Adaptation of student behavioural routines during Covid-19: a multimodal approach

Autor: Nicolò Alessandro Girardini, Simone Centellegher, Andrea Passerini, Ivano Bison, Fausto Giunchiglia, Bruno Lepri

Publikováno v: EPJ Data Science, Vol 12, Iss 1, Pp 1-22 (2023)

Abstract One population group that had to significantly adapt and change their behaviour during the COVID-19 pandemic is students. While previous studies have extensively investigated the impact of the pandemic on their psychological well-being and a

Externí odkaz: https://doaj.org/article/db674468c3a643e88f0bcbba5ad854fc

Analysis of the Big-Five personality traits in the Chatbot 'UC - Paraguay'

Autor: Alethia Hume, Luca Cernuzzi, José Luis Zarza, Ivano Bison, Daniel Gatica-Perez

Publikováno v: CLEI Electronic Journal, Vol 25, Iss 2 (2022)

In the context of the project "WeNet: Internet of us" we are studying the role of diversity in relation to Internet-mediated social interactions. In this paper, in particular, we analyze a possible relationship between personality aspects and social

Externí odkaz: https://doaj.org/article/5f9883e8e438436dbe334f60f971f62a

Improving Time Use Measurement with Personal Big Data Collection – The Experience of the European Big Data Hackathon 2019

Autor: Mattia Zeni, Fernando Reis, Britta Gauckler, Fausto Giunchiglia, Ivano Bison

Publikováno v: Journal of Official Statistics, Vol 37, Iss 2, Pp 341-365 (2021)
Journal of Official Statistics

This article assesses the experience with i-Log at the European Big Data Hackathon 2019, a satellite event of the New Techniques and Technologies for Statistics (NTTS) conference, organised by Eurostat. i-Log is a system that enables capturing person

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95388c1a86cdaf0cd22abbeb58cf3836
https://doi.org/10.2478/jos-2021-0015

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

Autor: Lakmal Meegahapola, William Droz, Peter Kun, Amalia de Götzen, Chaitanya Nutakki, Shyam Diwakar, Salvador Ruiz Correa, Donglei Song, Hao Xu, Miriam Bidoglia, George Gaskell, Altangerel Chagnaa, Amarsanaa Ganbold, Tsolmon Zundui, Carlo Caprini, Daniele Miorandi, Alethia Hume, Jose Luis Zarza, Luca Cernuzzi, Ivano Bison, Marcelo Rodas Britez, Matteo Busso, Ronald Chenu-Abente, Can Günel, Fausto Giunchiglia, Laura Schelenz, Daniel Gatica-Perez

Publikováno v: Meegahapola, L, Droz, W, Kun, P, de Götzen, A, Nutakki, C, Diwakar, S, Ruiz-Correa, S, Song, D, Xu, H, Bidoglia, M, Gaskell, G, Chagnaa, A, Ganbold, A, Zundui, T, Caprini, C, Miorandi, D, Hume, A, Zarza, J L, Cernuzzi, L, Bison, I, Rodas Britez, M, Busso, M, Chenu-Abente, R, Günel, C, Giunchiglia, F, Schelenz, L & Gatica-Perez, D 2022, ' Generalization and Personalization of Mobile Sensing-Based Mood Inference Models : An Analysis of College Students in Eight Countries ', Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., vol. 6, no. 4, 176, pp. 1-32 . https://doi.org/10.1145/3569483

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 general mobile apps and valuable feedback and interventions in mobile healt

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7aae99099ea0abb1aefd2aeec71e0d88

Putting human behavior predictability in context

Autor: Qiang Shen, Wanyi Zhang, Fausto Giunchiglia, Stefano Teso, Andrea Passerini, Bruno Lepri, Ivano Bison

Publikováno v: EPJ Data Science, Vol 10, Iss 1, Pp 1-22 (2021)
EPJ Data Science

Various studies have investigated the predictability of different aspects of human behavior such as mobility patterns, social interactions, and shopping and online behaviors. However, the existing researches have been often limited to a single or to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f73bc6eadc95737ad6d40b223808c8bd
http://hdl.handle.net/11572/319640