This technical report describes a dataset collected in 2021 as part of the WeNet project, a Horizon 2020 funded project that aims at developing a diversity-aware, machine-mediated paradigm for social interactions. The aim of the survey was to measure aspects of diversity based on social practices and related daily behaviours. The data collection was linked to a previous pilot and was organized in three phases. The first involved a sample of university students from five universities, located in Denmark, Italy, Mongolia, Paraguay, and the United Kingdom. The respondents had to interact in a chat application called Ask4Help exchanging request and information about their daily life. While interacting a smartphone application, called iLog, was collecting data from nine smartphone sensors, twenty-four hours a day. In the second phase, the respondents answered to the chat application evaluation questionnaire, while in the third phase they participated in a focus group to provide their feedback on the overall User Experience and explore specific research questions relevant for the project. This dataset allows to investigate the diversity and interactions of university students in a multi-layered perspective, both within and across countries, in a synchronic and diachronic way.

A worldwide diversity chat application pilot on interactions and social practices (2021) / Giunchiglia, Fausto; Bison, Ivano; Busso, Matteo; Chenu Abente Acosta, Ronald; Rodas Britez, Marcelo Dario; Gunel, Can; de Götzen, Amalia; Kun, Peter; Ganbold, Amarsanaa; Chagnaa, Altangerel; Gaskell, George; Bidoglia, Miriam; Cernuzzi, Luca; Hume, Alethia; Luis Zarza, Jose; Miorandi, Daniele; Caprini, Carlo; Schelenz, Laura; Helm, Paula; Gatica-Perez, Daniel; Meegahapola., Lakmal. - (2022).

A worldwide diversity chat application pilot on interactions and social practices (2021)

Fausto Giunchiglia;Ivano Bison;Matteo Busso;Ronald Chenu-Abente;Marcelo Rodas Britez;
2022

Abstract

This technical report describes a dataset collected in 2021 as part of the WeNet project, a Horizon 2020 funded project that aims at developing a diversity-aware, machine-mediated paradigm for social interactions. The aim of the survey was to measure aspects of diversity based on social practices and related daily behaviours. The data collection was linked to a previous pilot and was organized in three phases. The first involved a sample of university students from five universities, located in Denmark, Italy, Mongolia, Paraguay, and the United Kingdom. The respondents had to interact in a chat application called Ask4Help exchanging request and information about their daily life. While interacting a smartphone application, called iLog, was collecting data from nine smartphone sensors, twenty-four hours a day. In the second phase, the respondents answered to the chat application evaluation questionnaire, while in the third phase they participated in a focus group to provide their feedback on the overall User Experience and explore specific research questions relevant for the project. This dataset allows to investigate the diversity and interactions of university students in a multi-layered perspective, both within and across countries, in a synchronic and diachronic way.
Italia
Università degli Studi di Trento
Giunchiglia, Fausto; Bison, Ivano; Busso, Matteo; Chenu Abente Acosta, Ronald; Rodas Britez, Marcelo Dario; Gunel, Can; de Götzen, Amalia; Kun, Peter; Ganbold, Amarsanaa; Chagnaa, Altangerel; Gaskell, George; Bidoglia, Miriam; Cernuzzi, Luca; Hume, Alethia; Luis Zarza, Jose; Miorandi, Daniele; Caprini, Carlo; Schelenz, Laura; Helm, Paula; Gatica-Perez, Daniel; Meegahapola., Lakmal
A worldwide diversity chat application pilot on interactions and social practices (2021) / Giunchiglia, Fausto; Bison, Ivano; Busso, Matteo; Chenu Abente Acosta, Ronald; Rodas Britez, Marcelo Dario; Gunel, Can; de Götzen, Amalia; Kun, Peter; Ganbold, Amarsanaa; Chagnaa, Altangerel; Gaskell, George; Bidoglia, Miriam; Cernuzzi, Luca; Hume, Alethia; Luis Zarza, Jose; Miorandi, Daniele; Caprini, Carlo; Schelenz, Laura; Helm, Paula; Gatica-Perez, Daniel; Meegahapola., Lakmal. - (2022).
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11572/350459
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