Absorb LMS reports completion, progress and assessment results, but has no visibility into attention within a piece of content. Emotuit adds content-level engagement data — dwell, focus, tab-switching and drop-off position — through a sub-50KB script, alongside existing reporting rather than replacing it.
What Absorb LMS already gives you
Absorb Analyze provides dashboards for enrolment, completion, engagement scoring and learner activity.
What it does not
Absorb markets an "engagement" metric, so it is worth being precise: it is derived from platform activity — logins, course starts, completions. It measures platform usage, not attention to content.
This is not a criticism of Absorb specifically — it is true of essentially every LMS on the market. Completion and navigation data is what these systems were built to record, and they record it well. Attention is a different measurement problem, solved in the content layer rather than the platform layer.
How Emotuit fits
Add via Portal Settings → Custom CSS/JavaScript, or wrap content as SCORM for tenancies where script injection is restricted.
The SDK is under 50KB, adds one script tag, and requires no migration or infrastructure change. It runs alongside Absorb's own reporting rather than replacing it.
Details
Two different "engagement" metrics
Absorb's engagement score answers "is this learner active on the platform". Ours answers "did this content hold attention". Both are useful; conflating them is not.
Works with
Absorb-hosted lessons, SCORM, xAPI and embedded video.
What you get
| Metric | Detail |
|---|---|
| Content-level engagement | A score for every section, not one per course |
| Drop-off position | Where sessions actually end |
| Focus-adjusted dwell | Real attention, discounting background tabs |
| Tab-switch rate | The strongest single predictor of disengagement |
| Replay behaviour | Where learners went back — a confusion signal |
| Cohort comparison | A/B test content versions on real attention |
Deployment options
Emotuit runs in two configurations, and for LMS deployments in the EU the choice matters.
Signals uses behavioural telemetry only — no camera, no biometric data, no emotion inference. It sits outside the EU AI Act Article 5(1)(f) prohibition on inferring emotions in workplace and education contexts, which makes it the default recommendation for corporate L&D and education.
Learn adds a client-side facial expression layer. It should not be deployed to EU employees or students, and is intended for market research, UX and media testing contexts.
Frequently asked questions
Does this replace Absorb's built-in reporting?
Does it need a webcam?
How long does integration take?
Will it slow the platform down?
See it on your own Absorb content
We'll instrument one module and show you the engagement data before you commit to anything.