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

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

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: http://arxiv.org/abs/2211.03009

A worldwide diversity pilot on daily routines and social practices (2020)

Autor: Giunchiglia, Fausto, Bison, Ivano, Busso, Matteo, Chenu-Abente, Ronald, Rodas, Marcelo, Zeni, Mattia, Gunel, Can, Veltri, Giuseppe, De Götzen, Amalia, Kun, Peter, Ganbold, Amarasanaa, Ghagnaa, Altangerel, Gaskell, George, Stares, Sally, Bidoglia, Miriam, Cernuzzi, Luca, Hume, Alethia, Zarza, Hose Luis

Publikováno v: Giunchiglia, F, Bison, I, Busso, M, Chenu-Abente, R, Rodas, M, Zeni, M, Gunel, C, Veltri, G, De Götzen, A, Kun, P, Ganbold, A, Ghagnaa, A, Gaskell, G, Stares, S, Bidoglia, M, Cernuzzi, L, Hume, A & Zarza, H L 2021, A worldwide diversity pilot on daily routines and social practices (2020) . #DISI-2001-DS-01 edn, University of Trento .

This paper describes a dataset collected at the end of 2020as part of the WeNet project, a Horizon 2020 funded project that aimsat developing a diversity-aware, machine mediated paradigm for socialinteractions. The aim of the survey was to measure as

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0025204aba897be0a4543a4cdb06564a
https://vbn.aau.dk/da/publications/aa82d13d-b038-4d7b-9f68-d0923d632d97