Representative features for game agnostic movement evaluation (ReFGAME): Extending a trajectory analysis framework from human mobility to video games

dc.contributor.authorDrucker, Reia Mendell
dc.contributor.supervisorStanley, Kevin
dc.date.accessioned2025-12-10T22:07:14Z
dc.date.available2025-12-10T22:07:14Z
dc.date.issued2025
dc.degree.departmentDepartment of Computer Science
dc.degree.levelMaster of Science MSc
dc.description.abstractUnderstanding how players interact with virtual environments underpins the design of video games and the contextualization of player behaviour. This work extends a framework from human mobility research to the analysis of player movement and camera orientation trajectories in video games. Using features that capture spatiotemporal properties of trajectories, this work demonstrates the framework’s applicability in a gaming context through supervised and unsupervised machine learning tasks conducted on data from professional Counter-Strike: Global Offensive matches. The framework can be used to distinguish between the gameplay environment and side of play of teams with 93% accuracy when using features derived from player movement and 97% accuracy with the addition of camera orientation derived features. The framework reveals design archetypes between environments and potentially between the roles of players. Findings validate the generalizability of spatial mobility features to a gaming context, and highlight their potential for applications in role identification, environment design, anomaly detection, and cross-game analysis.
dc.description.scholarlevelGraduate
dc.identifier.urihttps://hdl.handle.net/1828/22971
dc.languageEnglisheng
dc.language.isoen
dc.rightsAvailable to the World Wide Web
dc.subjectCSGO
dc.subjectMachine learning
dc.subjectGaming
dc.subjectAiming
dc.subjectMobility
dc.subjectFPS
dc.subjectTrajectory
dc.titleRepresentative features for game agnostic movement evaluation (ReFGAME): Extending a trajectory analysis framework from human mobility to video games
dc.typeThesis

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