Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/22896
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. |
URI: | https://www.um.edu.mt/library/oar//handle/123456789/22896 |
Appears in Collections: | Scholarly Works - InsDG |
Files in This Item:
File | Description | Size | Format | |
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Capturing_Player_Enjoyment_in_Computer_Games.pdf | 328.18 kB | Adobe PDF | View/Open |
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