2020-DiversityOne-Amrita-Time Diaries Edit
The dataset contains a table for storing received answers from the user to the different types of contributions such as tasks for random time questions and time diaries for fixed frequency questions. It is part of Wenet Diversity 1 data collection, which contains data about the everyday life activities of students coming from 8 different universities located in China, Denmark, India, Italy, Mexico, Mongolia, Paraguay and UK. The data were collected via questionnaires, data coming from 26 smartphone sensors associated to thousand self-reported annotations over a period of 4 weeks.
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| 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 |
| Sensor Name | Time Diaries |
| Dataset Type | Diachronic-Interactions |
| Sensor Type | |
| Data Collection Start Date | 2021-05-26 |
| Data Collection End Date | 2021-08-12 |
| Publication Date | 2023-11-30 |
| Language | Not Applicable |
| Dataset Size | 0.49 MB |
| Domain | Digital University |
| File Format | parquet |
| 5-Star Rating | 3 |
| Dataset Identifier | 004.AAAD.AAG.CG |