Immersive and Situated Analytics (ISA’23)

The field of immersive analytics has gained significant attention in recent years, particularly in natural sciences where users need to explore and understand complex three-dimensional spatial data.

In immersive analytics, the combination of situated visualization and embodied interaction can be a powerful tool for exploring complex data in real-time. By creating visualizations that are contextually situated within a physical space, users can better understand the data they are working with and make more informed decisions. By incorporating embodied interaction, users can engage with the data in a more natural and intuitive way, allowing them to explore the visualization in a more immersive and interactive manner. Situated analytics (SA) is a method of interactive exploration for multi-dimensional data in AR. SA allows two-way dialogue between the user, the real world, and the information space, illuminating the divide between the virtual and the physical context. With the increased amount of data collection and processing, SA is a promising tool for data analysis.

This workshop aims to address the challenges of Situated Visualizationand Embodied Interaction, as well as the more integrated topic of Situated Analytics (SA). The workshop will be structured into two distinct parts:

In the morning, we will focus on the research talks in the direction of situated visualization, embodied interaction and immersive analytics. It starts with two keynote presentations, focusing on immersive visualization environments (IVE) and situated analytics (SA) for digital twins. After that, we will have 10 paper presentations, focusing on creative ideas for situated visualization, interaction and analytics design.

In the afternoon, we will focus on the potential impact of situated visualization and embodied interaction techniques on situated analytics (SA) within the context of user decision-making for digital twin applications. The afternoon session is organized as a hands-on interactive brainstorming session, enabling attendees to experience SA challenges and try solution concepts.

Advances in digitization of industry, cities, healthcare, and most otheraspects of human life provide a rich source of real-world information, creating digital twins. Situated Analytics can be used to analyze digital twins for decision making. We aim to exchange research about situated analytics for digital twins, including applications, limitations, and challenges.