Context Presentation

Over the last decades, the amount of data has increased to 29000 Go produced each second. Understanding the data requires tools to transform these numbers, texts and images into concrete representations. The field of data visualization aims to produce data representation to visualize and analyze abstract data. Building, people or vehicles produce a lot of data collected by many sensors. These specific data are related to a physical location (e.g. number of people in a room is related to the room, humidity in a floor is related to the floor, etc.) Bring and display them close from their physical context allow people to make a better representation of the data (Embedded Data Representations, Willet et al. , 2017)

In this project we aim to design interaction techniques to navigate and manipulate the data close to a physical referent. The main goal is to develop a full interactive physical model of the campus endowed with situated data.


Figure 1 : (left) TouchGlass project (Cabric et al. 2019) and (right) the design space of interaction techniques for physical referents endowed with situated data

Scientific Goals

- Conceptualize the Interaction Techniques With Situated Data and establish a design space

- design and evaluate interaction techniques with situated data

- Which interaction techniques could be designed to support an interactive scaled model of the campus with situated data ?


Phygital, model , situated data, design space

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