Maria Santina Ler

Children’s preferences for virtual agents with natural and synthetic voices: Exploring developmental differences in willingness to interact and perceived voice quality

Miriam Veneziano, Maria Sarno, Maria Santina Ler, Marialucia Cuciniello et autres

Investigations into children’s perception and acceptance of new technologies, including voice chatbots, robots, and virtual agents, represent an emerging and rapidly expanding field of academic research. These interactive dialogue systems offer new opportunities in various settings (e.g., educational, therapeutic, and health settings) …

it (code pays fourni par la source)

Detecting Cognitive Decline Through Handwriting: The Role of Task Complexity and Feature Selection

Maria Santina Ler, Terry Amorese, Marialucia Cuciniello, Gennaro Cordasco et autres

it, es (code pays fourni par la source)

Handwriting Analysis in Early Dementia Screening: Experimental Design and Diagnostic Potential—A Comprehensive Review

Maria Santina Ler, Gennaro Cordasco, Antonio Perna, Anna Aurelia Esposito

Traditional clinical assessments for Mild Cognitive Impairment (MCI) and dementia are time-consuming and often lack the sensitivity required to detect early cognitive decline. Digitized handwriting and drawing have emerged as promising behavioral biomarkers, yet their clinical translation remains limited by fragmented protocols. …

it (code pays fourni par la source)

Task-related handwriting and drawing features for early detection of Alzheimer’s disease: A pilot study

Maria Santina Ler, Miriam Veneziano, Alfonsina D’Iorio, Gennaro Cordasco et autres

Background: Dementia causes significant disability worldwide and has no cure. The only way to improve the quality of life of those affected is through early intervention. For this reason, the development of effective diagnostic tools is a priority for healthcare systems and …

Annotated Datasets for Trajectories’ Prediction: A Research Agenda

Claudia Greco, Giovanni Di Gennaro, Marialucia Cuciniello, Terry Amorese et autres

it (code pays fourni par la source)

HUM-CARD: A human crowded annotated real dataset

Giovanni Di Gennaro, Claudia Greco, Amedeo Buonanno, Marialucia Cuciniello et autres

The growth of data-driven approaches typical of Machine Learning leads to an ever-increasing need for large quantities of labeled data. Unfortunately, these attributions are often made automatically and/or crudely, thus destroying the very concept of “ground truth” they are supposed to represent. …

it (code pays fourni par la source)