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Spatial Information Based Simulator for User Experience‘s Optimization
Journal of The Korea Society of Computer and Information
Abbr :
JKSCI
2016, 21(3), pp.97-104
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science
2016, 21(3), pp.97-104
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science
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In this paper, we propose spatial information based simulator for user experience optimization and minimize real space complexity. We focus on developing simulator how to design virtual space model and to implement virtual character using real space data. Especially, we use expanded events-driven inference model for SVM based on machine learning. Our simulator is capable of feature selection by k-fold cross validation method for optimization of data learning. This strategy efficiently throughput of executing inference of user behavior feature by virtual space model. Thus, we aim to develop the user experience optimization system for people to facilitate mapping as the first step toward to daily life data inference. Methodologically, we focus on user behavior and space modeling for implement virtual space.
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