Analytics summary

AIREST Insights Dashboard

A consolidated view of attention bias and speech biomarkers with clear, investor-friendly insights.

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Session snapshot

Last run

12:42

Protocol length

11 min

Confidence

High

Signals captured

Face • Voice • Text

Session overview

124

Sessions analyzed

82/100

Avg attention score

+14%

Bias toward target

0.71

Speech clarity index

Low

Risk flag

Attention analytics

Heatmap overview

Demo

Density shows higher focus on threat cues during the first 12 seconds.

Key metrics

First fixation

1.6s

Dwell time

57%

Saccade stability

0.82

Calibration fit

Good

Insights

  • Attention shifts stabilize after slide 3.
  • Left-right balance improves with guided prompts.
  • Outlier frames: 4% (blink detection).

Speech analytics

Voice signal & sentiment

Demo

Prosody remains steady with moderate energy peaks in free speech.

Key metrics

Speech rate

136 wpm

Pauses

1.8 / min

Pitch variance

0.62

Sentiment balance

Neutral+

Insights

  • Stable articulation during sustained phonation.
  • Lower energy during reflective prompts.
  • High transcript confidence in 92% of samples.

Insight pipeline

Capture signals
Clean & normalize
Model scoring
Clinical mapping
Report & monitoring

Quality & reliability

  • Camera coverage: 94% valid frames
  • Audio SNR: 27 dB (good)
  • Model confidence: 0.81 avg
  • Privacy: local-first processing, no cloud upload

Recommended next steps

  • Repeat test in 7 days to confirm stability.
  • Share summary with clinician for baseline review.
  • Enable longitudinal monitoring for treatment response.

Ready for a deeper pilot?

We can tailor the analytics for clinics, employers, or insurers.