Asekyed n useḍfer n yiswi

Sɣeḍ 30 n yiswi s tɣawla d tɣawsa akken tzemreḍ, sakin wali amek iḍfer useḍfer-ik aẓar n Fitts. Ilelli, war asmiḍen.

Sɣur tarbaɛt n HelibrainIɛawed-as asenqed Robert(Taglizt), anelmad n doctorate deg biophysiqueYeffeɣ-d Asenqed aneggaru n

Amek ara teɣreḍ agmuḍ-ik

  • Akud alemmas i yal iswi: akk urar yettwabḍu ɣef umḍan n yiswi, s milisekunden (ms). Ma yeẓẓay, yif-it. Asiti ur nessiweḍ ara yettawi akud, ihi yettban daɣen dagi.
  • Taɣawsa: iswiwin i tesɣiḍ deg akk isitiwen-ik ɣer temnaṭ n wurar.
  • Asiti arurad: iswi amezwaru i tesɣiḍ s tɣawla tamezwarut.
  • Aseḍfer: tɣawla d wugur deg yiwen n wuṭṭun, s bits deg tasint (wali ddaw). Ma yeḍfer, yif-it.
  • Tafelwit n usissen: yal tanqiṭ d yiwen n yiswi, akud-is ɣer wugur-is. Izirig i d-yeqqnen d tiqraḍin d aẓar n Fitts inek.

D acu-t aẓar n Fitts?

Aẓar n Fitts yenna-d belli ma yebɛed yiswi u ma meẓẓi, yettawi akud ugar ad t-sɣeḍ. Paul Fitts yesseken-d deg 1954 belli akud yettimɣur s uswir n usiggez n yiswi, i yettwasemman "index of difficulty", yettwasemḍen s bits [1]. Ass-a yettaru s umata am-a: log2(distance / width + 1) [2]. Imsebdaden seqdacen-it iwakken ad rnun tisura i yessehlayen asiweḍ ɣer-sent.

Iseɣẓanen iwezlanen

  • D acu i isekyed: acḥal i teẓẓayeḍ u acḥal i tɣawsaḍ mi ara tḍefreḍ iswi: ad twaliḍ anida yella, ad truḥeḍ ɣer-s u ad tesḥebseḍ fell-as.
  • Aseḍfer s umesli: tisekkiwin n laboratuwar s tarrayt tameɣtut ttwafent 3.7 ar 4.9 bits deg tasint [3].
  • Aseḍfer s ufus: deg yiwen n usekyed n tilifun, 16 n yimdanen i yessitiyen ɣer yiswiwin weḍen ɣer 7 bits deg tasint [4]. Iwuṭṭunen-nneɣ seqdacen tarrayt tafessast (ddaw), ihi ur zemmren ara ad ttwasemṣadren srid.
  • Iswiwin imeẓẓiyen ɣef yisekkaren n usiṭṭef: asiti s ufus yettɛeṭṭil s umata 1 ar 1.5 mm, iman-is; iswiwin i ddaw n 7 mm ttawin-d aṭas n tuccḍiwin [5].
  • Amesli d usiṭṭef: igmaḍ ttwasemṣadren kan gar-asen mi ara ilin deg yiwet n talɣa n usekcam.

Amek i teddu tarmit n useḍfer n yiswi

  1. Ssit ɣef Bdu deg tlemmast n temnaṭ n wurar. Akud yebda.
  2. Sɣeḍ iswiwin. 30 n yiswiwin imɣellelen ad d-banen yiwen yiwen, s kraḍ n teɣziwin, yal yiwen yebɛed akken ilaq ɣef win i d-yezrin. Asiti ur nessiweḍ ara yettḥeseb ɣef tɣawsa-ik; iswi ad yeqqim alamma tesɣiḍ-t.
  3. Wali agmuḍ-ik, akked izirig-ik n uẓar n Fitts.

Ma tebḍiḍ agmuḍ-ik, ameddukel-ik ad yeṭṭef yiwen n yiswiwin kif-kif.

Nessemɣar aseḍfer seg ubɛed d teɣzi n yal iswi am wakken i d-yettban, war iseggemma i d-yernu uswir n laboratuwar i wamek i d-ttadren isitiyen [3]. Ayagi iɣef i d-nini belli ilaq ad tesemṣadreḍ igmaḍ-ik d wid n tarmitin-ik kan.

D acu i yettḥazaren aseḍfer-ik?

  • Abɛed d teɣzi. Iswi yebɛed, meẓẓi, yettawi akud aṭas: d ayen i d-yenna uẓar n Fitts [1, 2].
  • Allal. Amesli, taɣerdayt n umesli d ufus sɛan igmaḍ yemgaraden. Deg yisekkilen n laboratuwar, taɣerdayt n umesli teṭṭef akud aṭas ugar n umesli [3].
  • Tɣawla neɣ leḥder. Ma tɣawleḍ, ttimɣurent tuccḍiwin; yal tuccḍa tettawi akud. Igmaḍ ifazen ttas-d seg tɣawla tameɣtut.
  • Aseggas. Deg yiwen n usekyed, imɣaren xas-d tuccḍiwin drus ɣef warrac n 12 ar 14 n yiseggasen, u tɣawla-nsen tegga ɣef win n yimdanen n 61 ar 69 n yiseggasen [6].
  • Aselmed. Akud yettwasenqes deg kra n tarmitin timezwura akken tettaɛerreḍ ɣer wurar.

D acu i yezmer ad d-yini d acu i ur yezmir ara ad d-yini usenqed-a

Tarmit n useḍfer n yiswi tesekyad tɣawla d tɣawsa n useḍfer s allal-a ass-a. Mačči d asekyed n tmusni neɣ lḥala n uqerruy-ik, u agmuḍ awezlan ur d-yettmekti ara acḥal i tzemreḍ ad tiliḍ d amellal deg uraren.

Semṣader akked tarmitin-ik yezrin s yiwen n allal; amesli amaynut neɣ tiddi yemgaraden n usebter tettbeddil imḍanen.

Tisteqsiyin i d-yettuɣalen

D acu i d agmuḍ yelhan deg usekyed n useḍfer n yiswi?

Semṣader agmuḍ-ik d wid n tarmitin-ik s yiwen n allal: deg wurar am-a, agmuḍ yelhan d win i yettifafen win yezrin. Mi ara uraren aṭas n yimdanen, agmuḍ ad d-yesken daɣen amek i yemṣada useḍfer-ik amezwaru akked yisefka n yiseḍfaren imezwura n yimḍanen niḍen s yiwen n usekcam.

D acu-t useḍfer s bits deg tasint?

Aseḍfer yessemlil acḥal i d-uguren yellan deg yiswiwin d tɣawla n tesɣi. Ugur yettḥeseb s bits: log2(distance / width + 1) [2]. Bḍu-t ɣef wakud i d-yewwi yal usiti, sakin seɣti talemmast, ad d-tafeḍ bits deg tasint. Isekyaden n laboratuwar s umesli ttwafent s umata 4 ar 5 bits deg tasint s tarrayt i d-yessutur ugar n tɣawsa [3].

Yelha usemṣader gar umesli d usiṭṭef?

Ala, ur t-neggar ara. Afus d umesli ttemhazaren yemgaraden, ihi agmuḍ yettsemṣadar kan gar-ik d wid i yesseqdacen yiwen n usekcam am kečč.

Acuɣer iswiwin n umeddukel-iw kif-kif d winu?

Aseɣwen n ugmuḍ yettwabḍan yegber aẓar n wurar, ihi iswiwin ad banen kif-kif. Ayagi ad yerr cceɣl d awtem.

Asekyed n useḍfer n yiswi Helibrain d ilelli?

Ih. Urar d agmuḍ-ik ummid ilelliyen: war asmiḍen, war imayl, war tawsa n wugem.

Isekyaden icudden

Wali akk 43 n yisekyaden n uqerruy ilelliyen

Tebɣiḍ ad tɛerḍeḍ fell-as yal ass? Asnas n Helibrain (s tanglizt akka tura) yesɛa amtan ilelli d yamtanen s lexlaṣ.

Bder asebter-a d aɣbalu: Asekyed n useḍfer n yiswi. Helibrain. 2026. https://helibrain.com/kab/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 →

Iɣbula

  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

Amek nga tasna-agi: tira sɣur tarbaɛt n Helibrain, seg tezrawin i d-yettwabedren nnig, u yettwasenqed sɣur Robert(Taglizt) (anelmad n doctorate deg biophysique) ass n 4 Nunembeṛ 2026. Ad tt-nesseɣti mi ara bedlen yiɣbula.