOI: 10.1145/3379155.3391334.Peer-Reviewed Original ResearchAutism spectrum disorderEye trackingDifferent stimulus presentationsStimulus presentationIndividual stimuliSpectrum disorderExperimental stimuliExperimental paradigmLevel of stimulusGroup discriminationStimuliPsychiatric conditionsIndividual variablesNeural networkOutcome variablesAutismWordsVariablesIntentionDiagnostic processLarge-scale effortsParadigmChildrenNumber of variablesDiscrimination
2018
Social Influences on Executive Functioning in Autism
Li B, Atyabi A, Kim M, Barney E, Ahn A, Luo Y, Aubertine M, Corrigan S, St. John T, Wang Q, Mademtzi M, Best M, Shic F. Social Influences on Executive Functioning in Autism. 2018, 1-13. DOI: 10.1145/3173574.3174017.Peer-Reviewed Original ResearchShort-term memoryEF skillsExecutive functionAutism Spectrum Disorder (ASD) focusCognitive information processingChildren’s EF skillsDiagnostic group differencesNonsocial stimuliCognitive flexibilityExecutive functioningInhibition cuesEF deficitsInhibitory controlMobile gamesSocial influenceInformation processingDisorder focusASDBehavioral biomarkersAutismMemorySkillsChildrenGameIQ
2016
Emotional Robot to Examine Different Play Patterns and Affective Responses of Children with and Without ASD
Boccanfuso L, Barnev E, Foster C, Ahn Y, Chawarska K, Scassellati B, Shic F. Emotional Robot to Examine Different Play Patterns and Affective Responses of Children with and Without ASD. 2016, 19-26. DOI: 10.1109/hri.2016.7451729.Peer-Reviewed Original ResearchAutism spectrum disorderChild-robot interactionAutism Diagnostic Observation ScheduleAffective responsesAutism severitySpectrum disorderAffective responsivityAutism symptomsEmotional robotsEmotion statesObservation ScheduleGroup differencesYoung childrenPlay patternsSocial activitiesChildrenDevelopmental abilityDisordersRobotStimuliAbilityPlaySymptomsUnique abilityResponsivity
2015
Brief Report: A Mobile Application to Treat Prosodic Deficits in Autism Spectrum Disorder and Other Communication Impairments: A Pilot Study
Simmons ES, Paul R, Shic F. Brief Report: A Mobile Application to Treat Prosodic Deficits in Autism Spectrum Disorder and Other Communication Impairments: A Pilot Study. Journal Of Autism And Developmental Disorders 2015, 46: 320-327. PMID: 26329637, DOI: 10.1007/s10803-015-2573-8.Peer-Reviewed Original ResearchConceptsSpeech-language pathologistsStudent engagement dataPost-treatment speech samplesEducation settingsPublic schoolsProsodic disordersEngagement dataStudentsEngagement ratingsMobile applicationsAutism spectrum disorderCommunication impairmentsProsody deficitsSpectrum disorderSchoolsPilot studyFeedbackRatingsProsodic deficitsChildrenASDInteractive eye tracking for gaze strategy modification
Wang Q, Celebi F, Flink L, Greco G, Wall C, Prince E, Lansiquot S, Chawarska K, Kim E, Boccanfuso L, DiNicola L, Shic F. Interactive eye tracking for gaze strategy modification. 2015, 247-250. DOI: 10.1145/2771839.2771888.Peer-Reviewed Original ResearchAutism spectrum disorderEye trackingAtypical visual attentionPost-training sessionsYoung childrenNeuropsychiatric conditionsNormative control groupAttentional biasesVisual attentionNeuropsychological processesSpectrum disorderSocial informationNormative groupVideo participantsViewer's attentionSensitive outcome measuresToddlersTraining systemChildrenLearning opportunitiesTypical fashionAttentionStrategy modificationOutcome measuresBiasesComputer-Assisted Face Processing Instruction Improves Emotion Recognition, Mentalizing, and Social Skills in Students with ASD
Rice LM, Wall CA, Fogel A, Shic F. Computer-Assisted Face Processing Instruction Improves Emotion Recognition, Mentalizing, and Social Skills in Students with ASD. Journal Of Autism And Developmental Disorders 2015, 45: 2176-2186. PMID: 25694364, DOI: 10.1007/s10803-015-2380-2.Peer-Reviewed Original ResearchConceptsAutism spectrum disorderSocial skillsSchool-aged childrenAffect recognitionFace processing skillsFacial recognition skillsSocial skills interventionsSocial skills domainComputer-based interventionsJoint attentionRecognition skillsEmotion recognitionSkills interventionEye gazeSpectrum disorderProcessing instructionMentalizingSkillsEducational criteriaRandomized control trialInterventionChildrenRecognitionControl trialStudentsAutonomously Detecting Interaction with an Affective Robot to Explore Connection to Developmental Ability
Boccanfuso L, Kim E, Snider J, Wang Q, Wall C, DiNicola L, Greco G, Shic F, Scassellati B, Flink L, Lansiquot S, Chawarska K, Ventola P. Autonomously Detecting Interaction with an Affective Robot to Explore Connection to Developmental Ability. 2015, 1-7. DOI: 10.1109/acii.2015.7344543.Peer-Reviewed Original ResearchAffective robotAffective responsesAutonomous data collectionExpressive robotExpression of emotionsDevelopmental abilityYoung childrenRobotElicit affective responsesAffective interfacesMotion dataSituational cuesCognitive developmentAffective statesSocial contingenciesPlay patternsData collectionChildrenEmotionsAbilityCuesAggregate patternsPotential Clinical Impact of Positive Affect in Robot Interactions for Autism Intervention
Kim E, Daniell C, Makar C, Elia J, Scassellati B, Shic F. Potential Clinical Impact of Positive Affect in Robot Interactions for Autism Intervention. 2015, 8-13. DOI: 10.1109/acii.2015.7344544.Peer-Reviewed Original ResearchPositive affectAutism interventionRobot interactionGreater autism severityLower nonverbal IQAutism spectrum disorderSchool-aged childrenEnjoyment of activitiesNonverbal IQAutism severityAffect domainSpectrum disorderTriadic interactionsLarge group studiesConversational interactionAffectRobot supportInteractive technologiesInterventionChildrenIQAutismEnjoymentGroup studyRobot
2014
Saliency-based Bayesian modeling of dynamic viewing of static scenes
Campbell D, Chang J, Chawarska K, Shic F. Saliency-based Bayesian modeling of dynamic viewing of static scenes. 2014, 51-58. DOI: 10.1145/2578153.2578159.Peer-Reviewed Original ResearchNon-social imagesAutism spectrum disorderEye-tracking dataEye-tracking analysisVisual attentionIdentification of fixationsTD groupGaze featuresSpectrum disorderUnified Bayesian modelSaliency differenceSocial imageControl childrenSaliency mapDynamic viewingSaliency propertiesBayesian modelBayesian modelingAnalytic approachChildrenScanpathsASDStatic scenesSaccadesSaliency
2012
Social Robots as Embedded Reinforcers of Social Behavior in Children with Autism
Kim ES, Berkovits LD, Bernier EP, Leyzberg D, Shic F, Paul R, Scassellati B. Social Robots as Embedded Reinforcers of Social Behavior in Children with Autism. Journal Of Autism And Developmental Disorders 2012, 43: 1038-1049. PMID: 23111617, DOI: 10.1007/s10803-012-1645-2.Peer-Reviewed Original ResearchConceptsSocial robotsAdult confederateSocial human-robot interactionSocial behaviorInteraction partnersAutism spectrum disorderHuman-robot interactionSocial skillsSpectrum disorderMore speechCommunication therapySocial interactionComputer gamesRobotAutismConfederateReinforcersChildrenIntrinsic reinforcersAdult humansPartnersSpeechSkillsLarge demonstrationsMotivators
2009
Looking But Not Seeing: Atypical Visual Scanning and Recognition of Faces in 2 and 4-Year-Old Children with Autism Spectrum Disorder
Chawarska K, Shic F. Looking But Not Seeing: Atypical Visual Scanning and Recognition of Faces in 2 and 4-Year-Old Children with Autism Spectrum Disorder. Journal Of Autism And Developmental Disorders 2009, 39: 1663. PMID: 19590943, PMCID: PMC4878114, DOI: 10.1007/s10803-009-0803-7.Peer-Reviewed Original Research
2008
Autism, Eye-Tracking, Entropy
Shic F, Chawarska K, Bradshaw J, Scassellati B. Autism, Eye-Tracking, Entropy. 2008, 73-78. DOI: 10.1109/devlrn.2008.4640808.Peer-Reviewed Original ResearchScanning patternsAutism spectrum disorderDifferent developmental trajectoriesYear old toddlersGroup of childrenSpectrum disorderFine attentionDevelopmental trajectoriesOlder toddlersEye trackingDifferential patternsStatic imagesRobust measureChildrenAttentionFaceAutismMeasuresToddlersDisordersImplicationsPatterns
2007
Measuring Context: The Gaze Patterns of Children with Autism Evaluated from the Bottom-Up
Shic F, Scassellati B, Lin D, Chawarska K. Measuring Context: The Gaze Patterns of Children with Autism Evaluated from the Bottom-Up. 2007, 70-75. DOI: 10.1109/devlrn.2007.4354067.Peer-Reviewed Original ResearchGaze patternsEffects of contextReal-world scenesVisual attentionNaturalistic scenesTypical childrenPerceptual findingsCognitive abnormalitiesAutismScene inversionPopular bottomComputational modelMotion informationChildrenContext of videoMotion deficitsContextSceneDeficitsIndividualsAttentionFindingsVideo
2006
Social development [robots]
Scassellati B, Crick C, Gold K, Kim E, Shic F, Sun G. Social development [robots]. IEEE Computational Intelligence Magazine 2006, 1: 41-47. DOI: 10.1109/mci.2006.1672987.Peer-Reviewed Original ResearchHuman childrenAutonomous mental developmentType of learningHigh-dimensional state spaceSocial roboticsMachine learningMost robotsChildren's capabilitiesPresence of parentsMental developmentRobotic systemRobotHuman adultsReal worldDimensional state spaceSocial developmentCauses of errorsSupportive environmentDifficult problemChildrenTaskLearningState spaceAdultsEnvironment