Presentation 2014-05-29
Relation Between the Reduction of the User Input Load and Prediction Accuracy for Interpersonal Emotion
Yuta IJIRI, Miyuki IMADA, Masato MATSUO, Hideyuki UEHARA,
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Abstract(in English) The puropose of this study is quantification of the psychological distance on interpersonal relationships for ambient application. We previously proposed multiple linear regression models using sparse selection for predicting the psychological distance to interpersonal relationships focused on workplace. In this paper, we have evaluated prediction accuracy when using automatically collectable information as explanatory variable. We got a prediction accuracy of about 60% when allowing two information manually input.
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Keyword(in English) Quantification of psychological distance / Factor regression / Sparse selection
Paper # ASN2014-18
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Conference Date 2014/5/22(1days)
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Registration To Ambient intelligence and Sensor Networks(ASN)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Relation Between the Reduction of the User Input Load and Prediction Accuracy for Interpersonal Emotion
Sub Title (in English)
Keyword(1) Quantification of psychological distance
Keyword(2) Factor regression
Keyword(3) Sparse selection
1st Author's Name Yuta IJIRI
1st Author's Affiliation Dept. of Electrical and Electronic Information Engineering, Toyohashi University of Technology()
2nd Author's Name Miyuki IMADA
2nd Author's Affiliation Network Innovation Laboratories, NTT Corporation
3rd Author's Name Masato MATSUO
3rd Author's Affiliation Network Innovation Laboratories, NTT Corporation
4th Author's Name Hideyuki UEHARA
4th Author's Affiliation Dept. of Electrical and Electronic Information Engineering, Toyohashi University of Technology
Date 2014-05-29
Paper # ASN2014-18
Volume (vol) vol.114
Number (no) 65
Page pp.pp.-
#Pages 4
Date of Issue