EN FR
Homepage Inria website


Section: New Results

Embedded Data Representations

Participants : Wesley Willett, Yvonne Jansen, Pierre Dragicevic [correspondant] .

Figure 4. From left to right: A desktop setting with non-situated visualization. A situated visualization of the same data on a tablet in the store itself. An embedded visualization overlays the data on top of individual products as a heat map. An embedded physicalization displays data by changing properties of the shelves themselves.
IMG/situated-store.jpg

We introduced embedded data representations, the use of visual and physical representations of data that are deeply integrated with the physical spaces, objects, and entities to which the data refers. Technologies like lightweight wireless displays, mixed reality hardware, and autonomous vehicles are making it increasingly easier to display data in-context. While researchers and artists have already begun to create embedded data representations, the benefits, trade-offs, and even the language necessary to describe and compare these approaches remain unexplored. In our paper [18], we formalized the notion of physical data referents – the real-world entities and spaces to which data corresponds – and examined the relationship between referents and the visual and physical representations of their data. We differentiated situated representations, which display data in proximity to data referents, and embedded representations, which display data so that it spatially coincides with data referents. Drawing on examples from visualization, ubiquitous computing, and art, we explored the role of spatial indirection, scale, and interaction for embedded representations. We also examined the tradeoffs between non-situated, situated, and embedded data displays, including both visualizations and physicalizations. Based on our observations, we identified a variety of design challenges for embedded data representation, and suggested opportunities for future research and applications.

More on the project Web page: yvonnejansen.me/embedded.