Aim trainin

Hit 30 targets as fast an as accurately as ye can, an see hou yer aim follaes Fitts's law. Free, nae sign-up.

Bi the Helibrain teamChecked bi Robert(Inglis), PhD candidate in biophysicsPit oot Last checked

Hou tae read yer score

  • Average time per target: the hale run dividit by the nummer o targets, in milliseconds (ms). Lower is better. Missed clicks cost time, sae they shaw up here an aw.
  • Accuracy: hits dividit by aw yer clicks in the play area.
  • Fastest hit: yer quickest single target.
  • Throughput: speed an difficulty in ae nummer, in bits per second (see below). Higher is better.
  • The chart: ilka dot is ae target, its time set against hou hard it wis. The dashed line is yer ain Fitts's-law line.

Whit is Fitts's law?

Fitts's law says that the faurer awa an the smawer a target is, the langer it taks tae hit. Paul Fitts shawed in 1954 that the time grows in a straight line wi a target's "index o difficulty", measurt in bits [1]. The day it's uisually scrieved as log2(distance / width + 1) [2]. Designers uise it tae mak buttons easy tae hit.

Quick facts

  • Whit it measures: hou fast an accurately ye point at targets: seein whaur a target is, muivin thare an stoppin on it.
  • Throughput wi a moose: lab studies uisin the staundart method find aboot 3.7 tae 4.9 bits per second [3].
  • Throughput wi a finger: in ae phone study, 16 fowk tappin targets reached aboot 7 bits per second [4]. Oor nummers uise a simpler method (below), sae they cannae be compared directly.
  • Sma targets on touch screens: a finger's touch lands aboot 1 tae 1.5 mm aff by itsel; targets smawer than aboot 7 mm get mony misses [5].
  • Moose an touch kept apairt: results are compared anerly within the same kind o input.

Hou the aim trainin warks

  1. Press Start in the middle o the play area. The clock sterts.
  2. Hit the targets. 30 round targets appear ane at a time, in three sizes, ilkane weel awa fae the yin afore it. A click that misses counts against yer accuracy; the target bides till ye hit it.
  3. See yer result, wi yer Fitts's-law line.

Gin ye share yer score, yer freend gets the very same targets.

We compute throughput fae ilk target's distance an size as shawn, athoot the corrections the lab staundart adds for whaur clicks land [3]. That's why we say tae compare wi yer ain runs.

Whit affects yer aim?

  • Distance an size. Faur, sma targets tak langest: that's Fitts's law [1, 2].
  • The device. A moose, a touchpad an a finger gie different results. In lab studies the touchpad wis muckle slower than the moose [3].
  • Speed or care. Hurrying brings mair misses, an ilk miss costs time. The best scores come fae a steady pace.
  • Age. In ae study, adults made fewer errors than bairns aged 12 tae 14 an were faster than fowk aged 61 tae 69 [6].
  • Practice. Times fa' ower the first few runs as ye get uised tae the gemme.

Whit this test can an cannae tell ye

The aim trainin measures pointin speed an accuracy on this device the day. It's no a test o intelligence or yer brain's health, an a short score disnae predict hou guid ye wad be at gemmes.

Compare wi yer ain earlier runs on the same device; a new moose or a different screen size changes the nummers.

Aften speirt questions

Whit is a guid aim trainin score?

Compare wi yer ain runs on the same device: for a gemme like this, a guid score is yin that beats yer last yin. Whan eneuch fowk hae played, the result shows an aw hou yer first run compares wi ither players' first runs uisin the same input.

Whit is throughput in bits per second?

Throughput combines hou hard the targets were an hou fast ye hit them. Difficulty is coontit in bits: log2(distance / width + 1) [2]. Divide by the time ilk hit tuik an tak the average, an ye get bits per second. Lab studies wi a moose find aboot 4 tae 5 bits per second wi a stricter method [3].

Is it fair tae compare moose an touch?

Naw, an we dinnae. A finger an a moose muive different, sae the result anerly compares ye wi ithers that uised the same input.

Whit for are ma freend's targets the same as mine?

A shared score link cairries the run's seed, sae the targets come oot the same. That maks a challenge fair.

Is the Helibrain aim trainin free?

Aye. The gemme an yer hale result are free: nae sign-up, nae email, nae payment.

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Want tae wark on this ilka day? The Helibrain app (in Inglis for noo) has a free plan an paid plans.

Cite this page: Aim trainin. Helibrain. 2026. https://helibrain.com/sco/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 →

Sources

  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

How we made this page: scrieved bi the Helibrain team fae the studies listed abuin, an checked bi Robert(Inglis) (PhD candidate in biophysics) on 11/4/2026. We update it when the soorces chynges.