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Game Data Science

Online ISBN:
9780191919466
Print ISBN:
9780192897879
Publisher:
Oxford University Press
Book

Game Data Science

Magy Seif El-Nasr,
Magy Seif El-Nasr
Professor and Vice Chair of Serious Games, University of California at Santa Cruz
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Alessandro Canossa,
Alessandro Canossa
Professor, The Royal Danish Academy of Fine Arts Schools of Architecture, Design and Conservation
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Truong-Huy D. Nguyen,
Truong-Huy D. Nguyen
Software Engineer, Google
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Anders Drachen
Anders Drachen
Professor, Communications Director, Department of Computer Science, University of York. Co-Director, Digital Creativity Labs, Co-Director, Arena Research Cluster, Head of Analytics, Weavr
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Published online:
18 November 2021
Published in print:
14 October 2021
Online ISBN:
9780191919466
Print ISBN:
9780192897879
Publisher:
Oxford University Press

Abstract

This book is aimed at giving readers an introduction to the practical side of game data science and thus can be used a textbook for game analytics or game user research class or as a reference to self learners and enthusiasts. Game data science is a term that we use to denote a process composed of methods and techniques by which an analyst or a data scientist can make sense of data to allow decision makers in a game company to make informed decisions. This process involves: statistical analysis, visualization, abstraction of low-level data, machine learning and sequence data modeling. The book introduces different methods borrowing from different fields including human computer interaction, machine learning, and data science, focusing on methods and techniques used by both industry and researchers within the field of games. The book examples and case studies specifically focus on gameplay log data. The book takes a practical stance on the subject by discussing theoretical foundation, practical approaches, and delves deeply into the different techniques proposed and used through labs, examples, and comprehensive surveys of various case studies from both industry and academia. Topics range from simple approaches to more advanced ones. No prior knowledge is required. The book is developed to be self contained and can be used as a good way to introduce the reader to data science and how it is applied to the filed of games.

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