Emotional
Intelligence.

Real-time facial perception meets linguistic analysis — measuring EQ from a single conversation.

See the Data Back to Home

Emotional Coherence

The gap between what a student says and what their face reveals.

0.0 / 1.0

High coherence — stated emotions match observed facial signals. Strong self-awareness.

Stated

excited love

Observed

excited confident nervous uncertain

5 Dimensions of EQ

Mapped from a single 15-minute AI conversation.

Self Awareness 0.80

Coherence between stated and observed affect

Emotional Regulation 1.00

Recovery language following negative content

Motivation 0.00

Causal reasoning density and goal-oriented language

Self Disclosure 0.66

Openness and first-person language density

Valence Awareness 0.67

Positive-to-negative emotion word ratio

Raw Signals

Linguistic markers — 68 words across 7 student turns.

0.0 Hedging Ratio Self-doubt markers

0.0 Cognitive Complexity Causal reasoning

1.0 Resilience Recovery language

0.132 Self-Disclosure Introspective language

2 Emotion Vocab Unique emotion words

2.0 Valence Ratio Positive / negative

Raven-0 Perception

Real-time facial and behavioral analysis from the session.

Eye Contact Detected

Smiling Detected

Tension Not detected

Fidgeting Detected

Observed States

excited confident nervous uncertain

"The user frequently rests a hand on his head, suggesting thoughtfulness. His gaze varies, often looking downwards as if deep in thought. His emotional state exhibits a dynamic progression — initially reflective, then transitioning to genuine amusement, joy, and engagement."

— Raven-0 Perception Engine

0.8

The gap surveys can't detect.

This student said they were excited about college. Raven-0 observed nervousness and uncertainty on their face. Our coherence score quantifies that alignment — no survey or text-based tool can capture this.

Built from a single 15-minute conversation.

c255de…4a9 Session

7 Turns

68 Words