Predicting Real World Behaviors from Virtual World Data

Häftad, Engelska, 2016

AvMuhammad Aurangzeb Ahmad,Cuihua Shen,Jaideep Srivastava,Noshir Contractor

689 kr

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There is a growing body of literature that focuses on the similarities and differences between how people behave in the offline world vs. Each chapter will focus on a different aspect of virtual worlds to real world prediction e.g., demographics, personality, location, etc.

Produktinformation

Utgivningsdatum2016-09-24
Mått155 x 235 x undefined mm
FormatHäftad
SpråkEngelska
SerieSpringer Proceedings in Complexity
Antal sidor118
FörlagSpringer International Publishing AG
ISBN9783319348490

Tillhör följande kategorier

Preface.- On The Problem of Predicting Real World Characteristics from Virtual Worlds.- The Use of Social Science Methods to Predict Player Characteristics from Avatar Observations.- Analyzing Effects of Public Communication onto Player Behavior in Massively Multiplayer Online Games.- Identifying User Demographic Traits through Virtual-World Language Use.- Predicting MMO Player Gender from In-Game Attributes using Machine Learning Models.- Predicting Links in Human Contact Networks using Online Social Proximity.- Identifying a Typology of Players Based on Longitudinal Game Data.

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