To view prices and purchase online, please login or create an account now.



Social Interactions in Virtual Worlds: An Interdisciplinary Perspective

Hardback

Main Details

Title Social Interactions in Virtual Worlds: An Interdisciplinary Perspective
Authors and Contributors      Edited by Kiran Lakkaraju
Edited by Gita Sukthankar
Edited by Rolf T. Wigand
Physical Properties
Format:Hardback
Pages:452
Dimensions(mm): Height 236,Width 160
Category/GenreEthical and social aspects of computing
Games development and programming
Artificial intelligence
ISBN/Barcode 9781107128828
ClassificationsDewey:793.932
Audience
Professional & Vocational

Publishing Details

Publisher Cambridge University Press
Imprint Cambridge University Press
Publication Date 5 July 2018
Publication Country United Kingdom

Description

Within the rapidly-growing arena of 'virtual worlds', such as Massively Multiplayer Online Games (MMOs), individuals behave in particular ways, influence one another, and develop complex relationships. This setting can be a useful tool for modeling complex social systems, cognitive factors, and interactions between groups and within organizations. To study these worlds effectively requires a cross-disciplinary approach that integrates social science theories with big data analytics. This broad-based book offers a comprehensive and holistic perspective on the field. It brings together research findings from an international team of experts in computer science (artificial intelligence, game design, and social computing), psychology, and the social sciences to help researchers and practitioners better understand the fundamental processes underpinning social behavior in virtual worlds such as World of Warcraft, Rift, Eve Online, and Travian.

Author Biography

Kiran Lakkaraju is a Senior Member of the Technical Staff in the Sandia National Laboratories Cognitive Science and Applications group, New Mexico. His primary research interests lie in computational models of behavior change in society and exploring links between social and cognitive structures in problems of information dissemination and attitude change. His current work revolves around developing online social experiments through the Controlled, large online social experimentation platform. Gita Sukthankar is Associate Professor and Charles N. Millican Faculty Fellow in the Department of Computer Science at the University of Central Florida (UCF), and an affiliate faculty member at UCF's Institute for Simulation and Training. Her research focuses on multiagent systems and computational social models. She received an Air Force Young Investigator award and an NSF CAREER award. She served on DARPA's Computer Science Study Panel and is currently a member of DARPA's Information Science and Technology study group and the board of directors of IFAAMAS. Rolf T. Wigand is Maulden-Entergy Chair and Distinguished Professor Emeritus of Information Science and Business Information Systems at the University of Arkansas at Little Rock. He is the past director of the Syracuse University Graduate Program in Information Management and their Center for Digital Commerce. His research focuses on software standards development and collective action in the mortgage, automotive, and RFID industries, development of trust and leadership in virtual organizations, the analysis of social networks in disaster situations, and novel methods for analysis and tracking of collective action on social media.

Reviews

'While social platforms like Facebook, WhatsApp, LinkedIn and Twitter have a much broader reach, the uniqueness of massively multiplayer online games (MMOGs) and virtual worlds is that the participation in them is deep. Driven by various motivations, including achievement, socialization and immersion, participants can spend multiple hours a day on such platforms - deriving experiential benefits that are far beyond superficial, and often satisfying at a far deeper level. From a social science perspective, this provides a unique opportunity to extend and refine social science theories in a far more nuanced manner than before, and use them to build models for various applications. The key to this has been the availability of fine grained data about behavior, the 'big data of social science', as well as the development of a new social science research methodology which is based on computer science techniques like machine learning and social network analysis. We are witnessing the start of a new era in social science research, and this book is a timely collection of some of the best work in this rapidly expanding area of inquiry.' Jaideep Srivastava, University of Minnesota