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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Quantification of psychological distance / Factor regression / Sparse selection |
Paper # | ASN2014-18 |
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Committee | ASN |
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Conference Date | 2014/5/22(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Ambient intelligence and Sensor Networks(ASN) |
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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 |