Geo-Sociograms: A method to analyze movement patterns and characterize tasks in location-based multiplayer games
- 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.
| Author: | Gero Herkenrath, Carl Huch, Florian HellerORCiD, Jan Borchers |
|---|---|
| DOI: | https://doi.org/10.1145/2559206.2581298 |
| Parent Title (English): | CHI '14 Extended Abstracts on Human Factors in Computing Systems |
| Publisher: | ACM |
| Place of publication: | New York, NY |
| Document Type: | Conference Proceeding |
| Language: | English |
| Year of Completion: | 2014 |
| Tag: | augmented reality; data visualization; games; location-based; movement patterns; multiplayer |
| First Page: | 1501 |
| Last Page: | 1506 |
| Note: | CHI '14: CHI Conference on Human Factors in Computing Systems, Toronto, Ontario, Canada, 26 April 2014- 1 May 2014 |
| Link: | https://doi.org/10.1145/2559206.2581298 |
| Zugriffsart: | campus |
| Institutes: | FH Aachen / Fachbereich Elektrotechnik und Informationstechnik |
| collections: | Verlag / ACM |
