activity
20192026
most citededBB: Biometrics and Behavior for Assessing Remote Education

29 citations · 88 across the 22 of their papers we have counts for

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11 papers · 1 filter

cs.HC2026

Evaluating Social Engineering Risks in AI-based Interaction using Biometrics and a Gaming Setup

Roberto Daza, Javier Irigoyen, Ivan Lopez +5

We introduce AIriskEval-gaming, an open platform and dataset to evaluate social engineering risks in LLM-mediated multimodal interaction through controlled games. It supports human…

cs.HC2026

A Multimodal Dataset of Student Oral Presentations with Sensors and Evaluation Data

Alvaro Becerra, Ruth Cobos, Roberto Daza

Oral presentation skills are a critical component of higher education, yet comprehensive datasets capturing real-world student performance across multiple modalities remain scarce.…

cs.HC2025

MOSAIC-F: A Framework for Enhancing Students' Oral Presentation Skills through Personalized Feedback

Alvaro Becerra, Daniel Andres, Pablo Villegas +2

In this article, we present a novel multimodal feedback framework called MOSAIC-F, an acronym for a data-driven Framework that integrates Multimodal Learning Analytics (MMLA), Obse…

cs.HC2025

M2LADS Demo: A System for Generating Multimodal Learning Analytics Dashboards

Alvaro Becerra, Roberto Daza, Ruth Cobos +2

We present a demonstration of a web-based system called M2LADS ("System for Generating Multimodal Learning Analytics Dashboards"), designed to integrate, synchronize, visualize, an…

cs.HC2025★ 4 cited

SMARTe-VR: Student Monitoring and Adaptive Response Technology for e-Learning in Virtual Reality

Roberto Daza, Lin Shengkai, Aythami Morales +2

This work introduces SMARTe-VR, a platform for student monitoring in an immersive virtual reality environment designed for online education. SMARTe-VR aims to collect data for adap…

cs.HC2024★ 7 cited

A multimodal dataset for understanding the impact of mobile phones on remote online virtual education

Roberto Daza, Alvaro Becerra, Ruth Cobos +2

This work presents the IMPROVE dataset, a multimodal resource designed to evaluate the effects of mobile phone usage on learners during online education. It includes behavioral, bi…

cs.HC2024★ 15 cited

DeepFace-Attention: Multimodal Face Biometrics for Attention Estimation with Application to e-Learning

Roberto Daza, Luis F. Gomez, Julian Fierrez +3

This work introduces an innovative method for estimating attention levels (cognitive load) using an ensemble of facial analysis techniques applied to webcam videos. Our method is p…

cs.HC2023★ 2 cited

M2LADS: A System for Generating MultiModal Learning Analytics Dashboards in Open Education

Álvaro Becerra, Roberto Daza, Ruth Cobos +3

In this article, we present a Web-based System called M2LADS, which supports the integration and visualization of multimodal data recorded in learning sessions in a MOOC in the for…

cs.HC2022★ 1 cited

edBB-Demo: Biometrics and Behavior Analysis for Online Educational Platforms

Roberto Daza, Aythami Morales, Ruben Tolosana +3

We present edBB-Demo, a demonstrator of an AI-powered research platform for student monitoring in remote education. The edBB platform aims to study the challenges associated to use…

cs.HC2020

Heart Rate Estimation from Face Videos for Student Assessment: Experiments on edBB

Javier Hernandez-Ortega, Roberto Daza, Aythami Morales +2

In this study we estimate the heart rate from face videos for student assessment. This information could be very valuable to track their status along time and also to estimate othe…

cs.HC2019★ 29 cited

edBB: Biometrics and Behavior for Assessing Remote Education

Javier Hernandez-Ortega, Roberto Daza, Aythami Morales +2

We present a platform for student monitoring in remote education consisting of a collection of sensors and software that capture biometric and behavioral data. We define a collecti…