Open Access
Identification of Player Types in Massively Multiplayer Online Games
TLDR
This paper addresses the challenge of identification of player types in massively multiplayer online games (MMOGs) and demonstrates the approach using a PC.Abstract:
In this paper, we discuss an approach for identification of player types inmassively multiplayer online games (MMOGs). MMOGs provide fast growingonlinecommunities(Jarettet al.2003).Managingalarge-scalecommunityim-plies many challenges, such as identification of player types, social structures,and virtual economic mechanisms, etc. In this paper, we address the challengeonidentificationofplayertypes.AsafirststeptowarduseofrealMMOGdata,we demonstrate our approach using a PCread more
Citations
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MMOG Player Identification: A Step toward CRM of MMOGs
TL;DR: An effective approach for player identification is discussed, the results of which can be exploited for CRM of MMOGs, and a feature extraction method is proposed that is based on the frequency of each type of game items acquired by each player.
Episode Detection with Vector Space Model in Agent Behavior Sequences of MMOGs
Ji-Young Ho,Ruck Thawonmas +1 more
TL;DR: It is shown that episode sequences are more informative and improve the classiflcation ability over both action sequences and item sequences.
Modelling quest data for game designers
TL;DR: This paper presents a quest data model devised to provide database support for evaluation tasks performed by designers of online role playing games.
Proceedings ArticleDOI
Player Types in Mobile Learning Games – Playing Patterns and Motivation
TL;DR: An analysis of player behavior in the popular mobile learning game "Where is that" revealed four distinct clusters of learner types that can be categorized as Learners, Confirmers, Leisure Players and Sporadic Players.
Application of the Artificial Society Approach to Multiplayer Online Games: A Case Study on Effects of a Robot Rental Mechanism.
Ruck Thawonmas,Takeshi Yagome +1 more
TL;DR: Simulation results show the effectiveness of the proposed rental mechanism, namely, better game balance and inflation control, and indicate that the artificial society approach has high potential for use in multiplayer online game applications in order to systematically predict effects of each service or component.
References
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Book
Data Mining Techniques: For Marketing, Sales, and Customer Support
TL;DR: One of the first practical guides to mining business data, Data Mining Techniques describes techniques for detecting customer behavior patterns useful in formulating marketing, sales, and customer support strategies.
Posted Content
Growing Artificial Societies: Social Science from the Bottom Up
TL;DR: In this article, growing artificial societies are modeled with cutting-edge computer simulation techniques and fundamental collective behaviors such as group formation, cultural transmission, combat, and trade are seen to emerge from the interaction of individual agents following a few simple rules.