Mobile applications can easily collect and analyse data to understand how users navigate their interfaces, and therefore create more personalized services based on individual profiles.

In recent years, new technologies like virtual reality (VR) or augmented reality (AR) have attracted more interest from the public because they enable interactions in 3D space rather than in 2D screens. Instead of just clicking and scrolling on a screen, these immersive interfaces can also capture user behaviour by measuring movement patterns and internal body reactions.

This PhD thesis project aims to understand which of these new data sources are more relevant to model users’ behaviour and design more effective 3D applications. Until now, the results include a set of frameworks to facilitate the collection of behavioural data in virtual environments and several data science algorithms to identify groups of users based on their interactions and movement patterns.

This is Luis Quintero’s PhD thesis project.
Uno Fors is the supervisor, and Panagiotis Papapetrou and Jaakko Hollmén are the co-supervisors.