Face and voice direction
Expression direction aggregated without identity recognition, and prosody examined without storing speech content, offer helpful signals about the emotional context of the experience.
Behavioral Signal Fusion
Project-based R&DFeedback tells you
what happened.
Context
strengthens why.
Facial expression, voice prosody, ambient/scent indicators, light and movement signals don't replace the guest's own statement. They help us understand, anonymously and in aggregate, the conditions under which the feedback was formed.
Why does it matter?
Experience doesn't happen only in the survey; it happens in the space, in the moment and in behavior.
A guest might say 'check-in was fine.' In that same window, there could be a busy flow with long waits, low lighting, or an aggregated facial-expression direction or voice prosody turning negative. These signals don't invalidate the statement; they help the manager ask a better question: was there really no problem, or did the guest simply choose not to say so openly?
Sensor data isn't the answer; it's an additional layer of evidence that explains the feedback.
Mechanism
Five signal types, one experience context.
Signals aren't combined to track a specific person, but to understand, at an aggregate level, the experience conditions at a given touchpoint.
Scent, air and light context
Suitable ambient sensors record scent/air indicators and lighting conditions; comfort and space evaluations in the feedback are tested against this context.
Movement and flow
Without tracking individuals, density, waiting and flow patterns make operational friction at specific touchpoints visible.
Example scenario
From a single sentence to an experience hypothesis that can be examined.
This example is for illustration only; it is not a real result or an automated emotion diagnosis.Short and positive feedback.
Movement and time signals.
Aggregated supporting signals.
The statement isn't rejected; the evidence is reinforced with context.
Scientific and ethical boundary
Design that doesn't track the person, but tries to understand the experience conditions.
Behavioral signal fusion is only meaningful with clear purpose, legal compliance and data minimization.
No identity recognition
No individual facial recognition, personal profiling or cross-location identity tracking is performed.
No raw-recording stockpiling
The goal isn't to build a video or audio archive; it's to process the necessary signal at the source and in as limited a form as possible.
No definitive emotion diagnosis
Face, voice or movement alone is never turned into a definitive judgment like 'the guest is angry.'
Anonymous, aggregated reporting
Results are presented at the level of touchpoint, time window and experience context — never at the level of an individual.
Talk to Metriqore