Game analytics: maximizing the value of player data
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
London [u.a.]
Springer
2013
|
| Schlagworte: | |
| Online-Zugang: | Klappentext Inhaltsverzeichnis |
| Beschreibung: | XV, 800 S. Ill., graph. Darst. |
| ISBN: | 1447147685 9781447147688 |
Internformat
MARC
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| 245 | 1 | 0 | |a Game analytics |b maximizing the value of player data |c Magy Seif El-Nasr ... (eds.) |
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Datensatz im Suchindex
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| adam_text | Developing a successful game in today s market is a challenging endeavor. Thousands of
titles are published yearly, all competing for players time and attention. Game analyt¬
ics has emerged in the past few years as one of the main resources for ensuring game
quality, maximizing success, understanding player behavior and enhancing the quality
of the player experience. It has led to a paradigm shift in the development and design
strategies of digital games, bringing data-driven intelligence practices into the fray for
informing decision making at operational, tactical and strategic levels.
Game Analytics
-
Maximizing the Value of Player Data is the first book on the topic of
game analytics; the process of discovering and communicating patterns in data towards
evaluating and driving action, improving performance and solving problems in game
development and game research. Written by over
50
international experts from industry
and research, it covers a comprehensive range of topics across more than
30
chapters,
providing an in-depth discussion of game analytics and its practical applications.
Topics covered include monetization strategies, design of telemetry systems, analytics
for iterative production, game data mining and big data in game development, spatial
analytics, visualization and reporting of analysis, player behavior analysis, quantitative
user testing and game user research. This state-of-the-art volume is an essential source
of reference for game developers and researchers.
Key takeaway
s
include:
•
Thorough introduction to game analytics; covering analytics applied to data on
players, processes and performance throughout the game lifecycle.
•
In-depth coverage and advice on setting up analytics systems and developing
good practices for integrating analytics in game-development and -management.
•
Contributions by leading researchers and experienced professionals from the
industry, including Ubisoft, Sony, EA,
Bioware,
Square Enix, THQ, Volition, and
PlayableGames.
•
Interviews with experienced industry professionals on how they use analytics to
create hit games.
Contents
Part I An Introduction to Game Analytics
1
Introduction
............................................................................................. 3
Magy
Seif El-Nasr,
Anders
Drachen,
and
Alessandro Canossa
2
Game Analytics
-
The Basics
................................................................. 13
Anders
Drachen, Magy Seif El-Nasr,
and
Alessandro
Canossa
3
Benefits of Game Analytics: Stakeholders,
Contexts and Domains
............................................................................ 41
Alessandro
Canossa, Magy
Seif El-Nasr,
and Anders
Drachen
4
Game Industry Metrics Terminology and Analytics Case Study
....... 53
Timothy Victor Fields
5
Interview with Jim Baer and Daniel McCaffrey from Zynga
............. 73
Magy
Seif El-Nasr
and
Alessandro
Canossa
Part II Telemetry Collection and Tools
6
Telemetry and Analytics Best Practices and Lessons Learned
........... 85
Sreelata Santhosh and Mark
Vaden
7
Game Development Telemetry in Production
...................................... 111
Georg Zoeller
8
Interview with Nicholas Francis and Thomas
Hagen
from Unity Technologies
............................................................. 137
Alessandro
Canossa
9
Sampling for Game User Research
....................................................... 143
Anders
Drachen,
André Gagné,
and Magy
Seif El-Nasr
10
WebTics: A Web Based Telemetry and Metrics
System for Small and Medium Games
.................................................. 169
Simon McCallum and Jayson Mackie
11
Interview with Darius Kazemi
............................................................... 195
Magy
Seif El-Nasr
Part III Game Data Analysis
12
Game Data Mining
.................................................................................. 205
Anders
Drachen,
Christian Thurau, Julian Togelius,
Georgios
N.
Yannakakis, and Christian Bauckhage
13
Meaning in
Gameplay:
Filtering Variables, Defining Metrics,
Extracting Features and Creating Models
for
Gameplay
Analysis
............................................................................ 255
Alessandro Canossa
14 Gameplay
Metrics in Game User Research:
Examples from the Trenches
.................................................................. 285
Anders
Drachen,
Alessandro
Canossa, and Janus Rau M0ller S0rensen
15
Interview with
Aki
Järvinen
from Digital Chocolate
.......................... 321
Alessandro
Canossa
16
Better Game Experience Through Game Metrics:
A Rally Videogame Case Study
............................................................. 325
Pietro
Guardini
and Paolo Maninetti
Part IV Metrics Visualization
17
Spatial Game Analytics
.......................................................................... 365
Anders
Drachen
and Matthias Schubert
18
Visual Game Analytics.
........................................................................... 403
Ben
Medier
19
Visual Analytics Tools
-
A Lens into Player s
Temporal Progression and Behavior
..................................................... 435
Magy
Seif
El-Nasr,
André Gagné,
Dinara
Moura, and
Bardia Aghabeigi
20
Interview with
Nicklas
Nifflas
Nygren..............................................
471
Alessandro
Canossa
Part V Mixed Methods for Game Evaluation
21
Contextualizing Data
.............................................................................. 477
Eric Hazan
22
Combining Back-End Telemetry Data with Established
User Testing Protocols: A Love Story
................................................... 497
Jordan Lynn
23
Game Metrics Through Questionnaires
............................................... 515
Ben Weedon
24
Interview with Simon M0ller from Kiloo
............................................. 539
Alessandro Canossa
25
Visual Attention and Gaze Behavior in Games:
An Object-Based Approach
................................................................... 543
Veronica Sundstedt, Matthias
Bernhard,
Efstathios Stavrakis,
Erik Reinhard,
and Michael Wimmer
26
An Introduction to Physiological Player Metrics
for Evaluating Games
............................................................................. 585
Lennart
E.
Nacke
27
Improving
Gameplay
with Game Metrics
and Player Metrics
.................................................................................. 621
Graham McAllister, Pejman Mirza-Babaei, and Jason Avent
Part VI Analytics and Player Communities
28
Data Collection in Massively Multiplayer Online Games:
Methods, Analytic Obstacles, and Case Studies
................................... 641
Nicolas Ducheneaut and Nick Yee
29
Designer, Analyst, Tinker: How Game Analytics
Will Contribute to Science
..................................................................... 665
Edward
Castronova,
Travis L. Ross, and Isaac Knowles
30
Interview with
Ola Holmdahl
and Ivan Garde from Junebud
........... 689
Alessandro
Canossa
Part
VII
Metrics and Learning
31
Metrics in Simulations and Games for Learning
................................. 697
Jan L. Plass, Bruce D. Homer, Charles K. Kinzer,
Yoo Kyung Chang, Jonathan Frye, Walter Kaczetow,
Katherine Isbister,
and Ken
Perlin
32
Conceptually Meaningful Metrics: Inferring Optimal
Challenge and Mindset from
Gameplay............................................... 731
Carrie Heeter, Yu-Hao Lee, Ben
Medier,
and Brian Magerko
33 Interview
with
Simon Egenfeldt Nielsen
II
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Part VIII
Metrics and Content Generation
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| spelling | Game analytics maximizing the value of player data Magy Seif El-Nasr ... (eds.) London [u.a.] Springer 2013 XV, 800 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Computerspiel (DE-588)4010457-6 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Computerspiel (DE-588)4010457-6 s DE-604 Seif El-Nasr, Magy edt Erscheint auch als Online-Ausgabe 978-1-4471-4769-5 Digitalisierung UB Augsburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025895877&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Klappentext Digitalisierung UB Augsburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025895877&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Game analytics maximizing the value of player data Computerspiel (DE-588)4010457-6 gnd |
| subject_GND | (DE-588)4010457-6 (DE-588)4143413-4 |
| title | Game analytics maximizing the value of player data |
| title_auth | Game analytics maximizing the value of player data |
| title_exact_search | Game analytics maximizing the value of player data |
| title_full | Game analytics maximizing the value of player data Magy Seif El-Nasr ... (eds.) |
| title_fullStr | Game analytics maximizing the value of player data Magy Seif El-Nasr ... (eds.) |
| title_full_unstemmed | Game analytics maximizing the value of player data Magy Seif El-Nasr ... (eds.) |
| title_short | Game analytics |
| title_sort | game analytics maximizing the value of player data |
| title_sub | maximizing the value of player data |
| topic | Computerspiel (DE-588)4010457-6 gnd |
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