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Visualizing and understanding. players’ behavior in video games :. discovering patterns and supporting. aggregation and comparison. Dinara Moura | dinara@sfu.ca Dr. Magy Seif El-Nasr | magy@sfu.ca. Game Usability. Questionnaires, Surveys Interviews Observation Think Aloud.
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Visualizingandunderstanding players’ behavior in video games: discovering patterns and supporting aggregation and comparison DinaraMoura | dinara@sfu.ca Dr. MagySeif El-Nasr | magy@sfu.ca
Game Usability • Questionnaires, Surveys • Interviews • Observation • Think Aloud
Game Analytics: Telemetry Visualization From Ubiosoft, GDC talk
Game Analytics: Eye Tracking From Report KeyLime Interactive working with THQ, 2010
Our Approach Telemetry/Metrics User Insight 2011-2014 (GRAND funded) Eye Tracking data Qualitative Self Report
Qualitative self report Who is testing the game? [expertise, favorite games, how much money spent in entertainment and games, hours/week, platform, RPGs/Dragon Age] Interview after each play session [keep playing, experience in general, got lost, accomplished all tasks]
Eye tracking data Areas of interest [HUD] How players use the menu and the map Distractions (3D environment) Visual attributes affecting performance [e.g. colors, environmental layout, motion]
Player tries to open a chest, but misses information on the bottom right
Player tries to open a chest, but misses information on the bottom right
Pros and Cons Quantitative data Static elements 3D dynamic environments Point of view Intersection of fixations with object of interest detection
Telemetry & Metrics Player behavior What do players do [and don’t] while playing? Do they miss important information? [e.g. collection, important characters, etc] Can we identify if the player is lost?
Three different clusters of players’ behavior. Time spent/area, interactions with NPCs, map activation, menu activation and players’ paths were measured.
Triangulation • User • Insight
Thanks to our supporters Questions? DinaraMoura | dinara@sfu.ca Dr. MagySeif El-Nasr | magy@sfu.ca