SmartUnitn(One): 72 students were selected from the ones enrolled at University of Trento in the Academic year 2015-2016. The students were asked to attend an introductory presentation where they are presented with the aims of the project and how to use the i-Log application. If they wished to participate, after the presentation they signed a consent form, and then installed i-Log on their own smartphones. The project lasted two weeks: during the first one, students were asked to answer a time diary on their smartphone about their time use every 30 minutes, while the application was collecting sensor data in the background. During the second week they were only required to have the application running for collecting sensor data. Overall, the resulting 110 Gb dataset is fully semantic, and also merged both with socio-demographic characteristics of students obtained through surveys and academic performance data from the administrative office of the University of Trento.

 

Beginning: October 2016

End: November 2016

Where: Trento

Number of participants: 72

Data collected: smartphone sensor data and time diary answers on daily activties, locations and people encountered.

Total data collected: 110 GB

 

SmartUnitn(Two): 300 students from the University of Trento were contacted and selected and provided with a link to download i-Log from the Play Store. The project lasted 4 weeks: during the first two, students had to answer a time diary on their smartphone about their time use plus their current mood every 30 minutes,  while the application was collecting sensor data in the background. In addition, students answered a specific question administered in the morning and in the evening to predict and evaluate their mood thorughout the day, respectively. During the last two weeks, students received the time diaries and the mood questions only every 2 hours. Overall, the resulting 1 Tb dataset is fully semantic, and also merged both with socio-demographic characteristics of students obtained through surveys and academic performance data from the administrative office of the University of Trento.

Beginning: May 2018

End: June 2018

Where: Trento

Number of participants: 300

 

Data collected: smartphone sensor data, time diary answers on daily activties, locations and people encountered, and mood.

Total data collected: 1 TB

 

QROWD: 25 citizens from the Municipality of Trento were involved to provide information about their mobility habits in order to calculate their modal split, i.e., the percentage of travellers using a particular type of transportation or number of trips using said type. After being selected for sampling reasons, the citizens downloaded the i-Log app from the Play Store and kept it running to record their movements. At the end of each day, the users were presented with a series of questions asking about their daily trips and how they performed them.

 

Beginning: April 2018

End: October 2019

Where: Trento

Number of participants: 25

Data collected: smartphone sensor data and questionnaires on users' mobility habits.

Total data collected: 30 GB