Collaboration in Co-located Collaborative Digital Games - Towards a Quadripartite Taxonomy

TY - GEN

T1 - Collaboration in Co-located Collaborative Digital Games - Towards a Quadripartite Taxonomy

AU - Baykal, Gökçe Elif

AU - Eriksson, Eva

AU - Torgersson, Olof

N1 - Funding Information: We thank the participating players, and the developers of the game instances, Morten Lervig, Jonas Oxenbøll Petersen, Janus Bager Kristensen, and Rolf Bagge from CAVI. This work is co-funded by Erasmus+ programme of the European Union, Grant number 2020-1-SE01-KA226-HE-092580 and the Aarhus University Research Foundation (AUFF-E-2017-7-5). . Publisher Copyright: © 2023 Owner/Author.

PY - 2023/4

Y1 - 2023/4

N2 - In this paper, we propose a taxonomy for the classification of collaborative interaction situations derived from studying a set of co-located collaborative gameplay sessions. The taxonomy builds on the MDA framework and Activity Theory (AT) as top-level attributes, and offers the analytical dimensions WHAT, WHO, WHEN and HOW, each containing a number of sub-categories, for evaluating different levels of collaborative interaction mediated by games. The work is based on a three stage process: design of game instances, data collection, and analysis of play sessions. This taxonomy is an initial step towards capturing the complexity of collaboration mediated by games, and helps in understanding and studying collaboration as a phenomena in game design. Our preliminary work provides a characterization of multiple dimensions of collaborative interaction, providing game designers a starting point for deeper understanding into collaborative interaction mediated by a collocated gameplay.

AB - In this paper, we propose a taxonomy for the classification of collaborative interaction situations derived from studying a set of co-located collaborative gameplay sessions. The taxonomy builds on the MDA framework and Activity Theory (AT) as top-level attributes, and offers the analytical dimensions WHAT, WHO, WHEN and HOW, each containing a number of sub-categories, for evaluating different levels of collaborative interaction mediated by games. The work is based on a three stage process: design of game instances, data collection, and analysis of play sessions. This taxonomy is an initial step towards capturing the complexity of collaboration mediated by games, and helps in understanding and studying collaboration as a phenomena in game design. Our preliminary work provides a characterization of multiple dimensions of collaborative interaction, providing game designers a starting point for deeper understanding into collaborative interaction mediated by a collocated gameplay.

KW - Collaboration

KW - design

KW - games

KW - HCI

KW - HCI

KW - Collaboration

KW - games

KW - CCTD

UR - http://www.scopus.com/inward/record.url?scp=85158164064&partnerID=8YFLogxK

U2 - 10.1145/3544549.3585760

DO - 10.1145/3544549.3585760

M3 - Article in proceedings

AN - SCOPUS:85158164064

BT - CHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems

PB - Association for Computing Machinery

T2 - 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023

Y2 - 23 April 2023 through 28 April 2023

ER -