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2020-DiversityOne-Amrita-Diachronic-Interactions Edit

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.

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License 2023 LivePeople Licence
Project title 2020-DiversityOne-Amrita
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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

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