Human Awareness Support by Changing Values of Hidden Factors of Input Stimuli Dynamically

Hideyuki Takagi, Keisuke Ikeda, Wei Qiang Lai

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

Abstract

We propose an awareness support system that helps a user to be aware of the reason of his/her evaluations. Based on our proposed definition of human awareness mechanism, we extract hidden factors of input information using an autoencoder neural networks and implement its decoder part into an awareness support system. The big feature of this system is to let a user change the values of the extracted hidden factors manually and observe the system outputs that change according to the changes of hidden factors. Experimental results using a task of generating facial emotions with 21 human subjects have shown the effectiveness of this approach.

Original languageEnglish
Title of host publication2018 9th International Conference on Awareness Science and Technology, iCAST 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages20-25
Number of pages6
ISBN (Electronic)9781538658260
DOIs
Publication statusPublished - Oct 31 2018
Event9th International Conference on Awareness Science and Technology, iCAST 2018 - Fukuoka, Japan
Duration: Sep 19 2018Sep 21 2018

Publication series

Name2018 9th International Conference on Awareness Science and Technology, iCAST 2018

Other

Other9th International Conference on Awareness Science and Technology, iCAST 2018
CountryJapan
CityFukuoka
Period9/19/189/21/18

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Human-Computer Interaction
  • Information Systems and Management
  • Experimental and Cognitive Psychology
  • Social Psychology
  • Communication

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