Abstract
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 language | English |
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Number of pages | 5 |
Publication status | E-pub ahead of print - 4 May 2019 |
Event | Designing Crowd-powered Creativity Support Systems: Co-located with CHI'19 - Glasgow, United Kingdom Duration: 4 May 2019 → 4 May 2019 https://dc2s2.github.io/2019/ |
Workshop
Workshop | Designing Crowd-powered Creativity Support Systems |
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Abbreviated title | DC2S2 |
Country/Territory | United Kingdom |
City | Glasgow |
Period | 4/05/19 → 4/05/19 |
Internet address |
Keywords
- crowdsourcing
- machine learning
- Participatory Design
- PD
- co-design
- children
- autism
- hints