RECOGNITION OF EXTRAVERSION LEVEL BASED ON HANDWRITING AND SUPPORT VECTOR MACHINES.
This study investigated whether it is possible to train a machine to discriminate levels of extraversion based on handwriting variables. Support vector machines (SVMs) were used as a learning algorithm. Handwriting of 883 people (404 men, 479 women) was examined. Extraversion was measured using the...
| Publicado en: | Perceptual & Motor Skills Vol. 114; no. 3; pp. 857 - 870 |
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| Autores principales: | , |
| Formato: | Artículo |
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Sage Publications Inc.
Jun2012
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=83621051&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 83621051 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00315125 PSK jtl: Perceptual & Motor Skills issn: 00315125 maglogo: Y pubinfo: dt: Jun2012 vid: 114 iid: 3 pid: 344 pub: Sage Publications Inc. artinfo: ui: 83621051 10.2466/03.09.28.PMS.114.3.857-869 ppf: 857 ppct: 13 formats: tig: atl: RECOGNITION OF EXTRAVERSION LEVEL BASED ON HANDWRITING AND SUPPORT VECTOR MACHINES. aug: au: GÓRSKA, ZUZANNA JANICKI, ARTUR affil: Cardinal Stefan Wyszynski University, Warsaw Warsaw University of Technology su: Poland Personality assessment Sex distribution Writing evaluation Algorithms High performance computing Questionnaires Descriptive statistics sug: subj: Personality assessment Sex distribution Poland Writing evaluation Algorithms High performance computing Questionnaires Descriptive statistics ab: This study investigated whether it is possible to train a machine to discriminate levels of extraversion based on handwriting variables. Support vector machines (SVMs) were used as a learning algorithm. Handwriting of 883 people (404 men, 479 women) was examined. Extraversion was measured using the Polish version of the NEO-Five Factor Inventory. The handwriting samples were described by 48 variables. The support vector machines were separately trained and tested for each sex, using 10-fold cross-validation. Good recognition accuracy (around .7) was achieved for 10 handwriting variables, different for men and women. The results suggest the existence of a relationship between handwriting elements and extraversion. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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