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Using gameplay design patterns to support children's collaborative interactions for learning

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Standard

Using gameplay design patterns to support children's collaborative interactions for learning. / Baykal, GÖkçe Elif; Eriksson, Eva; BjÖrk, Staffan; Torgersson, Olof.

Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2019. LBW0168.

Publikation: Bidrag til bog/antologi/rapport/proceedingKonferenceabstrakt i proceedingsForskningpeer review

Harvard

Baykal, GÖE, Eriksson, E, BjÖrk, S & Torgersson, O 2019, Using gameplay design patterns to support children's collaborative interactions for learning. i Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems., LBW0168, Association for Computing Machinery, 2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019, Glasgow, Storbritannien, 04/05/2019. https://doi.org/10.1145/3290607.3312889

APA

Baykal, GÖ. E., Eriksson, E., BjÖrk, S., & Torgersson, O. (2019). Using gameplay design patterns to support children's collaborative interactions for learning. I Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems [LBW0168] Association for Computing Machinery. https://doi.org/10.1145/3290607.3312889

CBE

Baykal GÖE, Eriksson E, BjÖrk S, Torgersson O. 2019. Using gameplay design patterns to support children's collaborative interactions for learning. I Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery. Article LBW0168. https://doi.org/10.1145/3290607.3312889

MLA

Baykal, GÖkçe Elif o.a.. "Using gameplay design patterns to support children's collaborative interactions for learning". Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery. 2019. https://doi.org/10.1145/3290607.3312889

Vancouver

Baykal GÖE, Eriksson E, BjÖrk S, Torgersson O. Using gameplay design patterns to support children's collaborative interactions for learning. I Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery. 2019. LBW0168 https://doi.org/10.1145/3290607.3312889

Author

Baykal, GÖkçe Elif ; Eriksson, Eva ; BjÖrk, Staffan ; Torgersson, Olof. / Using gameplay design patterns to support children's collaborative interactions for learning. Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2019.

Bibtex

@inbook{2636f23cd9a9407c947b93d10c220200,
title = "Using gameplay design patterns to support children's collaborative interactions for learning",
abstract = "Co-located games that bring players together have strong potential for supporting children's collaborative competencies. However, there is a challenge how to make results from research work related to this within Child-Computer Interaction (CCI) field easily transferable to future CCI research. Pursuing this challenge, we combined levels of Collaborative Activity (CA) with the design tool gameplay design patterns (GDPs). This combination was used to support comparative play tests of a co-located game with children who have learning difficulties. We report our observations on using our approach, arguing that the possibility of making patterns based on CA concepts such as Reflective Communication points towards collaborative GDPs. Furthermore, this study presents an exemplar that as a flexible and extensible tool GDPs can be used with different theories and models in the CCI field.",
keywords = "CCI, Co-located gaming, Collaborative games, Game research, Gameplay design patterns, CCTD",
author = "Baykal, {G{\"O}k{\c c}e Elif} and Eva Eriksson and Staffan Bj{\"O}rk and Olof Torgersson",
year = "2019",
month = may,
day = "2",
doi = "10.1145/3290607.3312889",
language = "English",
booktitle = "Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems",
publisher = "Association for Computing Machinery",
note = "2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019 ; Conference date: 04-05-2019 Through 09-05-2019",

}

RIS

TY - ABST

T1 - Using gameplay design patterns to support children's collaborative interactions for learning

AU - Baykal, GÖkçe Elif

AU - Eriksson, Eva

AU - BjÖrk, Staffan

AU - Torgersson, Olof

PY - 2019/5/2

Y1 - 2019/5/2

N2 - Co-located games that bring players together have strong potential for supporting children's collaborative competencies. However, there is a challenge how to make results from research work related to this within Child-Computer Interaction (CCI) field easily transferable to future CCI research. Pursuing this challenge, we combined levels of Collaborative Activity (CA) with the design tool gameplay design patterns (GDPs). This combination was used to support comparative play tests of a co-located game with children who have learning difficulties. We report our observations on using our approach, arguing that the possibility of making patterns based on CA concepts such as Reflective Communication points towards collaborative GDPs. Furthermore, this study presents an exemplar that as a flexible and extensible tool GDPs can be used with different theories and models in the CCI field.

AB - Co-located games that bring players together have strong potential for supporting children's collaborative competencies. However, there is a challenge how to make results from research work related to this within Child-Computer Interaction (CCI) field easily transferable to future CCI research. Pursuing this challenge, we combined levels of Collaborative Activity (CA) with the design tool gameplay design patterns (GDPs). This combination was used to support comparative play tests of a co-located game with children who have learning difficulties. We report our observations on using our approach, arguing that the possibility of making patterns based on CA concepts such as Reflective Communication points towards collaborative GDPs. Furthermore, this study presents an exemplar that as a flexible and extensible tool GDPs can be used with different theories and models in the CCI field.

KW - CCI

KW - Co-located gaming

KW - Collaborative games

KW - Game research

KW - Gameplay design patterns

KW - CCTD

UR - http://www.scopus.com/inward/record.url?scp=85067310764&partnerID=8YFLogxK

U2 - 10.1145/3290607.3312889

DO - 10.1145/3290607.3312889

M3 - Conference abstract in proceedings

AN - SCOPUS:85067310764

BT - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems

PB - Association for Computing Machinery

T2 - 2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019

Y2 - 4 May 2019 through 9 May 2019

ER -