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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 : Engineering > Computer Science

Green Bang 1 Il Ju, Ko 2

1숭실대학교 미디어학과
2숭실대학교

Accredited

ABSTRACT

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.

Citation status

* References for papers published after 2022 are currently being built.

This paper was written with support from the National Research Foundation of Korea.