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20212026
most citedHow Good is ChatGPT at Face Biometrics? A First Look into Recognition, Soft Biometrics, and Explainability

53 citations · 119 across the 33 of their papers we have counts for

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cs.HC2026

AICoFe Demo: AI-based Collaborative Feedback System

Alvaro Becerra, Alejandra Palma, Ruth Cobos +1

Peer feedback promotes active learning, critical reflection, and skill development, but its effectiveness is often limited by the quality of feedback students provide. Recent advan…

cs.HC2026

AISSA Demo: AI-based Student Slides Analysis Tool for Automated Grading and Feedback

Alvaro Becerra, Diego Gomez, Ruth Cobos +1

We present an AI-based web-oriented tool designed to support formative feedback for oral presentation slides in higher education: AISSA. It allows students to upload their slides b…

cs.HC2026

Mobile Interaction for Assessing Fatigue, Sleep, and Activity in Neurodegenerative and Chronic Diseases

Julian Fierrez, Alejandro Peña, Aythami Morales +13

Fatigue, sleep, or disturbances in daily activities are common symptoms among patients with neurodegenerative disorders (NDD) and immune-mediated inflammatory diseases (IMID). The…

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.HC2024★ 2 cited

Longitudinal Analysis and Quantitative Assessment of Child Development through Mobile Interaction

Juan Carlos Ruiz-Garcia, Ruben Tolosana, Ruben Vera-Rodriguez +4

This article provides a comprehensive overview of recent research in the area of Child-Computer Interaction (CCI). The main contributions of the present article are two-fold. First…

cs.HC2024★ 7 cited

Children Age Group Detection based on Human-Computer Interaction and Time Series Analysis

Juan Carlos Ruiz-Garcia, Carlos Hojas, Ruben Tolosana +5

This article proposes a novel Children-Computer Interaction (CCI) approach for the task of age group detection. This approach focuses on the automatic analysis of the time series g…

cs.HC2022★ 6 cited

ChildCI Framework: Analysis of Motor and Cognitive Development in Children-Computer Interaction for Age Detection

Juan Carlos Ruiz-Garcia, Ruben Tolosana, Ruben Vera-Rodriguez +2

This article presents a comprehensive analysis of the different tests proposed in the recent ChildCI framework, proving its potential for generating a better understanding of child…