The Mobile Territorial Lab: a multilayered and dynamic view on parents’ daily lives

Centellegher, Simone; Nadai, Marco De; Caraviello, Michele; Leonardi, Chiara; Vescovi, Michele; Ramadian, Yusi; Oliver, Núria; Pianesi, Fabio; Pentland, Alex; Antonelli, Fabrizio; Lepri, Bruno

doi:10.1140/epjds/s13688-016-0064-6

Cited by 24 publications

(24 citation statements)

References 55 publications

(1 reference statement)

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“…Smartphones are increasingly used to study people's daily lives, tracking among others social interactions or mobility routines [10]. The largest bulk of studies using smartphones to collect data is to be found in health studies.…”

Section: Data Collection Via Smartphonesmentioning

confidence: 99%

Advancing sustainability: Using smartphones to study environmental behavior in a field-experimental setup

Spaiser

Luzzatti

Gregoriou

2019

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Ecological sustainability is the defining challenge of our time. Here we suggest a methodological approach that could help to investigate how environmental behavior (transport behavior, energy consumption, food consumption, goods consumption, wasting) dilemmas can be overcome on an individual level in real life by using smartphones to collect daily behavioral data in a field-experimental setup. Previous related studies are reviewed and we discuss how the boundaries of what can be done with smartphones for data collection and experimental purposes can be pushed further to allow for complex behavioral studies. Results from a pilot study are presented to discuss the feasibility and potential of this approach. The pilot shows that studying social dilemma behavior via smartphones is feasible and has potential value as a behavioral intervention tool.

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Section: Data Collection Via Smartphonesmentioning

confidence: 99%

Advancing sustainability: Using smartphones to study environmental behavior in a field-experimental setup

Spaiser

Luzzatti

Gregoriou

2019

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“…The used dataset is part of the Mobile Territorial Lab [15]. However, symptoms and GPS tracks have not been released.…”

Section: Fundingmentioning

confidence: 99%

Are you getting sick? Predicting influenza-like symptoms using human mobility behaviors

et al. 2017

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Understanding and modeling the mobility of individuals is of paramount importance for public health. In particular, mobility characterization is key to predict the spatial and temporal diffusion of human-transmitted infections. However, the mobility behavior of a person can also reveal relevant information about her/his health conditions. In this paper, we study the impact of people mobility behaviors for predicting the future presence of flu-like and cold symptoms (i.e. fever, sore throat, cough, shortness of breath, headache, muscle pain, malaise, and cold). To this end, we use the mobility traces from mobile phones and the daily self-reported flu-like and cold symptoms of 29 individuals from February 20, 2013 to March 21, 2013. First of all, we demonstrate that daily symptoms of an individual can be predicted by using his/her mobility trace characteristics (e.g. total displacement, radius of gyration, number of unique visited places, etc.). Then, we present and validate models that are able to successfully predict the future presence of symptoms by analyzing the mobility patterns of our individuals. The proposed methodology could have a societal impact opening the way to customized mobile phone applications, which may detect and suggest to the user specific actions in order to prevent disease spreading and minimize the risk of contagion.

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“…The study was conducted within the Mobile Territorial Lab ( http://www.mobileterritoriallab.eu ), a joint initiative created by Telecom Italia, Fondazione Bruno Kessler, MIT Media Lab and Telefonica [ 54 ]. Following the Italian regulations, all participants were asked to sign an informed consent form and the study was conducted in accordance to it.…”

Section: Methodsmentioning

confidence: 99%

Network Diversity and Affect Dynamics: The Role of Personality Traits

Alshamsi¹,

Pianesi

Lepri

et al. 2016

PLoS ONE

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People divide their time unequally among their social contacts due to time constraints and varying strength of relationships. It was found that high diversity of social communication, dividing time more evenly among social contacts, is correlated with economic well-being both at macro and micro levels. Besides economic well-being, it is not clear how the diversity of social communication is also associated with the two components of individuals’ subjective well-being, positive and negative affect. Specifically, positive affect and negative affect are two independent dimensions representing the experience (feeling) of emotions. In this paper, we investigate the relationship between the daily diversity of social communication and dynamic affect states that people experience in their daily lives. We collected two high-resolution datasets that capture affect scores via daily experience sampling surveys and social interaction through wearable sensing technologies: sociometric badges for face-to-face interaction and smart phones for mobile phone calls. We found that communication diversity correlates with desirable affect states–e.g. an increase in the positive affect state or a decrease in the negative affect state–for some personality types, but correlates with undesirable affect states for others. For example, diversity in phone calls is experienced as good by introverts, but bad by extroverts; diversity in face-to-face interaction is experienced as good by people who tend to be positive by nature (trait) but bad for people who tend to be not positive by nature. More broadly, the moderating effect of personality type on the relationship between diversity and affect was detected without any knowledge of the type of social tie or the content of communication. This provides further support for the power of unobtrusive sensing in understanding social dynamics, and in measuring the effect of potential interventions designed to improve well-being.

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The Mobile Territorial Lab: a multilayered and dynamic view on parents’ daily lives

Cited by 24 publications

References 55 publications

Advancing sustainability: Using smartphones to study environmental behavior in a field-experimental setup

Advancing sustainability: Using smartphones to study environmental behavior in a field-experimental setup

Are you getting sick? Predicting influenza-like symptoms using human mobility behaviors

Network Diversity and Affect Dynamics: The Role of Personality Traits

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