AQUARIA: Assistive Querying in Augmented Reality for Interactive Analytics

This study introduces a novel system designed for the exploration and visualization of maritime data, aimed at enhancing decision-making, particularly in identifying unlawful maritime activities. The system fosters collaboration across diverse expertise and data requirements by merging augmented reality (AR) head-worn display with both individual and communal touchscreen interfaces. Through an iterative process, we developed capabilities for visual languages querying and visualizing maritime data over time and space, employing both a node-link visual query language and hands-on geospatial interactions for selections, filters, and queries. Evaluations through cognitive walkthroughs by professionals in interaction design and maritime fields revealed the effectiveness and intuitiveness of our direct manipulation approach, though some discrepancies were noted between user expectations and the node-link query process. We suggest advanced AR techniques to enhance the intuitive use of direct manipulation in data queries and to more closely integrate map visuals with query components. Further refinement of our system was achieved through detailed cognitive walkthroughs with experts in interface design and maritime data. This comprehensive assessment, involving 8 key tasks and 38 actions over two phases, highlighted the vital role of accurate spatial and temporal data filtering in maximizing the efficiency and user experience of AR-enhanced maritime tools. Effective data management is crucial for the system's performance and ensuring smooth, engaging interactions for users.