The Spatialization of Justifiers Experiment, a methodological exploration of how a 3D rendering can be exploited as an information visualization device
A 3D restitution is, in part, an analytical work aiming to propose a plausible spatial formulation (i.e. an interpretation) for a building that has disappeared in whole or in part, a formulation for a past T synchronous time.
It is also a more technical work, aiming at translating this spatial formulation into geometrical forms that are by definition assertive. Reading and decoding a 3D restitution, from the point of view of information and knowledge visualisation, implies carrying these choices of interpretation and technical translation into the resulting 3D model: this is the objective pursued in the development of this 'proof of concept' prototype.
This experiment is based on a methodological proposal made by Gaël Simon (UMR 7324 CITERES-LAT), the "justification matrices", which make it possible to associate "plausibility" indicators with the components of a 3D rendering. In other words, these matrices deliver information on the reason for a proposal present in the 3D model, a proposal that is concretised by 3D shapes given in given positions within the model. The justifiers' matrices summarise the "plausibility" of a rendering proposal in the form of four criteria forming the four lines of the matrix:
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existence (did the element really exist?),
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location (was it really there?),
.
shape (did it really have that shape?),
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size (was it really that large?)
For each line 4 values are possible, ranging from 1 (highest plausibility) to 3 (most uncertain proposal); the value 4 is used to indicate elements for which the plausibility analysis remains to be conducted.
The interface, developed by the UMR CNRS/MC 3495 MAP (L.Bergerot, I.Dudek, J.Y Blaise) re-uses the 3D restitution of four phases in the evolution of the Marmoutier Abbey hostelry carried out by the UMR 7324 CITERES-LAT and proposes three interaction modes:
. Selection of an object in the 3D model > display of the corresponding matrix
. Selection of a set of values (one per criterion, or line) in the matrix > display in the 3D model of the objects corresponding to this set of
values
. Selection of a row of the matrix (a criterion, for example "existence") > recolouring of the 3D scene according to the values of each object
for this criterion
The prototype also illustrates the notion of multi-granular analysis of renderings, differentiating between two granularities - individual objects (e.g. a bay) and groups (e.g. an alignment of bays).
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