User Guided Movement Analysis in Games using Semantic Trajectories

Ruben Schertler, Simone Kriglstein, Günter Wallner (Vortragende:r)

Publikation: Beitrag in Buch oder TagungsbandVortrag mit Beitrag in TagungsbandBegutachtung

Abstract

Understanding how players navigate through virtual worlds can offer useful guidance for map and level design of video games. One way to handle large-scale movement data obtained within games is by modelling movement as a sequence of visited locations instead of focusing on raw trajectory data. In this paper, we introduce a visualization approach for movement analysis based on semantic trajectories derived from a user-guided segmentation of the game environment. Based on this concept, the visualization offers an aggregated view of movement patterns together with the possibility to view individual paths for detailed inspection. We report on a user study with six experts from the game industry and compare the insights they have gleaned from the visualization with feedback from players. Our results indicate that the approach is successful in localizing problematic areas and that semantic trajectories can be a valuable addition to existing approaches for player movement analysis.
OriginalspracheEnglisch
TitelCHI PLAY '19: Proceedings of the Annual Symposium on Computer-Human Interaction in Play
Seiten613-623
Seitenumfang11
DOIs
PublikationsstatusVeröffentlicht - 2019
VeranstaltungCHI Play 2019 -
Dauer: 22 Okt. 201925 Okt. 2019

Konferenz

KonferenzCHI Play 2019
Zeitraum22/10/1925/10/19

Research Field

  • Ehemaliges Research Field - Capturing Experience

Schlagwörter

  • Visual game analytics; information visualization; semantic trajectories; movement analysis; user study

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