Nuɖoɖo ƒe dzesi kpɔɖeŋu

Nɔnɔme ka nèkpɔ? Tsɔ ŋutilã ƒe nɔnɔmewo de dzesi: dzidzɔ, tristeza, dɔmedzoe, vɔvɔ̃, nukunu, ŋutilã gbegblẽ, alo ɖiɖiɖi. Ɖe ɣeyiɣi 2 miniti, le asi na ame, mèlɔ̃ ɖoɖo o. Ŋutilã siwo dɔwɔla aɖe wɔ, ame siwo mele agbe me o.

Helibrain ƒe dɔwɔlawo ŋlɔeRobert, biophysics ƒe PhD ɖekakpui, kpɔe Robert(English)Wo ɖe eŋu go le Wo gasɔe kpɔ le

Nu ka nuɖoɖo ƒe dzesi kpɔɖeŋu sia le kpɔm?

Game sia le kpɔm ale si wò dzesi si nèti la sɔ kple nɔnɔme si wogblɔ be yewɔ le ŋutilã tata siwo wowɔ kple kɔmpiuta me. Nɔnɔme aɖewo le bɔbɔe, eye bubuwo le sesẽ. Nɔnɔme si woɖe fia le ŋutilã tata me dzia la ƒe nuwɔna le sue wu ame nunya le teƒe si me wòle: ŋutilã ɖeka dzi me kpɔa ame aɖe ƒe dzimeɖoɖo ŋutɔ o [2]. Wò dzesi gblɔ nu tso ŋutilã tata siawo ŋu, menye wò sɔleme kple amewo katã ŋu o.

Nyatakaka veviwo

  • Dɔa: lé nɔnɔme si wogblɔ be yewɔ le ŋutilã tata 21 me.
  • Dzesiwo: dzidzɔ, tristeza, dɔmedzoe, vɔvɔ̃, nukunu, ŋutilã gbegblẽ kple ɖiɖiɖi.
  • Nɔnɔme ƒe sesẽ: bɔbɔe, dziɖuɖu kple sesẽ, kple ŋutilã tata siwo ɖiɖiɖi. Esiwo nye ŋkɔ siwo gblɔ nɔnɔme; menye dɔmedzoe ƒe nɔnɔme si woɖo ɖe ŋutɔ o.
  • Wò ŋuɖoɖo: Ɖoɖo siwo nèɖo, esiwo nèɖo nyuie le nɔnɔme kple sesẽ ƒe nu.
  • Fotaawo: ŋutilã siwo dɔwɔla aɖe wɔ, ame siwo mele agbe me o. Foto alo ŋutilã ŋuɖoɖo alo nyatakaka ŋutɔ aɖeke mele be nàna o.

Ale si game la wɔa dɔ

  1. Lala be fotaawo nava, eye nàde eme ne èdi.
  2. Kpɔ ŋutilã tata la. Tia dzesi si sɔ wu le dzesi adre la dome. Zã dzesibɔton alo zã nɔmba si le eŋu.
  3. Yi edzi va se ɖe set la nu. Dzesiwo anɔ teƒe ma ke. Ɖoɖoɖeƒe si wòɖo na loloɖeɖe mele eme o, eye ŋuɖoɖowo meɖea fia le game la me o.
  4. Xlẽ nuŋlɔɖi si ɖe wò ƒuƒoƒo me. Ne ètso tab la me le game wɔwɔ me la, teƒe sia ƒe kpɔkpɔ aɖe nu, ale be àte ŋu agbugbɔ agɔ eme.

Zã ekran si le dzadzɛ, ɣeɖoɖo si de ŋuwò, kple wò ŋkuɖiɖi si nèzãna ne ele vevie. Fɔ̃nu kple kɔmpiuta dzi la, fota kple ɖoɖo la sɔ, gake fota ƒe kɔkɔe ate ŋu aɖe asi le ale si nèkpɔ nɔnɔme bɔbɔe la ŋu. Ŋkuwɔwɔ dɔ sia mate ŋu awɔe to fota ŋu nuŋlɔɖi siwo screen reader xlẽna dzi o.

Ale si nàse wò ŋuɖoɖo gɔme

Ɖoɖo nyuitɔe nye ŋutilã tata ƒe akpa siwo nètia be dzesi si wogblɔ la sɔ. Esi wogblɔ la le vevie: ŋutilã nɔnɔmewo siawo wowɔ, eye nɔnɔme ate ŋu anɔ mɔxexe, togbɔ be ewɔla la bu dzesi aɖe le susu me hã. Game sia ƒe dzesiwo nye tiatiawo le game sia me; menye gɔmeɖeɖe be amegbetɔ ƒe dzimeɖoɖowo katã le akpa adre me o.

Nɔnɔme kple sesẽ ƒe akpa ɖe sia ɖe me ŋutilã tata aɖewo ko le. Wo dome ƒe vovototo ate ŋu ava tso fota kple ame siwo le eme la ŋu, menye ŋusẽ alo gbɔgbɔgblẽ si nɔa ame ŋu ɣeyiɣi didi me o. Ɖiɖiɖi nye akpa bɔbɔe aɖe, menye dzimeɖoɖo ɖe sia ɖe ƒe nɔnɔme si sesẽ sue o. Ne ègbugbɔ set sue sia wɔ geɖe la, ànyae wu eye nàwɔe nyuie wu.

Ne agbalẽvi siwo wɔ kpɔɖeŋu sia ƒe ŋutɔ ƒe amewo geɖe wu wɔe vɔ la, míana kakɛtɔ wu, sɔ kple, alo kakɛtɔ wu ƒe vovototo si tsɔ amewo bubu siwo wɔ ɖoɖo gbãtɔ le kpɔɖeŋu sia me ƒe ɖoɖowo wɔ ɖeka, eye míeɖe ɖoɖo siwo woɖe dzesi be womekpe ɖe eŋu o. Esi meva se ɖe ema ŋu o la, wò ŋuɖoɖo afia ale si ɖoɖo siwo kpɔ mɔ eƒuƒu va ɖo. Ame siwo va ɖo game sia me menye amewo ƒe dzesi si ɖe amewo katã fia o. Vovototo sia menye dzimeɖoɖo gã alo amenuveve ƒe akɔntabubu o.

Nu si sɔ kple nu si me dɔwɔwɔ siwo ŋu woɖo ŋku o la ɖe

Schlegel kple Scherer ƒe Geneva Emotion Recognition Test ƒe vovototo sue (GERT-S) zãa ŋutilã, ŋutilã ƒe dɔwɔwɔ kple gbe ƒe dzesiwo, eye wòle dzimeɖoɖo geɖe ŋu [1]. Eɖe fia nu si ta nuɖoɖo ƒe dzesi le ŋutilã tata dzadzɛ ko ŋu la meɖe nu katã o. Game míawɔa zãa ŋutilã tata dzadzɛ ko, eye menye GERT-S o.

Barrett kple dɔwɔla bubuwo ɖo ŋku nɔnɔme siwo te ŋu ava ne woɖe dzimeɖoɖo gɔme tso ŋutilã ƒe nɔnɔme ŋu la ƒe mɔxexe ŋu: nɔnɔme vovotowo le amewo, nɔnɔmetatawo kple xexeme vovovowo me, eye dɔwɔwɔ ɖeka ate ŋu axɔ tɔtrɔ vovovowo [2]. Agbe gbe sia gbe me la, teƒe si me amewo le kple nu si ame la gblɔ na wò le vevie.

Míawɔ ŋutilã tatawo menye nyatakaka siwo woɖo da ɖe dɔwɔwɔ ƒe ŋutɔ ƒe kpɔɖeŋu me o. Miezã ŋutilã ƒe fota-database si wɔna nu le dɔwɔwɔ me alo fota nyateƒe aɖeke o. Míekpɔ fotaawo ɖe anyi be míakpɔ nu siwo mewɔ nyuie o kple nɔnɔme siwo míedi be yewɔ la, gake womewɔ kpɔɖeŋu ƒe fota kple nɔnɔme ƒe dzesiwo la ƒe nyateƒeɖoɖo ɖe ame bubuwo ŋu o. Dɔwɔwɔ siwo wode dzesi ɖe eme la ƒe ɖoɖowo mewɔ dɔ le afi sia o.

Biabia siwo amewo bia zi geɖe

Esia nye EQ alo amenuveve ƒe kpɔɖeŋu a?

Ao. Eɖoa dzesi ale si nɔnɔme si wogblɔ be yewɔ sɔ kple ŋutilã tata ƒe set aɖe me. Mele dzimeɖoɖo ƒe nunya blibo, amenuveve, amewo ƒe nɔnɔme, alo ŋusẽ si ame tsɔna sena amewo bubuwo ƒe susu la kpɔm o.

Ŋutilã ƒe nɔnɔmewo ate ŋu agblɔ ale si ame aɖe sese na?

Ŋutilã ate ŋu ana dzesi, gake menye dzimeɖoɖo ƒe nyatakaka si ka ŋu na ame le eme o. Teƒe, gbe, ŋutilã ƒe dɔwɔwɔ kple nu si ame la gblɔ le asi na wò be nàse nu si le dzɔdzɔm la gɔme [2].

Nu ka ta vɔvɔ̃ kple nukunu me ɖe mɔ le eme?

Game sia ƒe nɔnɔmewo ate ŋu atsɔ dzesi aɖewo, abe ŋkuwo ɖeɖe la ene. Fota bɔbɔeawo me dzesi siwo le dzadzɛ me le sue. Ne wò dzesi meɖo ɖe eŋu o la, eɖe fia ale si nèɖo dzesi na fota sia, menye ale si nènya amewo gɔme le ɖoɖo katã me o.

Ŋutilã tatawo nye ame nyateƒe a?

Ao. Ŋutilã siwo dɔwɔla aɖe wɔ, ame siwo mele agbe me o, kple nɔnɔme siwo woɖe fia ɖe edzi. Míebia be nàɖo fota aɖe ɖe eme o, alo nàʋu kamera o.

Mate ŋu atsɔ eƒe ɖoɖo asɔ kple xɔ̃nye tɔ a?

Ɛ̃. Dzidada bɔton wɔa kadodo si de ŋutilã tatawo kple woƒe ɖoɖo ma ke ŋu, eye wò dzesi nyuitɔe hã le eme. Dzesi le kadodo si woma me la me mewɔ kpɔɖeŋu ɖe eŋu be enye nyateƒe o. Tsɔ woƒe ŋuɖoɖowo sɔ le dzidzɔ me, eye nàɖo ŋku edzi be kpɔɖeŋu ate ŋu atrɔ ŋuɖoɖoawo.

Ŋuɖoɖo blibo la le asi na ame a?

Ɛ̃, mehia akɔnta alo gaƒoƒo aɖeke o.

Kpɔɖeŋu bubu siwo do ƒome

Kpɔ dziŋusẽ ƒe kpɔɖeŋu bɔbɔe 43 katã

Èdi be nàwɔ esia ŋu gbe sia gbea? Helibrain ƒe app (si le English me fifia) si xɔ asi o kple plan siwo wòaxɔ

Dɔ axa sia ƒe ŋkɔ abe tsoƒe ene: Nuɖoɖo ƒe dzesi kpɔɖeŋu. Helibrain. 2026. https://helibrain.com/ee/emotion-recognition-test. CC BY 4.0.

How this test works

This game asks you to name the expression on a face. You see 21 computer-generated portraits of people who don't exist, one at a time, and pick the closest of seven labels: happy, sad, angry, fearful, surprised, disgusted or neutral. Some expressions are subtle and some are strong. There is no clock and no speed bonus. Your score is the share of portraits where your label matched the intended one. Psychology labs have used face-labelling tasks like this since the late 1960s.

Version 1 · Cite this test:

Helibrain (2026). Emotion recognition test, v1. https://helibrain.com/emotion-recognition-test/methods

Full method →

Nyatakakadzɔdzɔwo

  1. Schlegel K, Scherer KR (2016). Introducing a short version of the Geneva Emotion Recognition Test (GERT-S): Psychometric properties and construct validation. Behavior Research Methods 48:1383–1392. pubmed.ncbi.nlm.nih.gov/26416137/
  2. Barrett LF, Adolphs R, Marsella S, Martinez AM, Pollak SD (2019). Emotional Expressions Reconsidered: Challenges to Inferring Emotion From Human Facial Movements. Psychological Science in the Public Interest 20(1):1–68. pubmed.ncbi.nlm.nih.gov/31313636/

Ale si míewɔ axa sia: Helibrain ƒe dɔwɔlawo ŋlɔe le nuŋlɔɖi siwo le etsɔme la dzi, eye Robert(English) (biophysics ƒe PhD ɖekakpui) gasɔe kpɔ le adeɛmekpɔxe 4 lia 2026. Míele eŋu trɔm ne nuŋlɔɖiwo trɔ.