Paper Info
Title
Dynamic Difficulty Controlling Game System
Abstract
The game artificial intelligence (A.I.) technique has been neglected by this industry but it is recognized as an important part of the game within the framework of genesis. This paper is concerned with game A.I., and describes how a game system can be used for the auto balancing of game difficulty to control the level of difficulty in a game based on the skill of the player. A game involves factor of difficulty control (FDC) and factor of users' adaptation (FUA). FDC is a factor that makes a game more difficult, and FUA is a factor that shows how well a player plays a game. We propose a dynamic difficulty controlling game system (DDCGS) using FDC and FUA to automatically control the game difficulty according to the skill of the player. Thus, DDCGS extends the game lifecycle and creates a more exciting game for the user by optimizing the player's game experience .
Year
DOI
Venue
2007
10.1109/TCE.2007.381764
IEEE Trans. Consumer Electronics
Keywords
Field
DocType
game difficulty,important part,factor of users adaptation,artificial intelligence,game system,game experience,dynamic difficulty controlling game,factor of difficulty control,auto balancing,genesis,game lifecycle,dynamic difficulty,exciting game,difficulty control,game artificial intelligence,dynamic difficulty controlling game system,computer games,artificial intelligent,genetic algorithms,testing,automatic control,control systems,genetic algorithm,motion pictures,tv
Simultaneous game,Strategy,Computer science,Game design,Repeated game,Simulations and games in economics education,Artificial intelligence,Screening game,Sequential game,Non-cooperative game
Journal
Volume
Issue
ISSN
53
2
0098-3063
Citations 
PageRank 
References 
6
0.60
3
Authors
5
Name
Order
Citations
PageRank
Sang-Won Um171.45
Sukhan Lee21160280.42
Jaeyoung Lee3454102.07
TaeYong Kim47613.23
Jong-Soo Choi514730.10