Dual Perspective Visualization： A dual perspective design framework/design space for situated visualization

Situated visualization is an emerging data visualization genre that integrates data into relevant contexts by utilizing physical referents and environmental relationships to convey insights. As its use cases expand and public awareness grows, there is an increasing demand for structured design methodologies. Despite prior studies that explore the design space of existing designs, and technology-specific approaches, challenges remain in guiding real-world practices, especially for non-experts. Structural variations in domain partitioning, assumptions of static data use, and limited guidance on situatedness impede comprehensive design support. This paper addresses these issues by systematically exploring the design space of situated visualization. We first collected and analyzed a corpus of 229 cases, then proposed a design space organized around two perspectives and four dimensions. We conducted a preliminary workshop with 10 participants using the proposed design space. The results demonstrate its ability to foster divergent thinking and provide actionable guidance for creating situated visualization.

This is the overview design space for situated visualization.

Dual Perspective Visualization is an ongoing scientific research project. Currently, all the content has been revised. This is the version of the first draft, and it is expected to be submitted for publication.

Year：2025.