Please use this identifier to cite or link to this item:
Title: Capturing player enjoyment in computer games
Authors: Yannakakis, Georgios N.
Hallam, John
Keywords: Video games
Artificial intelligence
Human-computer interaction
Issue Date: 2007
Publisher: Springer-Verlag Berlin Heidelberg
Citation: Yannakakis, G. N., & Hallam, J. (2007). Capturing player enjoyment in computer games. In Baba, N., Jain, L. C. & Handa, H. (Eds.), Advanced intelligent paradigms in computer games (pp. 175-201). Berlin: Springer-Verlag.
Abstract: The current state-of-the-art in intelligent game design using Artificial Intelligence (AI) techniques is mainly focused on generating human-like and intelligent characters. Even though complex opponent behaviors emerge through various machine learning techniques, there is generally no further analysis of whether these behaviors contribute to the satisfaction of the player. The implicit hypothesis motivating this research is that intelligent opponent behaviors enable the player to gain more satisfaction from the game. This hypothesis may well be true; however, since no notion of entertainment or enjoyment is explicitly defined, there is therefore no evidence that a specific opponent behavior generates enjoyable games.
Appears in Collections:Scholarly Works - InsDG

Files in This Item:
File Description SizeFormat 
Capturing_Player_Enjoyment_in_Computer_Games.pdf328.18 kBAdobe PDFView/Open

Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.