0000000001036952

AUTHOR

Mohamed Chetouani

0000-0002-2920-4539

showing 2 related works from this author

“It Is Not the Robot Who Learns, It Is Me.” Treating Severe Dysgraphia Using Child–Robot Interaction

2021

Writing disorders are frequent and impairing. However, social robots may help to improve children's motivation and to propose enjoyable and tailored activities. Here, we have used the Co-writer scenario in which a child is asked to teach a robot how to write via demonstration on a tablet, combined with a series of games we developed to train specifically pressure, tilt, speed, and letter liaison controls. This setup was proposed to a 10-year-old boy with a complex neurodevelopmental disorder combining phonological disorder, attention deficit/hyperactivity disorder, dyslexia, and developmental coordination disorder with severe dysgraphia. Writing impairments were severe and limited his parti…

Occupational therapy030506 rehabilitationmedicine.medical_specialtylcsh:RC435-571educationHuman–robot interaction[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]dysgraphia03 medical and health scienceshuman-robot interaction0302 clinical medicinePhysical medicine and rehabilitationDysgraphia[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingHandwritingoccupational therapylcsh:Psychiatrymedicine[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO][INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]Phonological Disorderlearning-byteachingOriginal Researchlearning-by-teachingPsychiatry[SDV.MHEP.PED]Life Sciences [q-bio]/Human health and pathology/PediatricsSocial robot[SCCO.NEUR]Cognitive science/NeuroscienceDyslexiaserious-game[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]medicine.diseasePsychiatry and Mental health[SCCO.PSYC]Cognitive science/Psychology[INFO.EIAH]Computer Science [cs]/Technology for Human Learning0305 other medical sciencePsychology030217 neurology & neurosurgeryLearning by teachinghandwritingFrontiers in Psychiatry
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Semiautomatic Behavioral Change-Point Detection: A Case Study Analyzing Children Interactions With a Social Agent

2021

The study of human behaviors in cognitive sciences provides clues to understand and describe people’s personal and interpersonal functioning. In particular, the temporal analysis of behavioral dynamics can be a powerful tool to reveal events, correlations and causalities but also to discover abnormal behaviors. However, the annotation of these dynamics can be expensive in terms of temporal and human resources. To tackle this challenge, this paper proposes a methodology to semi-automatically annotate behavioral data. Behavioral dynamics can be expressed as sequences of simple dynamical processes: transitions between such processes are generally known as change-points. This paper describes th…

Computer scienceSemi-automated annotationInterpersonal communicationHuman BehaviorMachine learningcomputer.software_genreHuman behaviorTask (project management)[SCCO]Cognitive scienceAnnotationArtificial IntelligenceChange-pointPsychologyTrainingComputingMilieux_MISCELLANEOUSPsychiatrySettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionibusiness.industryManualComputational modelingSocial agentsDynamics (music)Task analysisToolTask analysiArtificial intelligencebusinesscomputerSoftwareChange detectionIEEE Transactions on Cognitive and Developmental Systems
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