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). In this project, we aim to investigate perception-enhanced techniques that leverage multiple channels (visual, tactile, auditory, etc.) to improve the awareness of the data attributes.