The study aimed to assess diversity through the social practices and daily behaviors of university students from eight different countries. The research was carried out in two phases. Initially, a large sample of students from Denmark, Italy, Mongolia, Paraguay, the United Kingdom, China, Mexico, and India, completed a survey on their social practices, as well as their socio-demographic, cultural, and psychological elements. In the second phase, a sub-sample of the respondents engaged in a four-week data collection by using an innovative smartphone application called iLog. This app collected data from thirty-four smartphone sensors around the clock, allowing for an in-depth investigation into the diversity and daily routines of university students across countries, both synchronically and diachronically.
License | 2023 LivePeople Licence |
---|---|
Project title | 2020-DiversityOne-Amrita |
Project URL | View |
Project web page | View |
Project keywords | Diversity, Social Practices, Lifestyle, Smartphone data, Sensor data |
Project type | Data collection |
Project start date | 2021-05-26 |
Project end date | 2021-08-12 |
Project funding agency | European Union’s Horizon 2020 WeNet project, under grant agreement 823788 |
Project output | Datasets, Publications |
Project coordinator | Shyam Diwakar |
Project area | LivePeople |
Project members | Chaitanya Nutakki |
Project target location | Amrita (India) |
Overall participants involved | 6598 |
Selected participants | 20 |
Type of measurements | Questionnaire, Intensive Longitudinal Survey |
IRB approval date | 2020-06-29 |
IRB approval organization | Amrita Vishwa Vidyapeetham |
Cite as | Matteo Busso, Andrea Bontempelli, Leonardo Javier Malcotti, Lakmal Meegahapola, Peter Kun, Shyam Diwakar, Chaitanya Nutakki, Marcelo Rodas Britez,Hao Xu, Donglei Song, Salvador Ruiz-Correa, Andrea-Rebeca Mendoza-Lara, George Gaskell, Sally Stares, Miriam Bidoglia, Amarsanaa Ganbold, Altangerel Chagnaa, Luca Cernuzzi, Alethia Hume, Ronald Chenu-Abente, Roy Alia Asiku, Ivan Kayongo, Daniel Gatica-Perez, Amalia De Götzen, Ivano Bison, and Fausto Giunchiglia. (2025). DiversityOne: A Multi-Country Smartphone Sensor Dataset for Everyday Life Behavior Modeling. Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies. |
Project Identifier | 004.AAAD.AAG.** |
Download request email | datadistribution.knowdive@unitn.it |
Dataset Type | Diachronic-Interactions |
Data Collection Start Date | 2021-05-26 |
Data Collection End Date | 2021-08-12 |
Publication Date | 2023-11-30 |
Language | Not Applicable |
Dataset Size | 0.48 MB |
Domain | Digital University |
File Format | parquet |
5-Star Rating | 3 |
Dataset Identifier | 004.AAAD.AAG.CG |