48 citations · 124 across the 10 of their papers we have counts for
10 papers
Help the machine to help you: an evaluation in the wild of egocentric data cleaning via skeptical learning
Andrea Bontempelli, Matteo Busso, Leonardo Javier Malcotti +1
Any digital personal assistant, whether used to support task performance, answer questions, or manage work and daily life, including fitness schedules, requires high-quality annota…
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…
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…
Artificial Intelligence in Everyday Life 2.0: Educating University Students from Different Majors
Maria Kasinidou, Styliani Kleanthous, Matteo Busso +3
With the surge in data-centric AI and its increasing capabilities, AI applications have become a part of our everyday lives. However, misunderstandings regarding their capabilities…
A research infrastructure for generating and sharing diversity-aware data
Matteo Busso, Ronal Chenu Abente Acosta, Amalia de Götzen
The intensive flow of personal data associated with the trend of computerizing aspects of people's diversity in their daily lives is associated with issues concerning not only peop…
A context model for collecting diversity-aware data
Matteo Busso, Xiaoyue Li
Diversity-aware data are essential for a robust modeling of human behavior in context. In addition, being the human behavior of interest for numerous applications, data must also b…
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…
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…
A Context Model for Personal Data Streams
Fausto Giunchiglia, Xiaoyue Li, Matteo Busso +1
We propose a model of the situational context of a person and show how it can be used to organize and, consequently, reason about massive streams of sensor data and annotations, as…
The Theory, Practice, and Ethical Challenges of Designing a Diversity-Aware Platform for Social Relations
Laura Schelenz, Ivano Bison, Matteo Busso +5
Diversity-aware platform design is a paradigm that responds to the ethical challenges of existing social media platforms. Available platforms have been criticized for minimizing us…