Despite a lot of work analyzed mobile device usage, app switching is still an overlooked interaction, which can be improved in contemporary smartphones. In addition, "digital wellbeing" is emerging as a critical issue, with researchers envisioning various approaches and strategies to tackle it.

This thesis explores the adoption of proactive suggestions of meaningful app-switching behaviors, to promote the development of meaningful mobile interactions and, consequently, discouraging habitual patters that negatively influence users’ digital wellbeing. In particular, the goal of this thesis is to design, develop, and evaluate an Android app (in the form of an interactive widget) able to suggest which app(s) the user is going to open next. This suggestion could start from contextual information (e.g., the time or the location), from habitual smartphone usage, from interaction with notifications, or from the Android's share sheet, to make some examples. Furthermore, the new app should be able to differentiate between meaningful and not meaningful interactions, e.g., by collecting explicit feedback from the user or by exploiting previously-defined classifications.

The thesis has the possibility to build upon previous work from the research group, e.g., http://hdl.handle.net/11583/2867117. The evaluation of the developed app will focus on the efficacy of the adopted approaches in the recommendation process and on their presentation.