Empirical Assessment of the Suitability of Visual Variables to Achieve Notarial Tasks Established from 3D Condominium Models

This study investigates the preference and the performance of certain visual variables (color hue and saturation, value, texture) and visual enhancement techniques (adding labels, moving elements, transparency) for achieving specific notarial tasks involving a 3D cadastral model. The case study is a complex condominium building modeled in 3D on which six notarial tasks are explored (viewing the geometric limits of the 3D lots, locating a specific 3D lot inside the building, distinguishing the 3D lot and the associated building, distinguishing the private and common parts of the condominium, understanding certain spatial relationships). The approach is based on face-to-face interviews with notaries using various prebuilt 3D geometric models of the condominium displayed on a computer screen. From various visual variables and visual enhancement techniques, notaries had to answer specific questions like “how many lots do you see”. Depending on the notary’s response the variable is marked as performing successful when verification is available or preferred when only a subjective and professional opinion is available. The preliminary results based on four interviews show that color is the visual variable most appreciated by notaries, regardless of the 3D visualization task. The use of transparency is helpful only in few cases, specifically when reading annotation (official measures). However, confusion arises when too extensive a geometry of 3D lots is viewed simultaneously, 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) also seems promising and adding elements appears to be required. Furthermore, an explicit comparison is proposed between our results and three main references about graphic semiology (Bertin, Carpendale and Ware). This comparison enables us to verify our results and to assess whether the fitness of visual variables is specific to notarial tasks and 3D visualisation (compared to 2D plans). Although this interview-based approach is subjective and empirical, it helps us better consider the end-user’s interests and take into consideration their professional opinion and requirements. At the same time, this study was an excellent and unique promotional platform concerning 3D cadastral modeling. As well, the 30 visual solutions produced during these first experiments constitute a useful foundation for further analysis.

[1]  Peter Ekbäck,et al.  Towards a Theory of 3D Property Rights : With an Application to Nordic Legislation , 2011 .

[2]  J. Pouliot,et al.  3D Cadastre in the Province of Quebec: A First Experiment for the Construction of a Volumetric Representation , 2011 .

[3]  Matthias Trapp,et al.  Interactive Rendering Techniques for Highlighting in 3D Geovirtual Environments , 2011 .

[4]  Jacynthe Pouliot,et al.  Visualization Principles in 3D Cadastre: A First Assessment of Visual Variables , 2012 .

[5]  Łukasz Halik The analysis of visual variables for use in the cartographic design of point symbols for mobile Augmented Reality applications , 2012 .

[6]  Abbas Rajabifard,et al.  Aspects of 3D cadastre: a case study in Victoria , 2011 .

[7]  Simone Garlandini,et al.  Evaluating the Effectiveness and Efficiency of Visual Variables for Geographic Information Visualization , 2009, COSIT.

[8]  M. S. T. Carpendale,et al.  Considering Visual Variables as a Basis for Information Visualisation , 2003 .

[9]  Susanne Bleisch,et al.  3D GEOVISUALIZATION – DEFINITION AND STRUCTURES FOR THE ASSESSMENT OF USEFULNESS , 2012 .

[10]  Mark Gahegan,et al.  Visualizing Geospatial Information Uncertainty: What We Know and What We Need to Know , 2005 .

[11]  Thomas H. Kolbe,et al.  Advances in 3D geo-information sciences , 2011 .

[12]  A. MacEachren,et al.  Research Challenges in Geovisualization , 2001, KN - Journal of Cartography and Geographic Information.

[13]  Colin Ware,et al.  Information Visualization: Perception for Design , 2000 .

[14]  Diego Alfonso Erba Application of 3D Cadastres as a Land Policy Tool , 2012 .

[15]  Cynthia A. Brewer,et al.  Mapping Mortality: Evaluating Color Schemes for Choropleth Maps , 1997 .

[16]  K. Koffka Principles Of Gestalt Psychology , 1936 .

[17]  Lorenz Hurni,et al.  Proposed Cartographic Design Principles for 3D Maps: A Contribution to an Extended Cartographic Theory , 2008, Cartogr. Int. J. Geogr. Inf. Geovisualization.

[18]  Bernice E. Rogowitz,et al.  How not to lie with visualization , 1996 .

[19]  Jürgen Döllner,et al.  Using 3D in Visualization , 2005 .