Helping Educators Monitor Autistic Children's Progress Across Sessions: A Needfinding Study

Bob Rinse Schadenberg*, Jamy Jue Li, Suncica Petrovic, Dennis Reidsma, Dirk K.J. Heylen, Vanessa Evers

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)
71 Downloads (Pure)

Abstract

Social robots may be beneficial to educators working with autistic children in helping to monitor the children’s progress. To identify needs for measuring and tracking progress of autistic children, we conducted interviews with nine experienced educators in Serbia and the Netherlands who work with autistic children. Responses revealed educators’ needs to identify antecedents of notable child behaviour, to have standardised measures of social skills, and to understand child behaviour across settings. We present initial design concepts how social robots could be utilised to meet these needs.
Original languageEnglish
Title of host publicationHRI '20
Subtitle of host publication15th Annual ACM/IEEE International Conference on Human-Robot Interaction, March 23-26, 2020
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery
Pages436-438
Number of pages3
ISBN (Print)978-1-4503-7057-8
DOIs
Publication statusPublished - 1 Apr 2020
Event15th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2020 (Canceled) - Cambridge, United Kingdom
Duration: 23 Mar 202026 Mar 2020
Conference number: 15
http://humanrobotinteraction.org/2020/

Conference

Conference15th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2020 (Canceled)
Abbreviated titleHRI 2020
Country/TerritoryUnited Kingdom
CityCambridge
Period23/03/2026/03/20
Internet address

Keywords

  • User needs
  • Autism spectrum condition
  • Automatic reporting
  • 22/2 OA procedure

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