[ PICTOGRAM CASE HISTORY ]

Material Symbols Auto Detect Voice Icon (Outlined). Usable with support.

Visible referent: auto detect voice. Intended message: The icon must communicate Auto Detect Voice in a digital interface.. The report separates observed asset evidence, submitted context, and public evidence signals.

0.67

PCS

0.39

CLL

0.48

NTR

[ FEATURED PICTOGRAM ]

Pictogram contrast preview
Paper
Ink

pictoclarity / material-symbols-auto-detect-voice-outlined

Output - Material Symbols Auto Detect Voice Icon (Outlined)

Assessing the communicative effectiveness of the Auto Detect Voice icon

This reviewed catalog report estimates clarity for Auto Detect Voice in default interface contexts. Scores are screening estimates and do not replace user testing.

Mobile appWeb appDesktop app

0.67

PCS

PictoClarity Score

0.39

CLL

Convention Learning Load

0.48

NTR

Neurocognitive Transfer Risk

Read Evidence

[ HOW THE CASE READS ]

From Input To Public Evidence.

The application stores structured evidence. The public page turns it into a readable pictogram case history.

01

Submitted Context

Framework output for the Material Symbols Auto Detect Voice icon in the outlined style.

02

Primary Finding

Primary referent: auto detect voice.

03

Metric Reading

Implied function: The icon must communicate Auto Detect Voice in a digital interface..

04

Public Recommendation

Conduct representative user testing across diverse user groups to validate semantic transparency and functional clarity before publication.

[ EVIDENCE SCREENING ]

What The Estimate Surfaces.

Semantic Transparency Score

Input

Expected

Estimated

0.61

Confusion Risk Index

Input

Possible

Estimated

0.50

Readability Test Score

Input

Visual

Estimated

0.77

PictoClarity Score

Input

Estimated

Estimated

0.67

Usable with support 0.67

The pictogram works, but labels or testing remain important. The estimate applies to this pictogram, this meaning, and this public context.

Last Reviewed

Jun 24, 2026

[ SCORE SCALE ]

The Public Verdict Has A Range.

The level explains the 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

Current report

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.

[ CONVERGENCE PROFILE ]

Where Meaning Converges.

The profile compares visual evidence, semantic extraction, cultural recognition, time, and cognitive context. It describes estimated convergence, not universal validity.

Convergent meaning profile

The radar shows where meaning converges. It does not certify universal validity.

Area

0.37

Balance

0.86

Perceptual

0.76

Semantic

0.61

Functional

0.64

Cultural

0.53

Temporal

0.61

Neurocognitive

0.59

Context Independence

0.64

Collective Resonance

0.53

Weakest Axis

Cultural Convergence

How strongly recognition holds across cultural evidence and assumptions.

Strongest Axis

Perceptual Convergence

How strongly visual form survives size, blur, contrast, and detail loss.

Convergent meaning profile
AxisScoreDescription
Perceptual Convergence0.76How strongly visual form survives size, blur, contrast, and detail loss.
Semantic Convergence0.61How strongly extracted meaning converges on one interpretation.
Functional Convergence0.64How strongly the symbol maps to the intended function.
Cultural Convergence0.53How strongly recognition holds across cultural evidence and assumptions.
Temporal Convergence0.61How strongly meaning persists over time without semantic decay.
Neurocognitive Convergence0.59How strongly the symbol follows AAC pictogram reading: transparent referent, concrete action, low convention load, and support.
Context Independence0.64How strongly meaning survives without external labels or placement cues.
Collective Resonance0.53How strongly public evidence supports shared recognition and persistence.

Evidence Notes.

8 Findings Published

Evidence

Primary referent: auto detect voice.

Evidence

Implied function: The icon must communicate Auto Detect Voice in a digital interface..

Evidence

Metaphor type: functional.

Evidence

The icon's primary referent and functional meaning clearly communicate 'Auto Detect Voice' for digital interfaces, aligning well with the expected message.

Evidence

Visual metrics indicate strong perceptual convergence (0.76), showing the icon maintains clarity under size, blur, and contrast variations.

Evidence

Semantic convergence (0.61) and functional convergence (0.64) scores reflect moderate clarity in meaning and function mapping, but some ambiguity remains.

Evidence

Cultural convergence is the weakest axis (0.53), indicating limited or inconsistent cultural recognition and assumptions across diverse user groups.

Evidence

Temporal convergence (0.61) suggests the icon's meaning persists reasonably well over time without significant semantic decay.

[ TRANSFER / METRIC CHART ]

Public evidence trend

The chart shows public evidence buckets by evidence year. Cohort breakpoints appear only when an aging referent is active.

Public evidence trend

Evidence year: 2026

Evaluation

Reference point.

X axis: Evidence year

Public evidence trend
Evidence yearSemantic TransparencyCultural Evidence
19960.750.74
19970.750.74
19980.750.74
19990.770.74
20000.750.75
20010.750.74
20020.750.75
20030.750.75
20040.760.75
20050.770.75
20060.760.75
20070.770.75
20080.760.75
20090.760.75
20100.760.75
20110.770.75
20120.770.75
20130.770.75
20140.760.75
20150.760.75
20160.770.76
20170.770.76
20180.780.76
20190.780.76
20200.770.75
20210.780.76
20220.780.75
20230.620.60
20240.620.60
20250.630.61
20260.600.60
Cohort transfer is inactive for this published report. The chart above uses evidence-year or metric data instead.

asset source

Material Symbols auto_detect_voice SVG

Material Symbols by Google

Unofficial clarity analysis. PictoClarity is not affiliated with, endorsed by, or sponsored by Google. Material Symbols are provided by Google under their published license.

Open source

public evidence

Iconic Prosody in Story Reading

OpenAlex / 2014-2014

Evidence query: microphone icon comprehension.

Open source

public evidence

The English Lexicon Project

OpenAlex / 2007-2007

Evidence query: microphone icon comprehension.

Open source

public evidence

Evaluation of a Remote Microphone System with Tri-Microphone Beamformer

OpenAlex / 2020-2020

Evidence query: microphone icon comprehension.

Open source

public evidence

Voice Activity Detection. Fundamentals and Speech Recognition System Robustness

OpenAlex / 2007-2007

Evidence query: voice detection recognition.

Open source

public evidence

A study of voice activity detection techniques for NIST speaker recognition evaluations

OpenAlex / 2013-2013

Evidence query: voice detection recognition.

Open source

public evidence

Detection of non-joint areas tiny strain and anti-interference voice recognition by micro-cracked metal thin film

OpenAlex / 2017-2017

Evidence query: voice detection recognition.

Open source

public evidence

Silent Speech Interfaces for Speech Restoration: A Review

OpenAlex / 2020-2020

Evidence query: auto voice detect pictogram meaning.

Open source

historical evidence

Google Books Ngram annual buckets: microphone

Google Books Ngram / 1996-2026

Annual extraction returned 21023288 records across 27 active years.

Open source

historical evidence

OpenAlex annual buckets: microphone icon comprehension

OpenAlex / 1996-2026

Annual extraction returned 2181 records across 31 active years.

Open source

historical evidence

Google Books Ngram annual buckets: voice detection

Google Books Ngram / 1996-2026

Annual extraction returned 10195649 records across 27 active years.

Open source

historical evidence

OpenAlex annual buckets: voice detection recognition

OpenAlex / 1996-2026

Annual extraction returned 154188 records across 31 active years.

Open source

historical evidence

Google Books Ngram annual buckets: auto detect voice

Google Books Ngram / 1996-2026

Annual extraction returned 0 records across 0 active years.

Open source

historical evidence

OpenAlex annual buckets: auto detect voice

OpenAlex / 1996-2026

Annual extraction returned 39184 records across 31 active years.

Open source

[ TECHNICAL SCORECARD ]

The Metrics Behind The Case.

PCS

0.67

PictoClarity Score

STS

0.61

Semantic Transparency Score

CRI

0.50

Confusion Risk Index

VRS

0.75

Visual Readability Score

PCH

1.00

Perceptual Cohesion

RTS

0.77

Readability Test Score

SRS

0.66

Scale Robustness Score

BRS

0.84

Blur Robustness Score

TCS

0.78

Target Contrast Stability

SDS

0.74

Stroke Durability Score

SFS

0.73

Silhouette Fidelity Score

NDS

1.00

Negative Detail Score

BBS

0.23

Bounding Box Balance

CPS

1.00

Compression Preservation

PDS

1.00

Pixel Density Suitability

ORS

0.72

Orientation Robustness

CAS

0.60

Color Accessibility Score

RRS

0.61

Referent Recognition Score

FAS

0.67

Functional Association Score

SOS

0.22

Semantic Obsolescence Score

CSS

0.51

Cultural Saturation Score

ERS

0.49

Evidence Reliability Score

MTS

0.47

Metaphor Transfer Score

TDS

0.34

Temporal Decay Score

GDS

0.19

Generational Divide Score

CLL

0.39

Convention Learning Load

NTR

0.48

Neurocognitive Transfer Risk

SPS

0.51

Symbol Persistence Score

OBS

0.19

Obsolescence Signal

CTS

0.00

Cohort Transfer Slope

[ RECOMMENDED NEXT ACTIONS ]

What Improves This Pictogram.

Action

Conduct representative user testing across diverse user groups to validate semantic transparency and functional clarity before publication.

Action

Maintain visible text labels or tooltips alongside the icon until user testing confirms that the icon alone reliably communicates 'Auto Detect Voice'.

Action

Enhance surrounding context or placement cues in interfaces to reduce confusion with similar icons, especially for users with varying familiarity and accessibility needs.

Action

Consider iterative design improvements to increase cultural recognition and reduce reliance on learned conventions, improving overall cultural convergence.

Action

Monitor evolving user comprehension and cultural trends to address potential semantic obsolescence and generational divides over time.

[ Private testing / Admin invite ]

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Access stays invite-only during private testing.

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