[ Framework ]

From symbol to transfer evidence.

PictoClarity estimates whether a pictogram transfers meaning across context, culture, cohort, and cognitive style.

View reports PCS metric

[ Metric set ]

Registry entries

Named metrics

Convergence axes

PCS layers

PCSSTSPCHCRIVRSRTSSRSBRSTCS

[ Validation status ]

What this framework claims.

PictoClarity screens symbol clarity before user research. It names risk, evidence, and limits. AAC-style transfer is treated as a baseline for every symbolic communication artifact, not as an optional special case.

Screening estimate

PCS is an evidence-based estimate, not an observed comprehension rate.

Human testing

Participant evidence remains the primary validation layer.

Public corpus

Published cases show report format. They do not validate the model.

Private calibration

Public formulas describe structure. Private calibration stays protected.

[ The process ]

A pictogram becomes a report.

The framework separates visibility, meaning, convention, evidence reliability, and transfer risk.

Input

Brief the symbol

Task, user group, context, and failure risk define the test.

Fixed

Read the form

Meaning, shape, confusion, size, and contrast are checked first.

Context

Test the setting

The same pictogram is judged against task and use conditions.

Culture

Read shared meaning

Recognition, convention, drift, cohort, and public memory shape the score.

Converge

Map the profile

Eight axes show where meaning aligns and where it fractures.

Report

Name the risk

The output explains score, breakeven, limits, findings, and fixes.

[ Phase by phase ]

Every step, explained.

Each phase names checks and output before the report reaches a public surface.

Phase 01

Input definition

Before scoring

Key checks

Identify the intended message.
State the task and setting.
Describe the user group.
Name the failure risk.
Record labels and support cues.

Deliverable

A testable pictogram brief.

Phase 02

Fixed evidence

STS / PCH / CRI / VRS / visual robustness / CAS

Key checks

Measure semantic transparency.
Measure perceptual cohesion.
Detect likely confusion.
Summarize visual readability.
Test small-size readability.
Test reduced-scale robustness.
Test blur and distance robustness.
Measure silhouette and stroke survival.
Measure compression and pixel density.
Measure canvas and orientation robustness.
Check contrast and color safety.

Deliverable

A base clarity score independent from context.

Phase 03

Contextual evidence

CRS / ALS

Key checks

Compare symbol and task.
Test whether labels are required.
Review placement and surrounding cues.
Flag misuse in real workflows.
Separate habit from understanding.

Deliverable

A context-specific interpretation risk.

Phase 04

Cultural evidence

RRS / FAS / SOS / CSS / ERS / MTS / TDS / GDS / CLL / NTR / SPS / OBS / CBB / CTS

Key checks

Extract the visible object and probable action.
Measure whether the object remains culturally recognized.
Limit confidence when evidence is sparse.
Separate functional meaning from brand-like convention.
Detect semantic obsolescence and generational drift.
Measure learned-convention load across cohorts.
Compute cohort breakeven when the source object is obsolete.
Measure neurocognitive object-to-action transfer risk.
Review web, trend, and scholarly signals when available.

Deliverable

A culture and time reading for the pictogram.

Phase 05

Adaptive evidence

QUT / CNS / DRS / TABS / SES / SPI

Key checks

Record user interpretations.
Assess cultural robustness.
Measure interpretation spread.
Detect obsolete metaphors.
Track meaning over time.

Deliverable

A score adjusted by people, culture, and time.

Phase 06

Convergence profile

Area / balance / weakest axis / strongest axis

Key checks

Group evidence into eight convergence axes.
Measure the radar area covered by aligned meaning.
Measure balance across the axes.
Name the strongest and weakest interpretation zones.
Keep convergence separate from universal-design claims.

Deliverable

A radar profile that explains where meaning converges.

[ Evidence lanes ]

The score combines form, context, and evidence.

Each lane describes a different kind of evidence. The final report shows how those lanes converge.

[01]

Fixed evidence

Visual clarity, scale, blur, contrast, and detail survival.

[02]

Contextual evidence

Task fit, support cues, labels, and failure risk.

[03]

Cultural evidence

Recognition, convention, cohort transfer, and source quality.

[ Why it works ]

Clarity without guesswork.

The score separates visual clarity, semantic meaning, learned convention, and AAC baseline transfer.

Meaning is separated from visibility

A visible pictogram can still communicate the wrong action.

Context is part of the score

A symbol is judged inside the task where users meet it.

Convention is not treated as proof

Familiarity can hide learned-convention risk for years.

Transfer risk has weight

Object recognition must become action understanding.

The report names limits

Every output states assumptions, risk, and interpretation boundaries.

The method stays testable

Metrics are named, formula structure is inspectable, and results improve with evidence.

[ Metric toolset ]

Every metric has a job.

The framework names each evidence type so reviewers can inspect how the score was produced.

Fixed tests

Visual robustness

Contextual tests

Cultural tests

Adaptive tests

QUT
CNS
DRS
TABS
SES
SPI

Convergence axes

Perceptual
Semantic
Functional
Cultural
Temporal
Neurocognitive
Context independence
Collective resonance

Output

PCS
Fixed
Contextual
Cultural
Adaptive

Report inputs

Context
Task
Users
Risk

Review

Assumptions
Evidence
Formula structure
Next test

[ Core metrics ]

The vocabulary of the report.

Public metric pages expand the foundational concepts. Supporting metrics stay visible here for method review.

PCS

PictoClarity Score

Combines fixed, contextual, cultural, and adaptive evidence.

Read metric

STS

Semantic Transparency Score

Measures direct meaning between pictogram and intended message.

Read metric

PCH

Perceptual Cohesion

Measures visual consistency and form cohesion.

CRI

Confusion Risk Index

Measures likely misreadings and neighboring interpretations.

VRS

Visual Readability Score

Summarizes deterministic visual evidence.

RTS

Readability Test Score

Measures small-size legibility.

SRS

Scale Robustness Score

Measures survival at reduced display sizes.

BRS

Blur Robustness Score

Measures distance and soft-focus survival.

TCS

Target Contrast Stability

Measures contrast stability after visual stress.

SDS

Stroke Durability Score

Measures thin-stroke survival across size and contrast changes.

SFS

Silhouette Fidelity Score

Measures outline stability.

NDS

Negative Detail Score

Measures negative-space control.

BBS

Bounding Box Balance Score

Measures canvas use and pictogram balance.

CPS

Compression Preservation Score

Measures export and compression survival.

PDS

Pixel Density Suitability

Measures raster fitness for expected display conditions.

ORS

Orientation Robustness Score

Measures off-axis and orientation survival.

CAS

Color Accessibility Score

Measures contrast and color safety.

CRS

Contextual Relevance Score

Measures icon-task alignment.

ALS

Action Label Suggestion

Signals when text support is needed.

QUT

Qualitative Usability Testing

Records real user interpretations when available.

CNS

Cultural Neutrality Score

Measures variance across cultures.

DRS

Diversity Robustness Score

Measures interpretation spread.

TABS

Temporal Attenuation of Base Semantics

Measures obsolete visual metaphors.

SES

Semantic Expandability Score

Measures mapping to AAC primitives.

SPI

Semantic Persistence Index

Measures meaning persistence over time.

RRS

Referent Recognition Score

Measures whether the visible object is still recognized.

FAS

Functional Association Score

Measures whether recognition maps to the intended action.

SOS

Semantic Obsolescence Score

Measures loss of functional meaning over time.

CSS

Cultural Saturation Score

Measures web, trend, and reference evidence.

ERS

Evidence Reliability Score

Limits confidence when evidence is sparse.

MTS

Metaphor Transfer Score

Measures how well an old object works as a new action.

TDS

Temporal Decay Score

Measures generational and historical meaning drift.

GDS

Generational Divide Score

Measures cohort variance in likely comprehension.

CLL

Convention Learning Load

Measures dependence on learned convention.

NTR

Neurocognitive Transfer Risk

Measures AAC object-to-action fragility.

Read metric

SPS

Symbol Persistence Score

Measures durable recognition across time.

OBS

Obsolescence Signal

Measures whether the source object lost direct functional use.

CBB

Cohort Breakeven Birth Year

Marks where learned convention outweighs direct familiarity.

Read metric

CTS

Cohort Transfer Slope

Measures PCS change across modeled birth cohorts.

Read metric

[ Score scale ]

The score names the risk level.

The level describes one estimated context. It is not a certification.

0.80-1.00

Strong clarity

The pictogram communicates well in this context.

Use it, then keep testing with real users.

0.65-0.79

Usable with support

The pictogram works with labels or context.

Pair it with text and monitor interpretation.

0.50-0.64

Needs intervention

The pictogram carries meaningful clarity risk.

Improve the symbol before relying on it.

0.00-0.49

Not reliable

The pictogram does not communicate enough alone.

Replace it or add strong alternative support.

[ Technical appendix ]

Formula structure for review.

These public formulas describe structure, not private calibration. For every report, weak AAC transfer limits the score before context-specific support can lift it. Public and safety contexts apply the strictest cap.

STS

STS = transfer(visible_form, intended_message, context)

PCH

PCH = 1 - average_distance(features)

CRI

CRI = sum(distance(icon, neighbors))

VRS

VRS = readability(features, stress)

RTS

RTS = legibility(size, blur, contrast)

SRS

SRS = (R16 + R24 + R32) / 3

BRS

BRS = edge_survival(sigma) + contrast_survival(sigma)

TCS

TCS = stability(contrast, target)

SDS

SDS = durability(stroke, scale, contrast)

SFS

SFS = fidelity(silhouette, bounds, complexity)

NDS

NDS = 1 - noise(negative_detail)

BBS

BBS = balance(bounds, canvas)

CPS

CPS = preservation(compression, detail)

PDS

PDS = density(px, min_target)

ORS

ORS = robustness(orientation, silhouette)

CAS

CAS = contrast_wcag(cvd)

CRS

CRS = cos(task, icon)

ALS

ALS = 1 when CRS < tau_c and STS < tau_s, otherwise 0

RRS

RRS = recognition(object, time, culture)

FAS

FAS = p(action | object, context)

SOS

SOS = 1 - function_retention(object, time)

CSS

CSS = trend + scholar + web_signal

ERS

ERS = reliability(volume, span, citations, recency)

MTS

MTS = transfer(source_object, target_action)

TDS

TDS = drift(generation, time)

GDS

GDS = variance(comprehension | cohort)

CLL

CLL = learned_convention(visible_form, action, cohort, context_inference)

NTR

NTR = aac_risk(visible_form, intended_action, context_inference, support)

SPS

SPS = persistence(recognition, meaning, time, CLL)

OBS

OBS = obsolescence(object, evidence, metaphor)

CBB

CBB = min birth year where CLL_y >= DOF_y

CTS

CTS = abs(PCS_oldest - PCS_youngest) / n

QUT

QUT = average(user_score_i)

CNS

CNS = sigma(cultural_interpretability)

DRS

DRS = diversity(culture, spread)

TABS

TABS = 1 - frequency(time) / max(frequency)

SES

SES = composability(ontology_primitives)

SPI

SPI(t) = a(t) PFORM(t) + b(t) PCONVENTION(t) + SSB(t)

CONV AREA

area_conv = polygon_area(a_1 ... a_n)

CONV BAL

balance_conv = 1 - 2 sigma(a_1 ... a_n)

PCS

PCS = combine(fixed, context, culture, adaptive)

[ Limits ]

The score is an estimate, not a certificate.

Readability is not clarity

High readability does not guarantee semantic clarity.

Human testing stays primary

Participant evidence remains necessary for validation.

Scores are scoped

Each score applies to one symbol, task, setting, and birth-cohort model.

No certification claim

Reports avoid clinical or regulatory certification claims.

Calibration stays private

This page explains score reading, not every calculation detail.

[ Start testing ]

Screen a pictogram.

Request private testing access and use PictoClarity to inspect symbol meaning before it fails users.

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