| Presentation | 2014-01-24 Approach for Quantification Realization of Interpersonal Emotions Miyuki IMADA, Kei HIROSE, Manabu YOSHIDA, Masato MATSUO, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We have made a challenge for quantification realization of interpersonal emotion, which is emotion strength for another people, to be usable in engineering. Our approach for the quantification uses statistical methods for developing the estimated regression equations of interpersonal emotion by using personal data and events turning to change the interpersonal emotion. The data for analysis was gathered by Web questionnaires. However majority of the data values of psychological attributes are missing, because these attributes are optional answer. In this paper, we propose a model for getting changes of the interpersonal emotion and an estimated regression method under large number of missing value using only 10 kinds of personal data or less. We confirmed that the method is able to stable prediction of interpersonal emotion more than 60% by using Web data and Monte Carl simulations. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Interpersonal affect / Large number of missing / Sparse estimation / Predictive models |
| Paper # | ASN2013-144 |
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| Conference Information | |
| Committee | ASN |
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| Conference Date | 2014/1/16(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| 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) | Approach for Quantification Realization of Interpersonal Emotions |
| Sub Title (in English) | |
| Keyword(1) | Interpersonal affect |
| Keyword(2) | Large number of missing |
| Keyword(3) | Sparse estimation |
| Keyword(4) | Predictive models |
| 1st Author's Name | Miyuki IMADA |
| 1st Author's Affiliation | NTT Network Innovation Laboratories, NTT Corporation() |
| 2nd Author's Name | Kei HIROSE |
| 2nd Author's Affiliation | Graduate School of Engineering Science, Osaka University |
| 3rd Author's Name | Manabu YOSHIDA |
| 3rd Author's Affiliation | NTT DOCOMO |
| 4th Author's Name | Masato MATSUO |
| 4th Author's Affiliation | NTT Network Innovation Laboratories, NTT Corporation |
| Date | 2014-01-24 |
| Paper # | ASN2013-144 |
| Volume (vol) | vol.113 |
| Number (no) | 399 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |