This page lists every source cited across Emotuit's guides and articles, grouped by topic: engagement and disengagement research, emotion recognition and affective computing, learning measurement and L&D data, and EU AI Act and privacy regulation.
Engagement and disengagement research
ScienceDirect (2024) — Cyberloafing as a predictor of disengagement in online courses. Finds tab-switching to be the single strongest predictor of disengagement, outperforming self-regulation and satisfaction measures. sciencedirect.com
Boote, D., Agarwal, A. & Mostow, J. (2021) — Predicting disengagement before it occurs. Reports 73.3% prediction accuracy with 40% of the activity still remaining. pmc.ncbi.nlm.nih.gov
OUCI / DNTB — Multimodal engagement classification in online learning. Reports classification accuracy improving from 91.5% to 94.6% when behavioural signals are combined with facial expression analysis. ouci.dntb.gov.ua
PMC (2021) — MOOC engagement framework. Real-time system perceiving learner engagement by recognising facial expressions and mapping them to content positions. pmc.ncbi.nlm.nih.gov
ScienceDirect (2020) — Facial expression analysis of 67 students to identify which lecture segments caused disengagement. sciencedirect.com
Emotion recognition and affective computing
Barrett, L. F., Adolphs, R., Marsella, S., Martinez, A. M. & Pollak, S. D. (2019) — Emotional Expressions Reconsidered: Challenges to Inferring Emotion From Human Facial Movements. Psychological Science in the Public Interest. The most substantial published challenge to the basic-emotion model underlying FACS-based classification. journals.sagepub.com
Frontiers in Psychology (January 2026) — On calibration in affective computing: "Calibration typically involves capturing a neutral facial expression and adjusting subsequent data accordingly." Notes particular relevance for passive viewing scenarios. frontiersin.org
Springer, Smart Learning Environments (2025) — Confirms FACS as the standard framework for AI-driven educational emotion recognition. link.springer.com
PMC / Multimedia Tools and Applications (2022) — Deep learning models (Inception-V3, VGG19, ResNet-50) calculating engagement indices from facial emotion recognition data. pmc.ncbi.nlm.nih.gov
Ekman, P. & Friesen, W. V. — Facial Action Coding System. The taxonomy of facial Action Units underlying essentially all commercial facial expression analysis.
Russell, J. A. — A circumplex model of affect. The valence–arousal dimensional alternative to discrete emotion categories.
Learning measurement and L&D data
LinkedIn — Workplace Learning Report. Source for the finding that 67% of L&D leaders struggle to demonstrate training impact and 29% feel confident proving ROI. learning.linkedin.com
TalentLMS — 2026 L&D Report: The State of Workplace Learning. talentlms.com
AIHR — Learning and development statistics. Source for several completion and measurement benchmarks. aihr.com
eLearning Industry — On why completion rates of online courses are low, and how they vary by format. elearningindustry.com
Kirkpatrick Partners — The Kirkpatrick Model and the New World Kirkpatrick Model. kirkpatrickpartners.com
Sweller, J. — Cognitive Load Theory. The intrinsic, extraneous and germane load distinction underlying content design guidance.
EU AI Act, privacy and regulation
Regulation (EU) 2024/1689 — the AI Act. Article 5 sets out prohibited practices; Article 5(1)(f) covers emotion inference in workplace and education contexts. Recital 18 defines the exclusions. Article 3(34) defines biometric data; Article 3(39) defines emotion recognition systems. artificialintelligenceact.eu/article/5
Future of Privacy Forum — Red Lines under the EU AI Act: Unpacking the Prohibition of Emotion Recognition in the Workplace and Education Institutions. The most thorough public analysis of the prohibition's scope, including the unresolved secondary-functionality question. fpf.org
Wolters Kluwer — The Prohibition of AI Emotion Recognition Technologies in the Workplace under the AI Act. legalblogs.wolterskluwer.com
Technology's Legal Edge — EU AI Act: Spotlight on Emotional Recognition Systems in the Workplace. technologyslegaledge.com
Information Commissioner's Office (UK) — Guidance and public statements on biometric technologies and emotion detection, including warnings on scientific reliability and discrimination risk. ico.org.uk
GDPR — Regulation (EU) 2016/679. Article 4(14) biometric data definition; Article 9 special category conditions; Article 35 DPIA requirement; Article 36 prior consultation.
Market and category
Fortune Business Insights — Emotion AI market size and forecast. fortunebusinessinsights.com
GM Insights — Emotion AI market analysis. gminsights.com
EFF — Students Are Pushing Back Against Proctoring Surveillance Apps. Context on the cultural and reputational dimension of monitoring in education. eff.org
Where a source is behind a paywall or an institutional login we link to the publisher rather than a copy. Where we quote a figure, it appears in the source as quoted — we have not rounded, combined or reinterpreted numbers to make a point. If you find a discrepancy, tell us and we will correct it.
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