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Visual memory

Face-Name & Letter Memory

Three "faces" appear with names. After a brief delay, you're shown one face and asked: was this in the original set?

What makes this one different

Most "face memory" apps ask you to recall names from scratch. That's a recognition-failure trap — most people forget names even when they recognize faces. We use same/different judgments, which are more sensitive to underlying visual memory and less contaminated by name retrieval.

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Results

Hits
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False alarms
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Sensitivity (d')
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History

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What problem does it solve?

Face memory is a well-studied but quirky cognitive ability. We have specialized neural machinery for face processing (the fusiform face area), but it's not the same as general visual memory. The combination of face + name is harder than either alone.

Who is this for

How to interpret your results

d' (sensitivity) above 1.5 is good. Above 2.0 is strong. Below 0.5 suggests your recognition signal is weak.

False alarms are informative too. High FA + low hits = guessing.

Limitations

  • We use abstract face-like patterns (geometric arrangements) rather than real faces. The principle transfers but absolute scores won't compare to face-specific tests.
  • The "names" we attach are common first names. If you don't read them out loud, encoding is weaker.

FAQ

Why don't you ask for the name?

Because most people forget the name even when they recognize the face. Same/different is more sensitive to the underlying visual memory and less contaminated by name retrieval failure.

What if I score much worse than expected?

Face memory varies a lot. If you're consistently below d'=0.5 across multiple sessions, you may want to consult a neuropsychologist — prosopagnosia is more common than people realize.

How do I use Face-Name & Letter Memory step by step without mistakes?Follow the order given in the usage section: Recognize abstract face-like patterns after a delay. Tests associative visual memory using same/different rather than recall — avoids the recognition-failure trap. The step-by-step part matters less than the unit check that sits inside it. Confirm every unit matches the thing you are actually trying to measure before you press calculate - that single check catches more wrong answers than any other habit, and it costs about ten seconds.
What are the common mistakes when using Face-Name & Letter Memory?Most common mistakes come down to four habits: entering 20 when the field expects 0.2 because the field is a percentage; leaving a field blank and accepting the default without checking what it stands for; changing one input and reading a result that was calculated before the change; and quoting the output as an exact figure when the page describes it as a reference estimate. Press calculate again after any edit, and treat the number as a reference point rather than a final answer.
How do I read the result from Face-Name & Letter Memory?Read the final figure first, then come back to this section for the conditions behind it: d' (sensitivity) above 1.5 is good. Above 2.0 is strong. Below 0.5 suggests your recognition signal is weak. False alarms are informative too. High FA + low hits = guessing. Keep two things apart: the number itself, which comes from the values you typed, and the assumptions it depends on, which decide whether that number is meaningful. The page sets out what a higher or lower result means for your case, so check that direction as well as the magnitude.
Can I act on the Face-Name & Letter Memory result directly?Treat it as one reference sheet before you decide, rather than as the answer itself: We use abstract face-like patterns (geometric arrangements) rather than real faces. The principle transfers but absolute scores won't compare to face-specific tests. The "names" we attach are common first names. If you don't read them out loud, encoding is wea The output describes a magnitude under the conditions you entered. It does not include what it actually costs to act, what might change while you act, or how the other side behaves. Before you commit, compare the result against reality and note which assumptions do not hold where you are.