Creative Sense-Making Analysis for the Representation of Collaboration in Embodied Play

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Social interaction, and collaborative interaction in particular, is a core component of many games and other forms of play. While several forms of analysis exist to cover social aspects of play, many do not account for embodied components of collaboration during play. This paper presents our novel use of the creative sense-making (CSM) framework as a means of understanding embodied collaboration throughout the duration of dyadic, embodied, goal-oriented play. It describes the process of translating the framework, which had previously been used to study open-ended embodied collaboration, into a tool to analyze embodied collaboration in goal-oriented games. We detail key components of the analysis process, including codebook development, iterative coding to establish inter-rater reliability, and visualization methods to display trends across all play sessions with a game. This work demonstrates the utility of CSM as a tool for gameplay analysis as an addition or augmentation to existing techniques, and provides researchers and practitioners with a practical guide to applying CSM in games contexts.

Original languageEnglish (US)
Title of host publicationProceedings of the 2024 IEEE Conference on Games, CoG 2024
PublisherIEEE Computer Society
ISBN (Electronic)9798350350678
DOIs
StatePublished - 2024
Externally publishedYes
Event6th Annual IEEE Conference on Games, CoG 2024 - Milan, Italy
Duration: Aug 5 2024Aug 8 2024

Publication series

NameIEEE Conference on Computatonal Intelligence and Games, CIG
ISSN (Print)2325-4270
ISSN (Electronic)2325-4289

Conference

Conference6th Annual IEEE Conference on Games, CoG 2024
Country/TerritoryItaly
CityMilan
Period8/5/248/8/24

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Software

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