Smartphone use, social interactions and digital well-being in a nationally representative sample of young adults.

The project analyzes the habits of 240 boys and girls in Spain through an innovative methodological approach in the social sciences in Spain: the Experience Sample Methodology. Experience Sample Method (ESM). This allows the development of an experimental study with long surveys and an intensive collection of data through short daily questionnaires. Likewise, the time employee will be recorded in different applications to obtain the data on the use goal. The study includes the implementation of an intervention aimed at reducing smartphone use.

The framework of addiction has dominated the field of media effects, leading to result the pathologization of everyday life and the conceptualization of digital well-being as the absence of "addiction symptoms". Today, evidence indicates that the use of cell phones has no effect on well-being. In view of this, it is urgent to development innovative methodological research capable of better exploring the relationship between people and their smartphones.

In a context of interaction between positive and negative experiences, the team understands digital well-being as an optimal and delicate balance between connection and disconnection. This balance depends on different variables and researchers must consider temporal variability and specificity staff, following an idiographic approach to study everyday life.

Since the generalization of smartphones and social networks, research has focused considerably on the social domain, given that both are intrinsically embedded in people's social relationships. Social networking activity further complicates these issues: people can interact with others regardless of time and place constraints. This means that they must find ways to weave these online exchanges with their offline activities.

1) How do smartphones generate communication episodes that support and challenge social interactions in everyday life?

2) How does young adults' smartphone use change during a 14-day intervention?

3) What impact do these changes have on social interactions and well-being?

4) Which is the profile of the subjects whose balance between connectivity and disconnection is most benefited by the set of interventions?