Cross-reality (CR) systems offer different levels of virtuality/physicality to users and enable them to move back and forth between the reality-virtuality continuums in a seamless way. Immersive augmented and virtual reality (AR/VR) head-mounted displays (HMDs) have become the main tools that enable cross-reality interaction.

Immersive analytics has become a significant research field with applications in natural sciences in contexts that require users’ understanding, exploration, and communication about high dimensional data. However, working with high-dimensional data is challenging due to complex data structures and its dimensionality. Cross-reality provides users with the possibility of switching visual representations between systems using different degrees of virtuality and allows users to interact with data across multiple technologies (such as AR/VR).

Cross-reality systems have the following four main characteristics: (1) enable multiple realities (virtual, reality); (2) smooth transition between realities; (3) multiple interaction techniques (touch, gesture); (4) collaboration between users using systems with multiple realities. However, research on cross-reality systems is still preliminary, and many questions remain to be explored. For instance, to design a cross-reality system, we may need to know users’ tasks, requirements, and their mental model (what is expected to show in different realities, and in which form).

The goal of the workshop is to provide an opportunity for researchers from VR/MR/AR, HCI, and Visualization fields to submit their original ideas, work-in-progress contribution, and position papers on the design of interactive techniques and systems for effective cross-reality visualization, interaction, and collaboration. The submissions should provide a clear focus on cross-reality technologies that enable effective interaction for single or multiple users in data analytics and visual exploration tasks. We are interested in the design space and considerations for such technologies, their implementation, and user evaluations with them.