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Learning Avatar's Locomotion Patterns Through Spatial Analysis in FPS Video Games

Learning Avatar's Locomotion Patterns Through Spatial Analysis in FPS Video Games

Luis Alberto Casillas Santillan, Johor Ismael Jara Gonzalez
Copyright: © 2018 |Volume: 8 |Issue: 1 |Pages: 18
ISSN: 1947-9344|EISSN: 1947-9352|EISBN13: 9781522544562|DOI: 10.4018/IJOCI.2018010103
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MLA

Santillan, Luis Alberto Casillas, and Johor Ismael Jara Gonzalez. "Learning Avatar's Locomotion Patterns Through Spatial Analysis in FPS Video Games." IJOCI vol.8, no.1 2018: pp.28-45. http://doi.org/10.4018/IJOCI.2018010103

APA

Santillan, L. A. & Gonzalez, J. I. (2018). Learning Avatar's Locomotion Patterns Through Spatial Analysis in FPS Video Games. International Journal of Organizational and Collective Intelligence (IJOCI), 8(1), 28-45. http://doi.org/10.4018/IJOCI.2018010103

Chicago

Santillan, Luis Alberto Casillas, and Johor Ismael Jara Gonzalez. "Learning Avatar's Locomotion Patterns Through Spatial Analysis in FPS Video Games," International Journal of Organizational and Collective Intelligence (IJOCI) 8, no.1: 28-45. http://doi.org/10.4018/IJOCI.2018010103

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Abstract

This article describes how current video games offer an extreme use of media fusion. Such construction implies a novel form of complexity regarding game control and active response from game to player. All of these elements produce deeper immersion effect in players. In order to perform a detailed supervision over this kind of game, additional controls should be included in game. Some of these controls are the moving and decision schemes. Authors believe that players move around virtual scenarios following some sort of pattern. Every player would have a specific pattern, according to his/her experience and capability to manage the gamepad layout. Current proposal consists in a 3D geometrical model surrounding player's avatar. Data unwittingly provided by the player, have elements to discover and, eventually, learn some gamers' patterns. The availability of these patterns would allow an improved game response and even the possibility of machine learning, as well as other artificial intelligence strategies. Every 3D game may include the model proposed in this paper, due to its noninvasive operation.

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