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How attention is measured: reaction time, flanker and visual search

Updated October 16, 2026 · 4 min read

Short answer

Psychologists measure attention with short tasks: reaction time to a randomly timed signal for alertness, the flanker task for ignoring distraction, visual search for finding a target, go/no-go tasks for holding back. A phone adds roughly 50–100 ms of delay to every tap, and the amount differs between devices, so compare phone results with your own earlier results, not with lab norms.

§ 1The classic attention tasks

TaskWhat you doWhat it shows
Psychomotor vigilance task (PVT)Tap as soon as a signal appears at random momentsAlertness; very slow responses (lapses) increase with sleep loss
Sustained attention to response task (SART)Respond to every digit except one rare targetSustained attention and holding back an automatic response
Flanker taskReport the direction of the middle arrow among distracting arrowsIgnoring distraction: the extra time needed when the arrows disagree
Visual searchDecide whether a target is among other itemsHow efficiently attention selects: the cost of each extra item
Trail makingConnect circles in order, then alternate between two seriesSpeed, and switching between two sets
Corsi blocksRepeat the order in which blocks lit upSpatial working memory span

Each task isolates a small part of what we call attention. None of them measures attention as a whole, and none is a diagnosis on its own.

§ 2Reaction time and alertness

The psychomotor vigilance task is one of the simplest and most sensitive tasks: a signal appears after a random wait and you respond as fast as you can. The standard lab version lasts 10 minutes; a 3-minute version, the PVT-B, was developed by Basner and colleagues (2011). Researchers look at response speed and at lapses, very slow responses that become more frequent when people are tired.

Short versions are useful for tracking yourself over time, but they are not interchangeable with the full lab test: Antler and colleagues (2022) found that the 3-minute and 10-minute versions agreed poorly.

§ 3Flanker and visual search: costs, not raw speed

In the flanker task, introduced by Eriksen and Eriksen (1974), you report the direction of a central arrow and ignore the arrows around it. When the neighbours point the other way, you are slower; that difference is the flanker effect. In visual search, finding one orange bar among blue ones is fast however many bars there are, while finding a target defined by colour and orientation together takes longer with every extra item (Treisman and Gelade, 1980; Wolfe, 1998).

These tasks report differences: the cost of conflict, the cost per item. On phones, that turns out to be an advantage.

§ 4Why phones differ from labs

Labs use equipment with known timing. A phone adds delay between your touch and the moment the app registers it, and between the app drawing a stimulus and the screen showing it. Pronk and colleagues (2020) measured this with a robotic finger and a light sensor: on Android, reaction times were overestimated by about 70 ms on average. Across devices the extra delay is roughly 50–100 ms, and it differs from one phone to the next.

  • Absolute reaction times on a phone cannot be compared with lab norms or with results on other people’s phones.
  • The delay is fairly constant on one device, so your own results on the same phone can be compared over time.
  • Differences between conditions, such as the flanker effect, cancel most of the delay, and so do accuracy and memory span.

§ 5Why one result is not enough

Short tasks are noisy. Performance changes with sleep, time of day, practice and motivation. Difference scores are robust to device delay but vary more from one session to the next than raw speed does (Hedge, Powell and Sumner, 2018). Results become more meaningful when you repeat a test at a similar time of day and look at your trend and your usual range rather than at a single score.

§ 6A note on “brain training”

Practising an attention task makes you better at that task. A major review by Simons and colleagues (2016) found that brain-training programmes improve the trained tasks, sometimes closely related tasks, and show little evidence of improving everyday cognition. A rising trend on a phone test is a fact about the test, not proof that your attention in daily life has changed.

Questions and answers

Can a phone test diagnose attention problems?

No. Short phone tasks are not clinical tests and cannot diagnose ADHD or any other condition. If you are worried about your attention, talk to a qualified health professional.

What is a normal reaction time?

In lab studies, simple reaction times of rested young adults are often around 250 ms. On a phone, measured times are longer because of device delay, so compare with your own earlier results instead.

Why is my reaction time different on another phone?

Each phone adds its own delay, roughly 50–100 ms, from the touchscreen, the software and the display. Compare results only on the same device.

Does practising these tests improve attention?

It improves your performance on the tests themselves. Evidence that brain-training games improve attention in everyday life is weak.

Sources

Studies are cited with a DOI link. Numbers in this article come from these sources.

  1. Basner M, Dinges DF (2011). Maximizing sensitivity of the psychomotor vigilance test (PVT) to sleep loss. Sleep 34(5):581–591. doi:10.1093/sleep/34.5.581
  2. Basner M, Mollicone D, Dinges DF (2011). Validity and sensitivity of a brief psychomotor vigilance test (PVT-B) to total and partial sleep deprivation. Acta Astronautica 69:949–959. doi:10.1016/j.actaastro.2011.07.015
  3. Antler CA, Yamazaki EM, Casale CE, et al. (2022). The 3-minute psychomotor vigilance test demonstrates inadequate convergent validity relative to the 10-minute psychomotor vigilance test across sleep loss and recovery. Frontiers in Neuroscience 16:815697. doi:10.3389/fnins.2022.815697
  4. Robertson IH, Manly T, Andrade J, Baddeley BT, Yiend J (1997). “Oops!”: Performance correlates of everyday attentional failures in traumatic brain injured and normal subjects. Neuropsychologia 35(6):747–758. doi:10.1016/S0028-3932(97)00015-8
  5. Eriksen BA, Eriksen CW (1974). Effects of noise letters upon the identification of a target letter in a nonsearch task. Perception & Psychophysics 16:143–149. doi:10.3758/BF03203267
  6. Treisman AM, Gelade G (1980). A feature-integration theory of attention. Cognitive Psychology 12(1):97–136. doi:10.1016/0010-0285(80)90005-5
  7. Wolfe JM (1998). What can 1 million trials tell us about visual search? Psychological Science 9(1):33–39. doi:10.1111/1467-9280.00006
  8. Pronk T, Wiers RW, Molenkamp B, Murre J (2020). Mental chronometry in the pocket? Timing accuracy of web applications on touchscreen and keyboard devices. Behavior Research Methods 52:1371–1382. doi:10.3758/s13428-019-01321-2
  9. Hedge C, Powell G, Sumner P (2018). The reliability paradox: Why robust cognitive tasks do not produce reliable individual differences. Behavior Research Methods 50:1166–1186. doi:10.3758/s13428-017-0935-1
  10. Simons DJ, Boot WR, Charness N, Gathercole SE, Chabris CF, Hambrick DZ, Stine-Morrow EAL (2016). Do “brain-training” programs work? Psychological Science in the Public Interest 17(3):103–186. doi:10.1177/1529100616661983