{ "@context": "https://schema.org", "@type": "DefinedTermSet", "name": "EchoDepth Events Glossary", "url": "https://echodepthevents.com/glossary.html", "hasDefinedTerm": [ { "@type": "DefinedTerm", "name": "Action Unit (AU)", "description": "A discrete facial muscle movement defined by the Facial Action Coding System (FACS). EchoDepth tracks all 44 FACS Action Units to decode emotional states." }, { "@type": "DefinedTerm", "name": "Confidence Score", "description": "EchoDepth Events primary positive engagement signal — a composite of high-valence AU patterns indicating genuine interest, delight, and engagement." }, { "@type": "DefinedTerm", "name": "Confusion Signal", "description": "An elevated AU4 (brow lowerer) reading, often co-occurring with AU7, indicating cognitive effort or unclear messaging." }, { "@type": "DefinedTerm", "name": "Edge Processing", "description": "Local on-device video analysis where raw video never leaves the venue. Fundamental to EchoDepth's privacy-by-design architecture." }, { "@type": "DefinedTerm", "name": "Engagement Zone", "description": "A defined physical area on the event floor assigned its own camera and analytics profile within the EchoDepth Events dashboard." }, { "@type": "DefinedTerm", "name": "FACS", "description": "Facial Action Coding System. Developed by Paul Ekman and Wallace Friesen (1978). The standard taxonomy for describing human facial expressions via muscle group movements." }, { "@type": "DefinedTerm", "name": "Instability Score", "description": "EchoDepth's measure of ambivalence and conflicting emotional signals. Elevated by co-occurring confusion, scepticism, and low-valence AU patterns." }, { "@type": "DefinedTerm", "name": "Net Confidence", "description": "Confidence Score minus Instability Score, normalised to -1 to +1. The headline signal for visitor emotional disposition in any zone." }, { "@type": "DefinedTerm", "name": "PII", "description": "Personally Identifiable Information. Under GDPR, face images constitute biometric PII. EchoDepth Events processes frames locally and discards them — no PII is retained." }, { "@type": "DefinedTerm", "name": "Population-Level Analytics", "description": "Aggregate analysis of emotional signals across many visitors rather than individual profiling. The basis of EchoDepth's privacy-compatible design." }, { "@type": "DefinedTerm", "name": "Privacy by Design", "description": "GDPR Article 25 principle requiring data protection to be embedded in system architecture from the outset, not added as a policy layer." }, { "@type": "DefinedTerm", "name": "ROI Attribution", "description": "The process of connecting emotional engagement data to commercial outcomes — lead quality, conversion rates, and repeat attendance." }, { "@type": "DefinedTerm", "name": "VAD Model", "description": "Valence-Arousal-Dominance. A three-dimensional psychological model of emotional state used by EchoDepth to add nuance beyond simple emotion labels." }, { "@type": "DefinedTerm", "name": "Valence", "description": "The positive or negative quality of an emotional experience. High valence = pleasant/engaging. Low valence = unpleasant/aversive." }, { "@type": "DefinedTerm", "name": "Arousal", "description": "The intensity or energy level of an emotional state. High arousal = excited or anxious. Low arousal = calm or disengaged." }, { "@type": "DefinedTerm", "name": "Dominance", "description": "The degree of control or agency felt in an emotional state. Relevant for distinguishing confident engagement from overwhelmed confusion." }, { "@type": "DefinedTerm", "name": "Dwell Time", "description": "Duration a visitor spends in a defined zone. Combined with emotion signals to produce engagement quality scores." } ] }
FACS emotion analytics, GDPR privacy principles, and event measurement concepts defined.
A discrete facial muscle movement defined by the Facial Action Coding System (FACS). EchoDepth tracks all 44 FACS Action Units to decode emotional states.
EchoDepth Events primary positive engagement signal — a composite of high-valence AU patterns indicating genuine interest, delight, and engagement.
An elevated AU4 (brow lowerer) reading, often co-occurring with AU7, indicating cognitive effort or unclear messaging.
Local on-device video analysis where raw video never leaves the venue. Fundamental to EchoDepth's privacy-by-design architecture.
A defined physical area on the event floor assigned its own camera and analytics profile within the EchoDepth Events dashboard.
Facial Action Coding System. Developed by Paul Ekman and Wallace Friesen (1978). The standard taxonomy for describing human facial expressions via muscle group movements.
EchoDepth's measure of ambivalence and conflicting emotional signals. Elevated by co-occurring confusion, scepticism, and low-valence AU patterns.
Confidence Score minus Instability Score, normalised to -1 to +1. The headline signal for visitor emotional disposition in any zone.
Personally Identifiable Information. Under GDPR, face images constitute biometric PII. EchoDepth Events processes frames locally and discards them — no PII is retained.
Aggregate analysis of emotional signals across many visitors rather than individual profiling. The basis of EchoDepth's privacy-compatible design.
GDPR Article 25 principle requiring data protection to be embedded in system architecture from the outset, not added as a policy layer.
The process of connecting emotional engagement data to commercial outcomes — lead quality, conversion rates, and repeat attendance.
Valence-Arousal-Dominance. A three-dimensional psychological model of emotional state used by EchoDepth to add nuance beyond simple emotion labels.
The positive or negative quality of an emotional experience. High valence = pleasant/engaging. Low valence = unpleasant/aversive.
The intensity or energy level of an emotional state. High arousal = excited or anxious. Low arousal = calm or disengaged.
The degree of control or agency felt in an emotional state. Relevant for distinguishing confident engagement from overwhelmed confusion.
Duration a visitor spends in a defined zone. Combined with emotion signals to produce engagement quality scores.