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.
Originalsprog
Engelsk
Titel
CHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
2023 CHI Conference on Human Factors in Computing Systems, CHI 2023 - Hamburg, Tyskland Varighed: 23 apr. 2023 → 28 apr. 2023
Konference
Konference
2023 CHI Conference on Human Factors in Computing Systems, CHI 2023
Land
Tyskland
By
Hamburg
Periode
23/04/2023 → 28/04/2023
Sponsor
ACM SIGCHI, Apple, Bloomberg, Google, National Science Foundation, Siemens
Bibliografisk note
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). .