iV-Morph

Complex data poses significant challenges for interactive visual analysis. Such datasets often consist of entities defined by a wide range of attributes, located in spatial contexts, and changing over time. Additionally, these entities are connected by relationships that can develop and shift dynamically. The combination of attributes, time, space, and relationships introduces multiple layers of complexity.

Traditionally, coordinated multiple views (CMV) are used to present multiple visual representations. In this approach, multiple dedicated visualizations are arranged side by side, with each view focusing on a particular data facet or a combination of facets. While this method enables users to examine different perspectives, it also has notable drawbacks. The difficulty for users is to integrate information across diverse visual representations, and coordination issues between views. Another key concern is context switching when users look from one view to another. Context switching can disrupt the analysis flow, increasing cognitive effort and hindering a seamless exploration of multifaceted data.

Given these limitations, our project, iV-Morph (Interactive Visual Metamorphosis), explores a different path to better support the exploration of complex, multifaceted data. Rather than displaying all visualizations at once, we are investigating the potential of presenting a single full-size view at a time, with smooth animated transitions between different visualization techniques as users interact with the data. This approach is designed to bridge both visual and conceptual gaps between different facets and representations through animations, reducing the cost of context switching and enabling a more fluid analytical process. To achieve this, we seek to investigate the following aspects:

• Develop shapeshifting views that can dynamically transform into any visualization form as needed.
• Create smooth animated transitions between different multi-faceted visual representations to reduce cognitive load.
• Support fluid and seamless exploration of complex data through integrated interactive techniques.
• Gain insight into the utility of interactive visual morphing

With iV-Morph, we aim to offer an alternative approach to exploring complex, multifaceted data, enhance user experience, and facilitate intuitive data insights.