Title | ||
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Geo-sociograms: a method to analyze movement patterns and characterize tasks in location-based multiplayer games |
Abstract | ||
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Location-based multiplayer games happen in real space so movement is not the location change of an avatar in a virtual world, but real change of a player's physical location. Additionally, movement is a core interaction of these games. This makes the distances between players a key element of the game dynamics. Annotating recorded movements requires video annotation which is time-consuming and prone to mistakes. To tackle this problem we introduce geo-sociograms as a method to visualize distances between players over time at a glance. We apply this method to existing data, showing that it leads to many of the same insights as traditional video analysis while being less time-consuming. A study indicates that geo-sociograms have the potential to help characterize types of location-based games. Ultimately, we hope that geo-sociograms will help predict movement patterns when using particular game design elements. |
Year | DOI | Venue |
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2014 | 10.1145/2559206.2581298 | CHI Extended Abstracts |
Keywords | Field | DocType |
game dynamic,physical location,location change,location-based multiplayer game,traditional video analysis,real change,location-based game,real space,movement pattern,particular game design element,augmented reality,games,data visualization | Data visualization,Game mechanics,Computer science,Turns, rounds and time-keeping systems in games,Video annotation,Game design,Augmented reality,Human–computer interaction,Sociogram,Avatar,Multimedia | Conference |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Gero Herkenrath | 1 | 22 | 1.85 |
Carl Huch | 2 | 0 | 0.34 |
Florian Heller | 3 | 156 | 17.92 |
Jan Borchers | 4 | 1659 | 154.20 |