Modeling human intention in a live-feeling platform

Martin Lukac, Gaziza Oteniyaz, Michitaka Kameyama

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper presents a Bayesian Network (BN) model of human intention in an entertainment environment. We present a framework for live-feeling communication that allows an intelligent system to reconfigure its action based on user preferences and intention. The user intentions are learned from a training set of model situations and a hierarchical model of soccer game is integrated with the user intention into a single BN. The trained model is tested on a data set gathered from users. The BN model shows an accuracy of up to 85%.

Original languageEnglish
Title of host publicationProceedings of ICCM 2016 - 14th International Conference on Cognitive Modeling
EditorsDavid Reitter, Frank E. Ritter
PublisherThe Pennsylvania State University
Pages270-272
Number of pages3
ISBN (Electronic)9780998508207
Publication statusPublished - 2016
Event14th International Conference on Cognitive Modeling, ICCM 2016 - University Park, United States
Duration: Aug 3 2016Aug 6 2016

Publication series

NameProceedings of ICCM 2016 - 14th International Conference on Cognitive Modeling

Conference

Conference14th International Conference on Cognitive Modeling, ICCM 2016
CountryUnited States
CityUniversity Park
Period8/3/168/6/16

Keywords

  • Live entertainment
  • Live-feeling communication
  • User intention estimation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Modelling and Simulation

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