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

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 awarene...

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Bibliographic Details
Published in2018 9th International Conference on Awareness Science and Technology (iCAST) pp. 20 - 25
Main Authors TAKAGI, Hideyuki, IKEDA, Keisuke, LAI, WeiQiang
Format Conference Proceeding
LanguageEnglish
Japanese
Published IEEE 01.09.2018
Subjects
Artificial neural networks
awareness support system
Bars
Decoding
dynamic change
Face
Graphical user interfaces
hidden variables
IEC
neural networks
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ISSN2325-5994
DOI10.1109/ICAwST.2018.8517174

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Summary: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.
ISSN:2325-5994
DOI:10.1109/ICAwST.2018.8517174