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|Session Name:||Measuring and Manipulating Player Trust through Choice and Game Mechanics|
|Company Name(s):||Hazardous Software|
|Track / Format:||AI Summit|
|Overview:||Trust is a fundamental aspect of society and is vitally important to multiplayer games and social networks. Although reputation metrics have been well established in many areas of the game industry, from measuring player skill to ensuring that players who are nice to others have a positive social experience playing with others, relatively little work has been done on trust in games. Trust systems build on reputation systems in that they attempt to determine how players will behave in new situations. This lecture will present results from research in computational aspects of trust and reputation. It will show how "trust" can be formalized mathematically using decision theory and game theory, and then directly applied to game mechanics and player metrics. We will then provide an overview of how these techniques can be employed in games to create more believable NPCs, improve player experience, create new experiences, and increase player retention.|