Using Crowdsourcing to Foster Creativity in Children with Autism during Idea Generation

Research output: Contribution to conferencePaperpeer-review

Abstract / Description of output

Previous work suggests involving autistic children in participatory design (PD) benefits them. However, express thoughts are two of the most acknowledged difficulties autistic children face during the PD process, particularly during the stage of idea generation. These are linked to the disorder-specific impairments in social interaction and rigidity in thought and behaviour. Recent work recommended technology as a tool to support children during idea generation. Building up on these efforts, this paper proposes using crowdsourcing with a team of selected online workers, as a way to generate child-specific hints to help autistic children unlock their creativity. Moreover, machine learning techniques and the majority decision approach are suggested to remove noise, redundancy, and select the child-specific hints.
Original languageEnglish
Number of pages5
Publication statusE-pub ahead of print - 4 May 2019
EventDesigning Crowd-powered Creativity Support Systems: Co-located with CHI'19 - Glasgow, United Kingdom
Duration: 4 May 20194 May 2019
https://dc2s2.github.io/2019/

Workshop

WorkshopDesigning Crowd-powered Creativity Support Systems
Abbreviated titleDC2S2
Country/TerritoryUnited Kingdom
CityGlasgow
Period4/05/194/05/19
Internet address

Keywords / Materials (for Non-textual outputs)

  • crowdsourcing
  • machine learning
  • Participatory Design
  • PD
  • co-design
  • children
  • autism
  • hints

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