EATS: an Emotion and Attention Tracking System

Product or Programme · All products and programmes
Evidence · 2 claims (1 for, 1 mixed) · 1 study (1 design), q2 · 0 of 1 report an effect size · 2 claims rest on one study

Description

EATS is a BigBlueButton-based software platform developed by Emirhan Gülen for instructors to monitor students’ facial-expression-derived emotions and attention during live online classes.

Components

• EATS: an Emotion and Attention Tracking System for live online classes: EATS is a platform built on the BigBlueButton live classroom system that measures students' emotion and attention in real time via image processing technology for students with cameras activated. As the article describes it, "the platform developed on the BigBlueButton live classroom system displays emojis corresponding to users’ facial expressions, allowing the instructor to monitor students’ emotions in real time." Background colors of name boxes change according to attention percentages, and access to the data is restricted solely to the instructor. The system was developed following the Software Development Life Cycle and integrates established libraries including OpenCV. (Emirhan Gülen (2026))

Claims

• EATS showed high agreement with expert observation for happiness, surprise, sadness, and fear (92.5–97.5%) and for attention (97.5%) [+M]
• EATS detected disgust with lower agreement (90%) than other basic emotions, highlighting a limitation of facial-expression-only measurement [~M]

Related Products and Programmes

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Key Sources

• Emirhan Gülen, Yüksel Göktaş. (2026). Facial expression recognition for investigating attention and affective states in synchronous online higher education. Educational technology research and development. https://doi.org/10.1007/s11423-026-10631-0

Page metadata

Field	Value
type	product
id	eats-an-emotion-and-attention-tracking-system
title	EATS: an Emotion and Attention Tracking System
description	EATS is a BigBlueButton-based software platform developed by Emirhan Gülen for instructors to monitor students’ facial-expression-derived emotions and attention during live online classes.
status	review
product_kind	software
generated	by process:settle-candidates on 2026-10-29
trust	unverified — no one has confirmed this page's content

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