A clinician-facing view of what FluentPlay measures. Per session: Pressure, Anxiety, Ground, and the resulting Disfluency risk — tracked across treatment, broken out by phoneme, and rolled up into a six-axis clinical outcome profile.
The math is one equation: D = P × A × (1 − G·λ). The first five slides walk through what each term means and how to read the dashboard. Slide 6 is the dashboard itself.
FluentPlay reduces every fluency moment to four numbers. Pressure (P) is the demand the speech act puts on the system. Anxiety (A) is the affective cost that demand carries. Ground (G) is the speaker's stability — the trained capacity to absorb pressure and anxiety without breaking. λ is a coupling constant that sets how much Ground actually buffers — currently 0.6 in the production model.
If either Pressure or Anxiety is zero, disfluency goes to zero. Both have to be non-trivial for a disfluency to occur. A speaker reading silently has no Pressure. A speaker reciting an over-rehearsed phrase has no Anxiety. Disfluency lives in the multiplication, not in either term alone.
Ground does not eliminate Pressure or Anxiety. It absorbs their product. As Ground rises through practice, the same P and A combination produces a smaller D. The treatment goal is not to lower P or A — it is to raise G.
Per session, the four values P, A, G, D are computed from in-game performance and physiological signal. The trajectory across sessions is the clinical outcome — falling P and A, rising G, falling D.
Every PAD value sits in [0, 1]. The dashboard shows them as decimals to three places. Each component captures a different layer of what's happening when a speaker tries to produce a phrase.
A single disfluency-rate number tells you that something went wrong. Splitting it into P, A, G tells you why — and which lever to pull. A speaker with high P and low G needs Ground work. A speaker with high A and modest P needs anxiety reduction. A speaker with low G needs both.
Across treatment, the expected pattern is: P falls (the speech act becomes less demanding), A falls (less affective load), G rises (capacity grows), and D falls as a consequence. The dashboard's PAD Components Over Time chart shows all four traces on one plot.
P, A, D: lower is better. G: higher is better. The radar chart on the Clinical Profile tab inverts P and A (showing "Pressure Reduction" and "Anxiety Reduction") so all six axes point the same direction.
The aggregate PAD score hides which sounds the speaker is actually struggling with. The Phoneme Map tab breaks the signal down by individual phoneme — /s/, /r/, /k/, and so on — showing baseline performance against current performance for each.
For each phoneme, two numbers: baseline, captured during the speaker's first sessions, and current, the running average from the most recent N sessions. The dashboard shows both as percentages on side-by-side bars, with the Δ in points.
Phonemes are grouped by manner of articulation: Stops (/k/, /g/, /b/, /d/), Fricatives (/s/, /θ/, /ʃ/, /f/, /v/), Liquids (/r/, /l/), Affricates (/tʃ/). Patterns within a group often reveal articulation strategies; patterns across groups reveal more general control issues.
Two speakers with the same overall fluency score can have very different phoneme profiles. Treatment plans should target the specific phonemes showing the smallest Δ, not the speaker's overall score.
The Clinical Profile tab rolls everything up into a single radar plot — six axes, each in [0, 1], all oriented so that higher is better. The shape of the polygon is the speaker's clinical signature at a glance.
A round, evenly-distributed shape near the outer ring = strong overall response. A spiky shape = uneven progress, with treatment gaps the dashboard surfaces by name. A small shape = early in treatment or limited engagement.
PAD Clinical Dashboard is a single-subject visualization built on the FluentPlay PAD framework. The data shown in this build is simulated for demonstration. Read this slide before drawing any conclusion from a session profile.
PAD = Predictive Adaptive Detection. Per-syllable scoring system modeling pre-articulatory planning instability. Provisional patent pending: Application 64/016,001, filed March 24, 2026.
D = P × A × (1 − G·λ)
P, A, G, D ∈ [0, 1]. λ = 0.6 in production. Computed per session from in-game performance signals; integration with EEG-derived physiological anchors (Pleasure dimension via PAD Ready State) is in development.
Per-phoneme baseline captured during the speaker's first 3 sessions. Current value is a rolling average of the last 5 sessions in which that phoneme was produced. Δ = current − baseline, expressed in percentage points.
Six-axis radar combines normalized changes across Pressure, Anxiety, Ground, fluency rate, session adherence, and phoneme breadth. Each axis is independently scaled to [0, 1] before plotting.
The numbers shown in this build are generated for demonstration — they do not reflect real treatment outcomes for any individual. A clinical deployment connects the dashboard to actual session output from FluentPlay games.
This dashboard does not diagnose, classify, treat, or evaluate any condition. It visualizes a single speaker's performance against their own prior baseline. It is not normed against any clinical population.
Conclusions are within-subject only. Trajectories on this dashboard cannot be compared between individuals — baselines are person-specific by construction.
The PAD equation is a working model under active development. λ may be revised. Component definitions may be refined as the EEG and fNIRS integrations mature. Treat metrics as provisional until the framework is published in a peer-reviewed venue.
The Anxiety component partly relies on speaker self-report. Self-report introduces social desirability and recall bias. The EEG anchor under development is intended to reduce that dependence.
The phoneme map only shows phonemes the speaker has produced in enough sessions to have a current estimate. Absent phonemes are not zero — they are unmeasured. Empty slots are not deficits.
Patent. US Provisional Application 64/016,001 — Predictive Adaptive Detection per-syllable scoring system. Filed March 24, 2026 (micro entity). Non-provisional deadline March 24, 2027.
FluentPlay Technologies LLC. Will Carbone, Founder & CEO. Somerville, MA. willcarbone@fluentplaytech.com. April 2026.