activity
20222025
most citedGeneralization and Personalization of Mobile Sensing-Based Mood Inference Models: An Analysis of College Students in Eight Countries

48 citations · 88 across the 8 of their papers we have counts for

collaborators

9 papers

cs.HC2025

Towards Open Diversity-Aware Social Interactions

Loizos Michael, Ivano Bison, Matteo Busso +15

Social Media and the Internet have catalyzed an unprecedented potential for exposure to human diversity in terms of demographics, talents, opinions, knowledge, and the like. Howeve…

cs.CY2025★ 12 cited

DiversityOne: A Multi-Country Smartphone Sensor Dataset for Everyday Life Behavior Modeling

Matteo Busso, Andrea Bontempelli, Leonardo Javier Malcotti +23

Understanding everyday life behavior of young adults through personal devices, e.g., smartphones and smartwatches, is key for various applications, from enhancing the user experien…

cs.DB2024

LiveData -- A Worldwide Data Mesh for Stratified Data

Simone Bocca, Amarsanaa Ganbold, Tsolmon Zundui

Data reuse is fundamental for reducing the data integration effort required to build data supporting new applications, especially in data scarcity contexts. However, data reuse req…

cs.CY2023

Social Interactions Mediated by the Internet and the Big- Five: a Cross-Country Analysis

Andrea Mercado, Alethia Hume, Ivanno Bison +3

This study analyzes the possible relationship between personality traits, in terms of Big Five (extraversion, agreeableness, responsibility, emotional stability and openness to exp…

cs.CY2023★ 1 cited

Social interactions mediated by the Internet and the Big-Five: a cross-country analysis

Andrea Mercado, Alethia Hume, Ivano Bison +3

This study analyzes the possible relationship between personality traits, in terms of Big Five (extraversion, agreeableness, responsibility, emotional stability and openness to exp…

cs.HC2023★ 25 cited

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…

cs.HC2022★ 48 cited

Generalization and Personalization of Mobile Sensing-Based Mood Inference Models: An Analysis of College Students in Eight Countries

Lakmal Meegahapola, William Droz, Peter Kun +24

Mood inference with mobile sensing data has been studied in ubicomp literature over the last decade. This inference enables context-aware and personalized user experiences in gener…

cs.CL2022

The SIGMORPHON 2022 Shared Task on Morpheme Segmentation

Khuyagbaatar Batsuren, Gábor Bella, Aryaman Arora +10

The SIGMORPHON 2022 shared task on morpheme segmentation challenged systems to decompose a word into a sequence of morphemes and covered most types of morphology: compounds, deriva…

cs.CL2022★ 2 cited

Using Linguistic Typology to Enrich Multilingual Lexicons: the Case of Lexical Gaps in Kinship

Temuulen Khishigsuren, Gábor Bella, Khuyagbaatar Batsuren +6

This paper describes a method to enrich lexical resources with content relating to linguistic diversity, based on knowledge from the field of lexical typology. We capture the pheno…