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

Aurora Constantin; Cristina Alexandru; Mihaela Dragomir

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

Aurora Constantin, Cristina Alexandru, Mihaela Dragomir

Research output: Contribution to conference › Paper › peer-review

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
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
Abbreviated title	DC2S2
Country/Territory	United Kingdom
City	Glasgow
Period	4/05/19 → 4/05/19
Internet address	https://dc2s2.github.io/2019/

Keywords / Materials (for Non-textual outputs)

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

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Using Crowdsourcing to Foster_CONSTANTIN_DoA010319_AFVAccepted author manuscript, 189 KB

Cite this

@conference{c492ba2409384e96b6386e2973418016,

title = "Using Crowdsourcing to Foster Creativity in Children with Autism during Idea Generation",

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.",

keywords = "crowdsourcing, machine learning, Participatory Design, PD, co-design, children, autism, hints",

author = "Aurora Constantin and Cristina Alexandru and Mihaela Dragomir",

year = "2019",

month = may,

day = "4",

language = "English",

note = "Designing Crowd-powered Creativity Support Systems : Co-located with CHI'19, DC2S2 ; Conference date: 04-05-2019 Through 04-05-2019",

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TY - CONF

T1 - Using Crowdsourcing to Foster Creativity in Children with Autism during Idea Generation

AU - Constantin, Aurora

AU - Alexandru, Cristina

AU - Dragomir, Mihaela

PY - 2019/5/4

Y1 - 2019/5/4

N2 - 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.

AB - 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.

KW - crowdsourcing

KW - machine learning

KW - Participatory Design

KW - PD

KW - co-design

KW - children

KW - autism

KW - hints

UR - https://dc2s2.github.io/2019/

M3 - Paper

T2 - Designing Crowd-powered Creativity Support Systems

Y2 - 4 May 2019 through 4 May 2019

ER -

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

Abstract

Workshop

Keywords / Materials (for Non-textual outputs)

Access to Document

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