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  4. Supporting Therapists' Assessment in Parent-Mediated Training Through Autonomous Data Collection
 
conference paper

Supporting Therapists' Assessment in Parent-Mediated Training Through Autonomous Data Collection

Tozadore, Daniel Carnieto  
•
Tozadore, Michele Carnieto
•
Coutinho de Alcantara Gil, Maria Stella
January 1, 2022
Artificial Intelligence In Education: Posters And Late Breaking Results, Workshops And Tutorials, Industry And Innovation Tracks, Practitioners And Doctoral Consortium, Pt Ii
23rd International Conference on Artificial Intelligence in Education (AIED)

Parental Training is a methodology where therapists teach caregivers how to train their kids in specific behaviors practicing. It can be used in verbal behavior acquisition for childrenwith autismmediated by the parents. In this paper, we are presenting an innovative software that aids the assessment of children's tact acquisition where therapists can design interactive activities to support the remote measurement of the parental training progress. The developed software stores in its server the child's answers and autonomously compute, in run time, the child's face deviation through an Artificial Intelligence algorithm. The therapists have access to such data and can assess children's performance by that without watching the interaction. The performed experiment presents initial validation of the proposed system utilization by one therapist and one dyad of a child with autism and the mother. The system was applied to the child's evaluation phase of an entire parental training cycle in the Brazilian Portuguese language context. Through the interviews and questionnaires, all users claimed they considered our solution adequate and robust for its purposes. After comparing the child's performance in a baseline activity and an activity after the training session, the software was able to provide to the therapist the data to confirm an enhancement in the child's tact acquisition.

  • Details
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Type
conference paper
DOI
10.1007/978-3-031-11647-6_115
Web of Science ID

WOS:000877459600115

Author(s)
Tozadore, Daniel Carnieto  
Tozadore, Michele Carnieto
Coutinho de Alcantara Gil, Maria Stella
Date Issued

2022-01-01

Publisher

SPRINGER INTERNATIONAL PUBLISHING AG

Publisher place

Cham

Published in
Artificial Intelligence In Education: Posters And Late Breaking Results, Workshops And Tutorials, Industry And Innovation Tracks, Practitioners And Doctoral Consortium, Pt Ii
ISBN of the book

978-3-031-11647-6

978-3-031-11646-9

Series title/Series vol.

Lecture Notes in Computer Science

Volume

13356

Start page

560

End page

563

Subjects

Computer Science, Artificial Intelligence

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Computer Science, Interdisciplinary Applications

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Education & Educational Research

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Computer Science

•

Education & Educational Research

•

parental training

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autism

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brazil

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artificial intelligence

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attention span loss detection

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
CHILI  
Event nameEvent placeEvent date
23rd International Conference on Artificial Intelligence in Education (AIED)

Durham, ENGLAND

Jul 27-31, 2022

Available on Infoscience
November 21, 2022
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/192386
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