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

Gökçe Elif Baykal, Eva Eriksson, Olof Torgersson

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationCHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
Number of pages6
PublisherAssociation for Computing Machinery
Publication dateApr 2023
Article number72
ISBN (Electronic)9781450394222
DOIs
Publication statusPublished - Apr 2023
Event2023 CHI Conference on Human Factors in Computing Systems, CHI 2023 - Hamburg, Germany
Duration: 23 Apr 202328 Apr 2023

Conference

Conference2023 CHI Conference on Human Factors in Computing Systems, CHI 2023
Country/TerritoryGermany
CityHamburg
Period23/04/202328/04/2023
SponsorACM SIGCHI, Apple, Bloomberg, Google, National Science Foundation, Siemens

Keywords

  • Collaboration
  • design
  • games
  • HCI

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