Kĩgerio kĩa gũthinga

Thinga mĩario 30 na ihenya na ũgĩrĩru mũingĩ ũrĩa ũhotete, ũone ũrĩa ũthamaki waku ũigana na mũriĩ wa Fitts. Nĩ kĩama, ndũrĩ haja ya kwandĩka rĩĩtwa.

Nĩ andũ a HelibrainNĩyaretiirwo na Robert(Gĩkĩngeresa), mũndũ ũrĩ gũthoma PhD ya biophysicsYandĩkĩtwo Nĩyaretiirwo rĩngĩ mũthenya wa mũthia

ũrĩa wa kũigua mũgwanja waku

  • Ihinda rĩa mũario o mũmwe: ihinda rĩothe rĩa kũina rĩgaiwe na mĩario yothe, na milliseconds (ms). Ihinda inini nĩ njega. Kũcikĩra gũtirĩ mũario nĩ kwongerera ihinda, nĩ ũndũ ũcio kũronekaga haha.
  • Ũgĩrĩru: mĩario ĩrĩa ũthingĩte igaiwe na kũcikĩra kwaku kwothe gũkũa gĩthaka kĩa kũina.
  • Kũgũra kwa mbere: mũario ũrĩa ũthingĩte na ihenya rĩa gũkĩra.
  • Throughput: ihenya na ũũru wa kũina rĩrĩ hamwe na namba ĩmwe, bits kwa sekondi (ona thiĩ). Namba nene nĩ njega.
  • Chati: kĩũũgũ o gĩkĩrĩ kĩrĩ mũario ũmwe, na ihinda rĩa gũthinga rĩo rĩageranĩtio na ũũru waguo. Mũriĩ wa mitaro ya mĩtĩrĩrĩ nĩ mũriĩ waku wa Fitts's law.

Fitts's law nĩ kĩ?

Mũriĩ wa Fitts ũragĩa atĩ mũario ũrĩ ũraihu na munini, nĩ ũndũ ũcio ihinda rĩa kũũthinga rĩnene. Mwaka wa 1954, Paul Fitts nĩonire atĩ ihinda rĩongerereka na mũriĩ ũrĩ mũrongo mwena ũmwe hamwe na “index of difficulty” ya mũario, ĩrĩa ĩgĩrĩtwo na bits [1]. Rĩu ũandĩkagwo na ũhoro wa log2(distance / width + 1) [2]. Athomi a design nĩmatũmĩraga ũndũ ũcio gũtũma buttons ciwe nyamũrĩre kũthinga.

Ũhoro wa haraka

  • Kĩgerio kĩrĩa kĩrĩ gũthima: ũrĩa ũthingaga mĩario na ihenya na ũgĩrĩru: kuona mũario ũrĩ, gũthiĩ hau na kwĩmĩrĩra hau.
  • Throughput na mouse: magerio ma labũratorĩ matũmĩtĩte mũtaratara wa kawaida nĩmarutaga bits ta 3.7 nginya 4.9 kwa sekondi [3].
  • Throughput na rũĩ: kĩgerio kĩmwe kĩa simu, andũ 16 makĩrĩa mĩario na mahiga nĩmakinyĩrĩire bits ta 7 kwa sekondi [4]. Namba ciitũ nĩ ciarutwo na mũtaratara mwepũ, nĩ ũndũ ũcio itigana gũgeranĩtwo na ciacio o ta ũcio.
  • Mĩario nini kũu screen cia gũcoka: rũĩ rũgũkora thĩ ta 1 nginya 1.5 mm itarĩ kũmenyerera; mĩario ĩrĩ inini gũkĩra ta 7 mm nĩĩtũmaga andũ mahinge mĩario mĩingĩ [5].
  • Mouse na gũcoka nĩ itiganĩte: macookio nĩmagĩrĩtio o haha gatagatĩ ka mũtaratara ũmwe wa kũingĩra.

ũrĩa kĩgerio kĩa gũthinga gĩtũũragĩra

  1. Thondeera Start gatagatĩ ka gĩthaka kĩa kũina. Ihinda rĩambĩrĩria.
  2. Thinga mĩario. Mĩario ya mũringo 30 nĩĩonekanaga ĩmwe ĩmwe, na mĩgwanja ĩtatũ, o ũmwe ũrĩ kũu kũraya na ũrĩa wa mbere. Kũcikĩra ũtathinga nĩkũũgĩra ũgĩrĩru waku; mũario ũtiga hau nginya ũthinge.
  3. Ona macookio maku, na mũriĩ waku wa Fitts.

Ũgĩcokia mũgwanja waku, mũrata waku nĩagĩa na mĩario ĩrĩa o ta yaku.

Tũgĩtũma throughput kuuma kũraya na ũraihu wa mũario ta ũrĩa wonanĩtio, tũtikanĩtie macookio marĩa lab standard yongeraga kũringana na kũrĩa kũcikĩra kwaguĩte [3]. Nĩ ũndũ ũcio tũkũũria ũgeranĩe na macookio maku meene.

Nĩ kĩ kĩhũthagia ũthamaki waku?

  • Kũraya na mũgwanja. Mĩario irĩ kũraya na nini nĩĩtũmaga ihinda rĩa kũthinga rĩnene: ũcio nĩ mũriĩ wa Fitts [1, 2].
  • Kĩndũ kĩa kũina. Mouse, touchpad na rũĩ nĩcitũmaga macookio marĩa matiganĩte. Magerio ma labũratorĩ nĩmonirie atĩ touchpad nĩĩrĩ ya kũina mũno gũkĩra mouse [3].
  • Ihenya kana kũmenyerera. Gũkĩra na ihenya nĩ kwongerera kũhingĩra, na kũhingĩra guothe nĩ kwongerera ihinda. Macookio mega mũno nĩmaumaga na ihenya rĩtũũru.
  • Mĩaka. Kĩgerio kĩmwe kĩonirie atĩ andũ agima nĩmahingĩraga makinya manini gũkĩra ciana cia mĩaka 12 nginya 14, na nĩmahinya gũkĩra andũ a mĩaka 61 nginya 69 [6].
  • Kũmenyerera. Ihinda rĩniniaga mĩnyanya ya mbere ũgĩtũma ũmenyerere kĩna gĩkĩ.

Kĩgerio gĩkĩ kĩngĩkũũria atĩa na gĩtingĩkũũria atĩa

Kĩgerio gĩkĩ kĩgĩthima ihenya rĩa gũthinga na ũgĩrĩru wa kũthinga na kĩndũ gĩkĩ rĩrĩu. Gĩtirĩ kĩgerio kĩa ũmenyo kana ũgima wa ũbongo waku, na mũgwanja mũnini ndũgũũria ũrĩa ũgĩkorwo ũrĩ mwega mĩchezo-inĩ.

Geranĩria na macookio maku ma mbere matũmĩte kĩndũ kĩu gĩgĩ, nĩgũkorwo mouse njerũ kana screen ya mũgwanja ũrĩa ũngĩ nĩĩgarũraga namba.

Ũria ũũrĩtwo mĩingĩ

Mũgwanja mwega wa kĩgerio kĩa gũthinga nĩ ũrĩkũ?

Geranĩria macookio maku kũndũ kũmwe na kĩndũ kĩu gĩgĩ: kĩgerio ta kĩĩ, mũgwanja mwega nĩ ũrĩa ũkĩra ũrĩa ũrutire mbere. Andũ angĩ makĩina, macookio nĩmonanagia na ũrĩa mũgwanja waku wa mbere ũgeranĩte na mĩgwanja ya mbere ya arĩa angĩ matũmĩte mũtaratara o ũcio wa kũingĩra.

Throughput ya bits kwa sekondi nĩ kĩ?

Throughput nĩĩhũthĩrĩria ũũru wa mĩario na ihenya rĩa kũũthinga. ũũru nĩũgĩrĩtwo na bits: log2(distance / width + 1) [2]. Tharĩria na ihinda rĩa gũthinga o mũario, ũthenjĩrĩrie, na nĩũgĩa na bits kwa sekondi. Magerio ma labũratorĩ ma mouse nĩmarutaga bits ta 4 nginya 5 kwa sekondi na mũtaratara mũtheru mũno [3].

Nĩwagĩrĩirwo kũgeranĩria mouse na gũcoka?

Aca, na tũtirĩtũgeranĩria. Rũĩ na mouse nĩcitũmaga kũhũthĩra kwa mĩtugo itiganĩte, nĩ ũndũ ũcio macookio maku nĩmagĩrĩtio o na arĩa matũmĩte mũtaratara ũcio wa kũingĩra.

Nĩ kĩ mĩario ya mũrata yakwa ĩrĩ o ta yakwa?

Link ya gũgawana mũgwanja ĩrĩ na seed ya kũina, nĩ ũndũ ũcio mĩario nĩĩoneka o ta ĩmwe. Ũcio nĩũtũmaga magerio ma kũriĩra me o kĩũgĩ.

Kĩgerio kĩa Helibrain kĩa gũthinga nĩ kĩama?

Ĩĩ. Gĩkĩna na macookio maku mothe nĩ cia: ndũrĩ haja ya kwandĩka rĩĩtwa, email kana kũrĩha.

Magerio marĩ hamwe

Ona magerio mothe ma ũbongo ma bure 43

Ũkwenda kwĩthaa wĩra ũyũ o mũthenya? App ya Helibrain (rĩu nĩ Gĩkĩngeresa tu) ĩrĩ na gahunda ya bure na gahunda iria cia kũrĩha.

Taũra karatathi gaka: Kĩgerio kĩa gũthinga. Helibrain. 2026. https://helibrain.com/ki/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 →

Kũrĩa twaheaga ũhoro

  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

Ũrĩa tũgĩĩte ũtari ũyũ: wandĩkĩtwo nĩ andũ a Helibrain, makĩhũthĩrĩra ithomithia iria ciandĩkĩtwo igũrũ, na ũkĩretiirwo na Robert(Gĩkĩngeresa) (mũndũ ũrĩ gũthoma PhD ya biophysics) mũthenya wa 4 Mwere wa ikũmi na ũmwe 2026. Tũũcookereria rĩrĩa mĩhĩrĩga ya ũhoro yacooka gucooka.