Masayendisiti akashandisa algorithm kuronga dhata hombe rakaunganidzwa kubva kuvanhu 1.5 miriyoni kutsanangura mana akasiyana. unhu mhando
Chiremba wechiGreek Hippocrates akange ataura kuti kune majee mana emuviri akaumbwa maitiro evanhu izvo zvazoita kuti zvive zvina zvakakosha mhando dzemhando muvanhu. Hakusati kwave neruzivo rwakakura rwesainzi kutsigira dzidziso yake uye nekudaro yakarambwa nguva nenguva. Pfungwa ye unhu mune zvepfungwa zvakaramba zvichinetsa. Zvidzidzo zvakawanda zvakaitwa pamapoka madiki nekudaro zvakabuda hazvina kutambirwa nepasi rose sezvo zvichinetsa kutevedzera. Pakave pasina data yesainzi kusvika nhasi kutsigira pfungwa yemhando dzehunhu.
Pfungwa iyi inogona kupedzisira yachinja sechidzidzo chitsva chakaburitswa muNature munhu maitiro anoratidza kuti kune mana akasiyana masumbu emhando dzehunhu mukati vanhu nokudaro vachizivisa kuti dzidziso yaHippocrates yakanga iri yechokwadi musayenzi. Vatsvagiri kubva kuNorthwestern University vakashandisa nhamba huru yevakapinda miriyoni 1.5 mukudzidza kwavo kugadzira data set. Vakaunganidza ruzivo kubva kumibvunzo ina yevakapindura miriyoni 1.5 uye data rakasanganiswa rakatorwa kubva kuna John Johnson IPIP-NEO, myPersonality project uye BBC Big Personality Test datasets. Mapepa emibvunzo aya aiva nemibvunzo iri pakati pe44 kusvika ku300 uye akagadzirwa zvakakwana nevatsvakurudzi kwemakore. Vanhu vanotora nekuzvidira iyi mibvunzo yepaindaneti kuti vagamuchire mhinduro pahunhu hwavo uye data rese rinobatsira rave kuwanikwa nevatsvaguri pasi rese kuti vaongorore uye vaongororwe. Chete nekuda kwesimba reinternet kuti zvinokwanisika kuunganidza data rakadaro nyore uye ruzivo rwese runogona kuiswa. Vaibvunzurudza vekare vaifanira kugovaniswa uye kuunganidzwa, izvo zvaida simba guru revanhu uye zvakanga zvishoma. Chinhu chakanyanya kusimba pachidzidzo chazvino ndiko kushandiswa kwedata ragara riripo.
Vatsvakurudzi pavakaedza kugadzirisa dhata nekushandisa echinyakare clustering algorithms, vakawana mhedzisiro isina kujeka yairatidza 16 hunhu mhando. Saka, vakasarudza kuchinja maitiro avo. Vakatanga kushandisa algorithms yekuunganidza chiyero kutsvaga data iripo asi vakaisa zvimwe zvipingaidzo. Ivo vakaronga pane quadrant graph pamusoro pekuti iyo data seti yakaratidza sei zvishanu zvinogamuchirwa zvakanyanya hunhu: neuroticism, extraversion, kuvhurika, kubvumirana uye kungwarira. Aya maitiro anonzi 'Big Five' anogamuchirwa seakanyanya kuvimbika uye anodzokororwa madomasi ehunhu hwevanhu. Tichitarisa zvirongwa, vatsvakurudzi vakacherechedza mhando ina huru dzeunhu zvichienderana neboka ravo repamusoro. Vakaenderera mberi vakasimbisa huchokwadi hwemapoka matsva kuburikidza nevakomana vechidiki - vanoonekwa sevasina maturo uye vanongozvifunga - uye zvirokwazvo ndivo boka guru revanhu 'vanongozvifunga' vakafanana muhuwandu hwakasiyana.
The mapoka mana akasiyana vanotsanangurwa sevakachengeterwa, vanoyemurika, pakati uye vanongozvifunga.
a) Reserved vanhu hadzina kuvhurika asi dzakagadzikana mupfungwa. Ivo vari introvert uye kazhinji vanobvumirana uye vane hana. Hunhu uhu ndihwo husina kwazvakarerekera zvisinei nezera, murume kana mukadzi kana demografia.
b) Vatevedzeri kunyange akaderera muunhu asi akakwira mune mamwe uye ane hunhu hwehutungamiriri. Iwo akanaka, akavhurika uye anochinjika kumazano matsva uye kazhinji yenguva akavimbika. Vakadzi vaionekwa zvakanyanya muboka iri. Uye nokuda kwezvikonzero zviri pachena vanhu vanopfuura makore 40 ezera nokuti mukana wokuva muenzaniso wakanaka unowedzera nezera. Vanyori vanotaura kuti kuva pedyo nemienzaniso yakawanda kunogona kuita kuti upenyu huve nyore uye hugadzikane.
c) Avhareji yevanhu zvakanyanya extrovert uye neurotic uye iyi ndiyo inonyanya kuzivikanwa mhando. Vanhu ava vanowanzova neavhareji yezvibodzwa muhunhu hwese uye muboka iri, mune vakadzi zvishoma kudarika varume. Sekureva kwevanyori uyu angave munhu 'akajairika'.
d) Vanhu vanongozvifunga sekutaura kunoita izwi rinonyanya kuburitsa asi risingavhurike. Ivowo havafariri kana kungwarira kana kushanda nesimba. Zvinotarisirwa kuti mune vechidiki vakawanda muboka iri kunyanya vakomana. Uye hapana vakadzi vanopfuura makore 60 ezera vari muboka iri.
Hunhu hwe'avhareji' hunogona kutorwa se 'akanakisa' kana 'akachengeteka'.
Zvinoonekwa zvakare kuti sezvo vanhu vachikura, kubva mukuyaruka kusvika pakukura, mhando dzehunhu dzinowanzo chinja kana kushanduka kubva kune imwe mhando kuenda kune imwe. Mienzaniso vanhu vari pasi pemakore makumi maviri ezera vanowanzove vane neurotic uye vashoma kuwirirana kana vachienzaniswa nevakuru vakuru. Zvidzidzo zvakadaro zvakaitwa pamwero mukuru zvinoratidza mhedzisiro iri nani asi kuti maitiro ehunhu aya anochinja sei nezera anofanirwa kuongororwa zvakare. Nzira yakagamuchirwa iri kunzi yakasimba nenyanzvi. Chidzidzo chakadaro hachingofadzi chete asi chinogona kubatsira pakuhaya vashandi kuti vatsvage vanhu vanogona kunge vanokodzera rimwe basa kana sangano. Inogona kuve chishandiso chinobatsira kune vanopa hutano hwehutano hwepfungwa kuti vakwanise kuongorora hunhu hwemhando dzine hunhu hwakanyanya. Inogona zvakare kushandiswa sevhisi yekupfimbana kusangana neakakodzera anoenderana naye kana zvakapesana zvakakwana kunyangwe zvichitendwa kuti 'vanopikisa vanokwezva'.
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{Unogona kuverenga bepa rekutanga rekutsvagisa nekudzvanya iyo DOI link yakapihwa pazasi mune rondedzero yeakanyorwa sosi(s)}
Chitubu (s)
Gerlach M et al 2018. Nzira yakasimba-inofambiswa nedata inozivisa mhando ina dzehunhu pane ina yakakura data seti. Maitiro Ehunhu Hunhu. https://doi.org/10.1038/s41562-018-0419-z
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