Experiments With Notaries About the Semiology of 3d Cadastral Models

Abstract

ABSTRACT:Based on the hypothesis that 3D cadastral models are helpful for notaries, this study investigates the performance of visual variables for the visualization of 3D models. The approach undertaken uses face-to-face interviews with notaries involved in co-ownership establishment. A 3D geometric model of a complex condominium building is used as the studied case to which a selection of visual variables is applied. Thirty visual solutions are tested against six notarial visualization tasks and notaries are asked several questions. Based on the preliminary responses, we can now say that colour is the visual variable most appreciated by notaries, regardless of the visualization task. The use of transparency is helpful in many cases, more specifically when reading annotation (official measures). However, confusion arises when too extensive geometry of 3D lots is viewed simultaneously, and unnecessary when the geometry of the lots is fully visible. Moving the position of the geometry of a group of lots (by floor for example) looks also promising. Although this interview-based approach is subjective and empirical, it helps us to better consider the end-user's interests and take into consideration their professional opinion and requirements. The 30 visual solutions produced during these first experiments constitute a useful foundation for further analysis.

Enhanced 3D visualization techniques in support of indoor location planning

“…For some other visuals, such as network-based spider mapping and areal coverage, the demand flows can be enhanced by color-coded links or graduated symbols to disambiguate the representation. As also echoed by Pouliot et al (2013), transparency and color blending remain challenging issues in areal coverage displays when a polygon representing a room is covered by multiple devices. Volume coverage is an attractive adaptation to the three-dimensionality of indoor spaces, yet challenges remain to effectively represent complex coverage layouts (such as non-contiguity and non-compactness) as well as in the case of buildings with a large proportion of rooms without exterior walls.…”

“…3D visualization of geospatial information continues to present significant challenges (Pouliot, Wang, Fuchs, Hubert, & Bédard, 2013). First, effective 3D scenes are difficult to construct (appropriate angle, color, transparency, lighting, texturing must be calibrated) (Card, Mackinlay, & Schneiderman, 1999).…”

Towards a Normalised 3d Geovisualisation: The Viewpoint Management

“…In 2012, Wang et al (2012) (Pouliot et al, 2013;Pouliot et al, 2014a;Pouliot et al, 2014b). Based on notaries' interviews, their results highlighted that hue is one of the most encouraging variable for selectivity tasks.…”

Towards a Decision Support Tool for 3d Visualisation: Application to Selectivity Purpose of Single Object in a 3d City Scene

“…As a consequence, the 2D visualisation rules cannot be directly implemented in 3D models. This is why many researches have been conducted in the 3D semiotics field like (Foss et al, 2005), (Halik, 2012), (Wang et al, 2012), (Pouliot et al, 2013(Pouliot et al, , 2014a(Pouliot et al, , 2014b, (Rautenbach et al, 2015)… The researches of (Foss et al, 2005) and (Halik, 2012) analyse respectively the use of hue in 3D thematic maps and the efficiency of some visual variables in augmented reality applications displayed on smartphone. Based on an application field (cadastre, urban planning) and an interpretation task (e.g.…”

“…selectivity), the studies of (Pouliot et al, 2013(Pouliot et al, , 2014a(Pouliot et al, , 2014b, (Wang et al, 2012) and (Rautenbach et al, 2015) analyse the efficiency of some visual variables in 3D environments and conclude on some effective rules in 3D geovisualisation. For instance, (Pouliot et al, 2013(Pouliot et al, , 2014a(Pouliot et al, , 2014b and (Wang et al, 2012) highlight that hue is one of the most encouraging variable for selectivity tasks in 3D cadastre visualisation. In another context (urban planning), (Rautenbach et al, 2015) show that the most adapted variables for selectivity tasks are hue and texture.…”