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Revival Actions in a
Shooter Game
Sauvik Das1
,Thomas Zimmermann2
, Nachiappan
Nagappan2
, Bruce Phillips2
, Chuck Harrison2
2
Microsoft Corporation
{tzimmer, nachin, bruce.phillips, charlesh}
@microsoft.com
1
Carnegie Mellon University
sauvik@cmu.edu
Motivation
• There is a growing interest in
understanding social behavior in games.
• How does social behavior associate with
more traditional shooter game metrics?
The Game
• A popular multiplayer third-person shooter
game.
• Online team-based multiplayer
component.
• Two teams, playing against each other.
The Game
• Social play can be operationalized as:
• Revivals
• Assists
• Sharing weapons/ammo
• Spot/mark enemies
The Game
• Social play can be operationalized as:
• Revivals
• Assists
• Sharing weapons/ammo
• Spot/mark enemies
The Data
• Random sample of 26,000 players.
• Play traces of 928,000 cumulative
multiplayer sessions played.
Method
• Separated players into two groups:
• Group A: Never revived any teammates
• Group B: Revived a teammate at least
once.
Dimenson Characteristic Change
Engagement Session Count +297%
Skill
Kills +100%
Killing during
execution
+195%
Was Revived -55%
Deaths -12%
Success Win Rate +19%
Social Gave Weapon +486%
Preliminary Result
• Players who exhibit “pro” social behavior
appear to have a better experience with
the game
Future Work
• Extricate independent social dimensions.
• Analyze impact of social behavior across
three lenses:
• player’s social behavior
• team’s social behavior
• enemy’s social behavior (among
themselves)
?
Future Work
• Specific focus on retention.
• Strategy:
• cluster players according to social
dimensions (self, team, enemy)
• comparative analyses of cluster centroids.
• survival analysis for different clusters.

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Revival Actions in a Shooter Game

  • 1. Revival Actions in a Shooter Game Sauvik Das1 ,Thomas Zimmermann2 , Nachiappan Nagappan2 , Bruce Phillips2 , Chuck Harrison2 2 Microsoft Corporation {tzimmer, nachin, bruce.phillips, charlesh} @microsoft.com 1 Carnegie Mellon University sauvik@cmu.edu
  • 2. Motivation • There is a growing interest in understanding social behavior in games. • How does social behavior associate with more traditional shooter game metrics?
  • 3. The Game • A popular multiplayer third-person shooter game. • Online team-based multiplayer component. • Two teams, playing against each other.
  • 4. The Game • Social play can be operationalized as: • Revivals • Assists • Sharing weapons/ammo • Spot/mark enemies
  • 5. The Game • Social play can be operationalized as: • Revivals • Assists • Sharing weapons/ammo • Spot/mark enemies
  • 6. The Data • Random sample of 26,000 players. • Play traces of 928,000 cumulative multiplayer sessions played.
  • 7. Method • Separated players into two groups: • Group A: Never revived any teammates • Group B: Revived a teammate at least once.
  • 8. Dimenson Characteristic Change Engagement Session Count +297% Skill Kills +100% Killing during execution +195% Was Revived -55% Deaths -12% Success Win Rate +19% Social Gave Weapon +486%
  • 9. Preliminary Result • Players who exhibit “pro” social behavior appear to have a better experience with the game
  • 10. Future Work • Extricate independent social dimensions. • Analyze impact of social behavior across three lenses: • player’s social behavior • team’s social behavior • enemy’s social behavior (among themselves)
  • 11. ?
  • 12. Future Work • Specific focus on retention. • Strategy: • cluster players according to social dimensions (self, team, enemy) • comparative analyses of cluster centroids. • survival analysis for different clusters.