48 citations · 331 across the 20 of their papers we have counts for
8 papers · 1 filter
Learning About Social Context from Smartphone Data: Generalization Across Countries and Daily Life Moments
Aurel Ruben Mader, Lakmal Meegahapola, Daniel Gatica-Perez
Understanding how social situations unfold in people's daily lives is relevant to designing mobile systems that can support users in their personal goals, well-being, and activitie…
Inferring Mood-While-Eating with Smartphone Sensing and Community-Based Model Personalization
Wageesha Bangamuarachchi, Anju Chamantha, Lakmal Meegahapola +4
The interplay between mood and eating episodes has been extensively researched, revealing a connection between the two. Previous studies have relied on questionnaires and mobile ph…
Understanding the Social Context of Eating with Multimodal Smartphone Sensing: The Role of Country Diversity
Nathan Kammoun, Lakmal Meegahapola, Daniel Gatica-Perez
Understanding the social context of eating is crucial for promoting healthy eating behaviors. Multimodal smartphone sensor data could provide valuable insights into eating behavior…
Examining European Press Coverage of the Covid-19 No-Vax Movement: An NLP Framework
David Alonso del Barrio, Daniel Gatica-Perez
This paper examines how the European press dealt with the no-vax reactions against the Covid-19 vaccine and the dis- and misinformation associated with this movement. Using a curat…
Framing the News:From Human Perception to Large Language Model Inferences
David Alonso del Barrio, Daniel Gatica-Perez
Identifying the frames of news is important to understand the articles' vision, intention, message to be conveyed, and which aspects of the news are emphasized. Framing is a widely…
ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees
Sina Sajadmanesh, Daniel Gatica-Perez
Graph Neural Networks (GNNs) have become a popular tool for learning on graphs, but their widespread use raises privacy concerns as graph data can contain personal or sensitive inf…
Complex Daily Activities, Country-Level Diversity, and Smartphone Sensing: A Study in Denmark, Italy, Mongolia, Paraguay, and UK
Karim Assi, Lakmal Meegahapola, William Droz +19
Smartphones enable understanding human behavior with activity recognition to support people's daily lives. Prior studies focused on using inertial sensors to detect simple activiti…
Your Day in Your Pocket: Complex Activity Recognition from Smartphone Accelerometers
Emma Bouton--Bessac, Lakmal Meegahapola, Daniel Gatica-Perez
Human Activity Recognition (HAR) enables context-aware user experiences where mobile apps can alter content and interactions depending on user activities. Hence, smartphones have b…