A Conceptual Model for Data Collection and Analysis for AR-based Remote Collaboration Evaluation

A significant effort has been devoted to the creation of the enabling technology and in the proposal of novel methods to support remote collaboration using Augmented Reality (AR), given the novelty of the field. As the field progresses to focus on the nuances of supporting collaboration and with the growing number of prototypes mediated by AR, the characterization and evaluation of the collaborative process becomes an essential, but difficult endeavor. Evaluation is particularly challenging in this multifaceted context involving many aspects that may influence the way collaboration occurs. Therefore, it is essential the existence of holistic evaluation strategies that monitor the use and performance of the proposed solutions regarding the team, its members, and the technology, allowing adequate characterization and report of collaborative processes. As a contribute, we propose a conceptual model for multi-user data collection and analysis that monitors several collaboration aspects: individual and team performance, behaviour and level of collaboration, as well as contextual data in scenarios of remote collaboration using AR-based solutions.