ImplicitifyAI

Sample report — illustrative responses, not a real result

The scores and narrative below are produced by the real ImplicitifyAI scoring engine from a fixed set of example responses. Nothing here is tied to a real person, and nothing is stored.

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Cognitive Task Report

Lexical Decision — Semantic Priming (SPP)

Completed 10 June 2026

Semantic priming: +56 ms at the 200 ms SOA, +23 ms at the 1200 ms SOA

Across 19 scored trials over two SOA blocks (200 and 1200 ms), Overall response speed averaged 658 ms — faster than about 52% of the SPP sample. Accuracy was 95% (30th percentile). At the 200 ms SOA related primes sped target recognition by 56 ms. At the 1200 ms SOA related primes sped target recognition by 23 ms. Positive priming means a related prime sped recognition of the target — the expected direction. Every percentile is your position within the Semantic Priming Project (Hutchison et al., 2013) per-subject lexical-decision sample (N = 512); a single short session is far noisier than that reference, so treat your own numbers as indicative.

What This Task Measures

The lexical decision task asks you to decide, as quickly as you can, whether each letter string is a real word or a non-word. Although it looks like a simple word-recognition probe, performance is gated by attentional control over lexical processing pathways: how well attention weights the relevant links between a word's spelling and its meaning, suppresses irrelevant ones, and feeds a word/non-word decision stage (Balota, Paul & Spieler, 1999). The two-block Semantic Priming Project design separates the part of priming that depends on attention from the part that does not. Associative priming (Block 1) and the short 200 ms prime interval reflect largely automatic spreading activation, which runs off quickly with little attentional involvement. The long 1200 ms interval (Block 2) leaves time for slower, strategic processing, so the long-interval priming component is the attention-dependent, controlled part of the effect (Neely, 1977).

Performance Indices

These figures describe this respondent's own within-session performance — reaction-time differences and accuracy across conditions. Where a published reference distribution exists, a percentile within that sample is shown alongside the raw value; otherwise only the raw effect is reported.

Scored trials (practice excluded)19
Overall accuracy95% (30th percentile)
Mean RT (correct, trimmed)658 ms (faster than 52%)
Related target — RT (200 ms SOA)608 ms
Unrelated target — RT (200 ms SOA)664 ms
Priming effect (200 ms SOA)+56 ms (96th percentile)
Related target — RT (1200 ms SOA)635 ms
Unrelated target — RT (1200 ms SOA)658 ms
Priming effect (1200 ms SOA)+23 ms (66th percentile)
SPP reference sampleHutchison et al. (2013) — 512 subjects
Word targets — accuracy100%
Nonword targets — accuracy80%

Method & Limitations

Priming is reported as a within-subject reaction-time difference (mean RT to unrelated targets minus mean RT to related targets), computed from your correct word responses between 200–3000 ms. It is not norm-referenced: there is no percentile and no T-score, because lexical-decision latencies depend heavily on the display, keyboard, and browser timing used here. The published Semantic Priming Project magnitudes are shown as a standardized reference (a unitless z value) for context only and are not directly comparable to your milliseconds. This is a research-grade index of attentional-control processes — not a diagnostic test for ADHD, dyslexia, or any other condition.

References

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