Abstract
This paper describes a dataset collected at the end of 2020
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 organized in two phases. The first involved a large sample
of university students from five universities, located in Denmark, Italy,
Mongolia, Paraguay and the United Kingdom. The respondents had to
fill a survey aimed at investigating their social practices and specific
socio-demographic, cultural and psychological elements. In the second
phase, a sub-sample of the respondents participated to a 4 weeks data
collection in which they were asked to fill in a self-reported time diary.
This was done via a smartphone application, called iLog, which was also
collecting data from thirty-four smartphone sensors, twenty-four hours
a day. This dataset allows to investigate the diversity and daily routines
of university students in a multi-layered perspective, both within and
across countries, in a synchronic and diachronic way
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 organized in two phases. The first involved a large sample
of university students from five universities, located in Denmark, Italy,
Mongolia, Paraguay and the United Kingdom. The respondents had to
fill a survey aimed at investigating their social practices and specific
socio-demographic, cultural and psychological elements. In the second
phase, a sub-sample of the respondents participated to a 4 weeks data
collection in which they were asked to fill in a self-reported time diary.
This was done via a smartphone application, called iLog, which was also
collecting data from thirty-four smartphone sensors, twenty-four hours
a day. This dataset allows to investigate the diversity and daily routines
of university students in a multi-layered perspective, both within and
across countries, in a synchronic and diachronic way
| Originalsprog | Engelsk |
|---|
| Forlag | University of Trento |
|---|---|
| Udgave | #DISI-2001-DS-01 |
| Antal sider | 26 |
| Status | Udgivet - 2021 |
| Udgivet eksternt | Ja |