Taflatse ƒe nufiafia

Wɔ 30 dzi kaba eye nɔnɔme nyuie, eye kpɔ ale si wò taflatse ɖo Fitts ƒe se nu. Free, register mehiã.

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

Ale si nàse wò dzesiwo gɔme

  • ɣeyiɣi average le taŋu ɖesiaɖe: ŋdiŋdiŋ ƒe ɣeyiɣi divide kple taŋuwo ƒe xexlẽme, le milliseconds (ms) me. Ɖeɖe sue nyo. Klik si dze taŋu o la tsɔa ɣeyiɣi, eye wòdo go le afisia hã.
  • Nɔnɔme nyuie: taŋu si nèwɔ divide kple klikwo katã le game ƒe teƒe me.
  • Taflatse si wòwɔ kaba wu: taŋu ɖeka si nèwɔ kaba wu.
  • Dɔwɔwɔ ƒe dzidzeme: dzidzeme kple taŋu ƒe sesẽ le nɔmba ɖeka me, le bits ɖesiaɖe sekunde (kpɔ egɔme le ete). Ɖeɖe ɖuɖu nyo.
  • Garis: dot ɖesiaɖe nye taŋu ɖeka, eye wòŋlɔ ɣeyiɣi kple ale si taŋu la sesẽ. Garis si wɔ ɖeɖeɖe nɔa Fitts ƒe se ƒe garis wòwɔ.

Nu ka nye Fitts ƒe se?

Fitts ƒe se gblɔna be ne taŋu la le didi eye sue la, ɣeyiɣi si wòhia be nàwɔe dzi la sɔ gbɔ. Paul Fitts ɖe fia le 1954 be ɣeyiɣi la tsɔa kple taŋu ƒe “sesẽ ƒe nɔmba”, si wotsɔa bits wɔna [1]. Egbe la, wòŋlɔna le log2(distance / width + 1) me [2]. Design wɔla zãa se sia be woawɔ buttonwo siwo bɔbɔe be wòawɔ dzi.

Nyatakakawo kaba

  • Nu si wòle kpɔm: ale si nàfua taŋuwo dzi kaba eye nɔnɔme nyuie: kpɔ teƒe si taŋu la le, tsɔ afɔ̃ ɖo afi ma, eye nàto ɖe edzi.
  • Dɔwɔwɔ ƒe dzidzeme kple mouse: lab ƒe nyatakakawo siwo zãa mɔ si siwo dze la ɖe 3.7 va 4.9 bits le sekunde ɖe sia ɖe [3].
  • Dɔwɔwɔ ƒe dzidzeme kple asikɔ: phone ƒe nyatakakadzi ɖeka me, ame 16 siwo de taŋuwo dzi kple asi la ɖo bits 7 le sekunde ɖe sia ɖe [4]. Míaƒe nɔmba zãa mɔ bɔbɔe wu (kpɔ ete), eya ta wòle be woatsɔ wo sɔ o.
  • Taŋu suewo le touch screen dzi: asikɔ ƒe asi tsɔa ta teƒe si le 1 va 1.5 mm ƒo na. Taŋu siwo sue wu 7 mm la ɖea ta ŋuɖoɖo geɖe [5].
  • Mouse kple touch siwo mebɔ o: woatsɔa nyatakakawo sɔ le mɔ ɖeka ko me.

Ale si taflatse ƒe nufiafia zãa dɔ

  1. Zi Start le game ƒe teƒe titina. Ɣeyiɣi la dzea egɔme.
  2. Wɔ taŋuwo dzi. Taŋu siwo kɔ ɖe ɖoɖo me 30 ava dze, ɖeka ɖeka, le gaƒoƒo etɔ̃ me. Taŋu ɖesiaɖe le didi tso esi do ŋgɔ la. Klik si dze taŋu o la nye nu vevi le nɔnɔme nyuie ƒe xexlẽme me; taŋu la anɔ anyi va se ɖe esime nèwɔ dzi.
  3. Kpɔ wò dzesi, kple Fitts ƒe se ƒe garis.

Ne èma wò dzesi la, wò xɔlɔ̃ xɔa taŋu mawo ke.

Míetsɔ taŋu ɖesiaɖe ƒe didi kple kekeme le ale si wòle fia me la wɔa dɔwɔwɔ ƒe dzidzeme, menye mɔ si lab ƒe se kɔ ɖe edzi la, si tsɔa nuvɔ̃ɖeɖe si me klikwo ƒo la ɖe eme o [3]. Eya ta míegblɔ be nàtsɔ wò ŋutɔ ƒe dzesiwo sɔ.

Nu ka wɔa wò taflatse nɔnɔme?

  • Didi kple kekeme. Taŋu didi, suewo hia ɣeyiɣi wu: esia nye Fitts ƒe se [1, 2].
  • Mɔnu si nèzã. Mouse, touchpad kple asiƒe asi zãa mɔ vovovowo. Lab ƒe nyatakakawo me la, touchpad wɔ dɔ kpɔtɔ wu mouse [3].
  • Dzidzeme alo dzesem. Ŋuʋuʋu wɔa nuvɔ̃ɖeɖe geɖe, eye nuvɔ̃ɖeɖe ɖesiaɖe tsɔa ɣeyiɣi. Dzesi nyuiwo dzena le dzidzeme si le ɖoɖo nu.
  • Age. Nyatakakadzi ɖeka me la, agbaɖoɖowo wɔ nuvɔ̃ɖeɖe sue wu ɖevi siwo ƒe age nye 12 va 14, eye wofua kaba wu ame siwo ƒe age nye 61 va 69 [6].
  • Nufiafia. Ɣeyiɣiwo susu le kpɔɖeŋu ɖe gbɔna me, elabena nèbɔ game la ŋu.

Nu si kpɔɖeŋu sia ate ŋu agblɔ kple nu si mate ŋu agblɔ o

Taflatse ƒe nufiafia la kpɔ ale si nèfua taŋuwo dzi kaba eye nɔnɔme nyuie le mɔnu sia dzi egbe. Menye susu ƒe kpɔɖeŋu alo wò dziŋusẽ ƒe lãmesẽ kpɔkpɔe o, eye dzesi si meɖe ɣeyiɣi sue ko la mefia ale si nàwɔ gamewo nyuie.

Tsɔ kple wò ŋutɔ ƒe kpɔɖeŋu siwo nèwɔ ɣeyiɣi va yi le mɔnu ma dzi. Mouse yeye alo screen ƒe kekeme bubu trɔa nɔmba la.

Biabia siwo wobia zi geɖe

Taflatse ƒe nufiafia ƒe dzesi nyui ka?

Tsɔ kple wò ŋutɔ ƒe kpɔɖeŋuwo le mɔnu ma dzi: game sia tɔgbi me la, dzesi nyui nye esi wu wò ɣeyiɣi si va yi. Ne ame geɖe wɔ game la vɔ la, dzesi la afia hã ale si wò kpɔɖeŋu gbãtɔ sɔ kple amewo ƒe kpɔɖeŋu gbãtɔ siwo zã input ma.

Nu ka nye dɔwɔwɔ ƒe dzidzeme le bits le sekunde me?

Dɔwɔwɔ ƒe dzidzeme ƒoa taŋuwo ƒe sesẽ kple ale si nèwɔ wo dzi kaba. Woxlẽ sesẽ le bits me: log2(distance / width + 1) [2]. Ɖe taŋu ɖesiaɖe ƒe ɣeyiɣi ŋu, eye naa average, eye nàxɔ bits le sekunde me. Lab ƒe nyatakakawo siwo zã mouse la ɖe bits 4 va 5 le sekunde me kple mɔ si le sesẽ wu [3].

Ɖeɖeɖe be woatsɔ mouse kple touch sɔ nyo?

Ao, eye míewɔa esia o. Asiƒe asi kple mouse trɔa mɔ vovovowo, eya ta dzesi la tsɔa wò sɔ kple amesiwo zã input ma ko.

Nu ka ta wò xɔlɔ̃ ƒe taŋuwo sɔ kple tɔnye?

Dzesi si woɖo ɖe mía dome la tsɔa dɔwɔwɔ la ƒe seed, eya ta taŋuwo dzena abe ɖeka ene. Esia wɔa nyawo bɔbɔe.

Taflatse ƒe nufiafia Helibrain ƒe fe meɖena?

Ɛ̃. Game la kple wò dzesi blibo la fe meɖena: register mehiã, email mehiã, ga meɖena.

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: Taflatse ƒe nufiafia. Helibrain. 2026. https://helibrain.com/ee/aim-trainer. CC BY 4.0.

How this test works

This game measures how quickly and accurately you can point at targets. Press Start, then hit 30 round targets that appear one at a time, in three sizes and at different distances. A miss doesn't move the target, but it costs time and lowers your accuracy. Your main score is your average time per target. You also see your accuracy and your throughput in bits per second. Psychology labs have used pointing tasks like this since Paul Fitts described them in 1954.

Version 1 · Cite this test:

Helibrain (2026). Aim trainer, v1. https://helibrain.com/aim-trainer/methods

Full method →

Sourcewo

  1. Fitts PM (1954). The information capacity of the human motor system in controlling the amplitude of movement. Journal of Experimental Psychology 47(6):381–391. doi.org/10.1037/h0055392
  2. MacKenzie IS (1992). Fitts' law as a research and design tool in human-computer interaction. Human–Computer Interaction 7(1):91–139. doi.org/10.1207/s15327051hci0701_3
  3. Soukoreff RW, MacKenzie IS (2004). Towards a standard for pointing device evaluation, perspectives on 27 years of Fitts' law research in HCI. International Journal of Human-Computer Studies 61(6):751–789. doi.org/10.1016/j.ijhcs.2004.09.001
  4. MacKenzie IS (2015). Fitts' throughput and the remarkable case of touch-based target selection. Human-Computer Interaction: Interaction Technologies (HCII 2015), LNCS 9170, 238–249. doi.org/10.1007/978-3-319-20916-6_23
  5. Bi X, Li Y, Zhai S (2013). FFitts law: modeling finger touch with Fitts' law. Proceedings of CHI 2013, 1363–1372. doi.org/10.1145/2470654.2466180
  6. Hertzum M, Hornbæk K (2010). How age affects pointing with mouse and touchpad: a comparison of young, adult, and elderly users. International Journal of Human-Computer Interaction 26(7):703–734. doi.org/10.1080/10447318.2010.487198

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.