2018-SmartUnitn2-Trento-App-usage Edit
SmartUnitn 2 (SU2) dataset collected personal data about the everyday life of 158 university students at University of Trento by i-Log application installed on their smartphones. The SU2 data contains (1) participants’ synchronic data about profile, e.g., demographics, routines, personality; (2) participants’ diachronic data over a period of four weeks, including data from 34 sensors, both hardware and software, associated to around 100+ thousand self-reported annotations from participants.
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| License | 2023 LivePeople Licence |
|---|---|
| Project title | 2018-SmartUnitn2-Trento |
| Project URL | View |
| Project web page | View |
| Project keywords | Academic Performance, Daily Routines, Lifestyle, Smartphone data, Sensor data |
| Project type | Data collection |
| Project start date | 2018-05-11 |
| Project end date | 2018-06-06 |
| Project funding agency | European Union’s Horizon 2020 WeNet project, under grant agreement 823783 |
| Project output | Datasets, Publications |
| Project coordinator | Fausto Giunchiglia |
| Project area | LivePeople |
| Project members | Ivano Bison, Mattia Zeni, Ronald Chenu Abente Acosta, Enrico Bignotti, Matteo Busso, Elisa Gobbi |
| Project target location | Trento (Italy) |
| Overall participants involved | 145 |
| Selected participants | 158 |
| Type of measurements | Questionnaire, Intensive Longitudinal Survey |
| IRB approval date | 2017-06-28 |
| IRB approval organization | CER UniTrento |
| IRB approval number | 2016-027 |
| Cite as | Fausto Giunchiglia, Matteo Busso, Mattia Zeni, Ivano Bison, A survey on students’ daily routines and academic performance at the University of Trento, University of Trento Technical Report. No. DISI-2001-DS-01, (2022) |
| Project Identifier | 002.AAAB.AAA.** |
| Dataset Type | Sensors |
| Data Collection Start Date | 2018-05-11 |
| Data Collection End Date | 2018-06-06 |
| Publication Date | 2023-04-07 |
| Language | English |
| Dataset Size | 156 MB |
| Domain | Digital University |
| File Format | parquet |
| 5-Star Rating | 3 |
| Dataset Identifier | 002.AAAB.AAA.AG-AH-AI-AJ |