Objectives

The goal of this campaign is to collect user mobility data for a period of three months (from April 2018 to June 2018). In addtion, the participants will have to answer two survey questionnaires regarding their mobility behaviours and perception regarding data privacy. The mobility data will be collected via an iOS application running on the phones in the background. The theoretical significance of the study and planned projects with this dataset are detailed in this document.

Selection of the participants

The interested candidates who wish to participate in this study can sign up at the bottom of this page. In addtion, we will also recruit participants via the ORSEE database (UNIL). The candidates will have to answer a survey targeted at their mobility behavior(Link below!). Our goal is to select participants that would have different mobility patterns depending on location, means of transportation etc. We will also ask if they intend to change their smartphones or if they will be abroad for a long time or simply on a vacation during the next four months. These two aspects could have a strong impact on the quality of the dataset of participants. In order to eventually obtain around 100 high-quality mobility traces, we will therefore recruit around 130 participants in total.

We also plan to recruit around 25 students on an exchange program. We believe that the mobility behavior of erasmus students differ from regular students and we will attempt to gain insights in to these differences by using this dataset. This data will be used for the research projects described in this document.

Data Collection Procedure

Kickoff phase: Directly after the selection of all the participants, we will ask them to answer a preliminary survey to collect demographic data and information regarding their mobility behavior (gender, age, working type, means of transportation, etc.) as well as their perception of location privacy. We will also ask the participants if they know other participants already in the data collection campaign, i.e., friends or relatives.

Collection phase: We will provide the participants an iOS application that will run on their smartphone during the duration of the data collection campaign. The location data of each participant will be frequently captured and sent to a server located at UNIL to store them. For example, a location will be automatically caught if a participant moves more than five meters away from his/her previous location. In addition, we will also frequently capture WiFi and Bluetooth data during the collection phase. Finally, once per month, we will ask them to answer a survey regarding the means of transport they use during the day on a website located on our UNIL server.

Closing phase: At the end of this data collection campaign, we will ask each participant to answer a last survey in order to collect a ground truth composed of their points of interest as well as their new perception of location privacy. For example, the participants will have to indicate the locations where they spent a large part of their time (e.g., home place, work place…) or locations that are important for them on a daily basis (e.g., bus stop…). They will also have to label them in order to add a semantic aspect on each location.

Data quality

The quality of the collected location data is crucial because we highlighted that existing datasets found in the literature contain major gaps and are problematic to solve the research questions we want to address. To avoid gaps, the participants will regularly receive notifications (by e-mail or via the application) if they have a low battery level or if we detect that there is no location during a long period of time. These notifications will help us to mitigate the risk of not obtaining sufficiently high-quality data.

Data privacy

In order to ensure privacy of each participant, the data will be stored on secure UNIL servers using strong modern cryptographic techniques and strict access control policies (allowing only a few privileged researcher at UNIL to access the data). If we decide to share the entire dataset to the research community, it will be distributed according to a UNIL license and sanitized.

Monetary compensation

Please note that answering this survey does not gurantee a place as a participant in the data collection campaign. We will use this information for the selection of candidates based on certain criterias. All the selected participants who comply to the project norms will receive a financial compensation of 100.- CHF.

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