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

Schadenberg, Bob R.; Li, Jamy J.; Petrović, Suncica; Reidsma, Dennis; Heylen, Dirk K. J.; Evers, Vanessa

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.

Citation

Schadenberg, B. R., Li, J. J., Petrović, S., Reidsma, D., Heylen, D. K. J., & Evers, V. (2020, March). Helping Educators Monitor Autistic Children's Progress Across Sessions: A Needfinding Study. Presented at ACM/IEEE International Conference on Human-Robot Interaction, Cambridge

• Presentation Conference Type: Conference Paper (published)
• Conference Name: ACM/IEEE International Conference on Human-Robot Interaction
• Start Date: Mar 23, 2020
• End Date: Mar 26, 2020
• Online Publication Date: Apr 1, 2020
• Publication Date: 2020-03
• Deposit Date: Mar 20, 2025
• Publisher: Association for Computing Machinery (ACM)
• Peer Reviewed: Peer Reviewed
• Pages: 436-438
• Book Title: HRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
• ISBN: 9781450370578
• DOI: https://doi.org/10.1145/3371382.3378378
• Keywords: autism spectrum condition, automatic reporting, user needs
• Public URL: http://researchrepository.napier.ac.uk/Output/4181146