Literature DB >> 33501197

Differences in Spontaneous Interactions of Autistic Children in an Interaction With an Adult and Humanoid Robot.

Bob R Schadenberg1, Dennis Reidsma1, Dirk K J Heylen1, Vanessa Evers1,2.   

Abstract

Robots are promising tools for promoting engagement of autistic children in interventions and thereby increasing the amount of learning opportunities. However, designing deliberate robot behavior aimed at engaging autistic children remains challenging. Our current understanding of what interactions with a robot, or facilitated by a robot, are particularly motivating to autistic children is limited to qualitative reports with small sample sizes. Translating insights from these reports to design is difficult due to the large individual differences among autistic children in their needs, interests, and abilities. To address these issues, we conducted a descriptive study and report on an analysis of how 31 autistic children spontaneously interacted with a humanoid robot and an adult within the context of a robot-assisted intervention, as well as which individual characteristics were associated with the observed interactions. For this analysis, we used video recordings of autistic children engaged in a robot-assisted intervention that were recorded as part of the DE-ENIGMA database. The results showed that the autistic children frequently engaged in exploratory and functional interactions with the robot spontaneously, as well as in interactions with the adult that were elicited by the robot. In particular, we observed autistic children frequently initiating interactions aimed at making the robot do a certain action. Autistic children with stronger language ability, social functioning, and fewer autism spectrum-related symptoms, initiated more functional interactions with the robot and more robot-elicited interactions with the adult. We conclude that the children's individual characteristics, in particular the child's language ability, can be indicative of which types of interaction they are more likely to find interesting. Taking these into account for the design of deliberate robot behavior, coupled with providing more autonomy over the robot's behavior to the autistic children, appears promising for promoting engagement and facilitating more learning opportunities.
Copyright © 2020 Schadenberg, Reidsma, Heylen and Evers.

Entities:  

Keywords:  autism spectrum condition; child-robot interaction; descriptive study; individual characteristics; interaction types

Year:  2020        PMID: 33501197      PMCID: PMC7805683          DOI: 10.3389/frobt.2020.00028

Source DB:  PubMed          Journal:  Front Robot AI        ISSN: 2296-9144


  40 in total

1.  Intrinsic and Extrinsic Motivations: Classic Definitions and New Directions.

Authors: 
Journal:  Contemp Educ Psychol       Date:  2000-01

2.  Enhanced discrimination of novel, highly similar stimuli by adults with autism during a perceptual learning task.

Authors:  K Plaisted; M O'Riordan; S Baron-Cohen
Journal:  J Child Psychol Psychiatry       Date:  1998-07       Impact factor: 8.982

3.  Nonverbal communication and play correlates of language development in autistic children.

Authors:  P Mundy; M Sigman; J Ungerer; T Sherman
Journal:  J Autism Dev Disord       Date:  1987-09

4.  The Autism Diagnostic Observation Schedule: revised algorithms for improved diagnostic validity.

Authors:  Katherine Gotham; Susan Risi; Andrew Pickles; Catherine Lord
Journal:  J Autism Dev Disord       Date:  2006-12-16

Review 5.  Symbolic play in autism: a review.

Authors:  C Jarrold; J Boucher; P Smith
Journal:  J Autism Dev Disord       Date:  1993-06

6.  Play and developmental outcomes in infant siblings of children with autism.

Authors:  Lisa Christensen; Ted Hutman; Agata Rozga; Gregory S Young; Sally Ozonoff; Sally J Rogers; Bruce Baker; Marian Sigman
Journal:  J Autism Dev Disord       Date:  2010-08

Review 7.  A review of research into pretend play in autism.

Authors:  Christopher Jarrold
Journal:  Autism       Date:  2003-12

8.  Standardizing ADOS scores for a measure of severity in autism spectrum disorders.

Authors:  Katherine Gotham; Andrew Pickles; Catherine Lord
Journal:  J Autism Dev Disord       Date:  2008-12-12

9.  Social robots as embedded reinforcers of social behavior in children with autism.

Authors:  Elizabeth S Kim; Lauren D Berkovits; Emily P Bernier; Dan Leyzberg; Frederick Shic; Rhea Paul; Brian Scassellati
Journal:  J Autism Dev Disord       Date:  2013-05

10.  Predictors and Moderators of Spontaneous Pretend Play in Children with and without Autism Spectrum Disorder.

Authors:  Erin Kang; Eliana F Klein; Angeline S Lillard; Matthew D Lerner
Journal:  Front Psychol       Date:  2016-10-13
View more
  2 in total

1.  Occupational Therapy Interventions Using New Technologies in Children and Adolescents with Autism Spectrum Disorder: A Scoping Review.

Authors:  S Domínguez-Lucio; L M Compañ-Gabucio; L Torres-Collado; M García de la Hera
Journal:  J Autism Dev Disord       Date:  2022-01-20

2.  Behavioral Data Analysis of Robot-Assisted Autism Spectrum Disorder (ASD) Interventions Based on Lattice Computing Techniques.

Authors:  Chris Lytridis; Vassilis G Kaburlasos; Christos Bazinas; George A Papakostas; George Sidiropoulos; Vasiliki-Aliki Nikopoulou; Vasiliki Holeva; Maria Papadopoulou; Athanasios Evangeliou
Journal:  Sensors (Basel)       Date:  2022-01-14       Impact factor: 3.576

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.