Abstract
Using transparency as a visual variable in 3D geo-visualization offers several advantages since it can encode underlying data and at the same time relieve the occlusion. However, the usability of transparency has yet to be tested with intended users and it might vary from one application domain to another or from one task to another. This research project addresses the usability of transparency in 3D cadastre visualization, more specifically whether it helps users delimit property units (administrative boundaries) with their physical counterparts (e.g., walls) in condominium situation. In this situation, three types of boundaries (simple physical, simple administrative, and linked boundary, which is both physical and administrative) are involved in visualization, and three different transparency levels are used to represent these types. Empirical tests are administered in the form of an online questionnaire for university students in law (notarial law) and land surveying. The results show that, in general, using three different transparency levels is preferable and efficient solution to help users demarcate property units with their physical counterparts, and 63% participants correctly achieved their visual tasks with this design. Also, the transparency settings influence user’s performance. For example, applying very high transparency to simple administrative boundaries as compared to simple physical boundaries improves user certainty. Another important discovery is that many university students in notarial law are inexperienced with 3D visualization, and such inexperience affects the viewer’s certitude when carrying out visual tasks.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.References
Colby G, Scholl L (1991) Transparency and blur as selective cues for complex visual information. In: Electronic Imaging’91. International Society for Optics and Photonics, San Jose, CA, pp. 114–125
Cheung B (2011) Using transparency in visualization. Master thesis. University of Alberta
Halik Ł (2012) The analysis of visual variables for use in the cartographic design of point symbols for mobile augmented reality applications. Geodesy and Cartography 61:19–30
MacEachren AM (1995) How maps work: representation, visualization, and design. Guilford Press
Correa CD, Chan Y-H, Ma K-L (2009) A framework for uncertainty-aware visual analytics. 2009 I.E. S Vis Anal. pp 51–58
D’Zmura M, Colantoni P, Knoblauch K, Laget B (1997) Color transparency. Perception 26:471–492
Metelli F, Da Pos O, Cavedon A (1985) Balanced and unbalanced, complete and partial transparency. Percept Psychophys 38:354–366
Elmqvist N (2007) Occlusion management in immersive and desktop 3d virtual environments : theory and evaluation. International Journal of Virtual Reality 6:1–13
Viola I, Kanitsar A, Groller M (2004) Importance-driven volume rendering. In: Proceedings of the conference on visualization’04. pp 139–146
Van Oosterom P, Stoter J, Fendel E (eds) (2001) Registration of properties in strata, international workshop on “3D cadastres.” International Federation of Surveyors, Delft, the Netherlands
Van Oosterom P, Fendel E, Stoter J, Streilein A (eds) (2011) Proceedings 2nd international workshop on 3D Cadastres, November, Delft, the Netherlands
Van Oosterom P, Guo R, Li, Ying, S, Angsüsser, S (eds) (2012) Proceedings 3rd international workshop 3D Cadastres: Developments and practices, October, Shenzhen, China, ISBN:978–87–92853-01-1 (published by International Federation of Surveyors).
Van Oosterom PJM, Fendel E (eds) (2014) Proceedings 4th international workshop on 3D Cadastres., November, Dubai, United Arab Emirates, ISBN 978–87–92853-20-5 (published by International Federation of Surveyors).
Stoter J (2004) 3D Cadastre. Ph.D. thesis. Delft University of Technology
Aien A, Rajabifard A, Kalantari M, Williamson I (2011) Aspects of 3D cadastre-A case study in Victoria. In: FIG working week. Marrakech, Morocco, 18–22 May 2011
Erba DA (2012) Application of 3D cadastres as a land policy tool. In: Land Lines, the quarterly Journal of the Lincoln Institute of Land Policy, 8–14 April 2012
Pouliot J, Roy T, Fouquet-Asselin G, Desgroseilliers J (2010) 3D cadastre in the province of Quebec: a first experiment for the construction of a volumetric representation. In: Kolbe, König, Nagel (eds) advances in 3D geo-information sciences, series: lecture notes in geoin- formation and cartography. Springer, Berlin, pp. 149–162
Van Oosterom P (2013) Research and development in 3D cadastres. Comput Environ Urban 40:1–6
Pouliot J, Wang C (2014) Visualization, distribution and delivery of 3D parcels. Position paper 4, 4th international workshop on 3D Cadastres, November, Dubai, United Arab Emirates Availabe from: http://www.gdmc.nl/3dcadastres/literature/3Dcad_2014_41.pdf
Guo R, Li L, Ying S, Jung J, Heo J (2013) Developing a 3D cadastre for the administration of urban land use: a case study of Shenzhen, China. Comput Environ Urban 40:46–55
Jeong D, Kim T, Nam D, Li HS, Cho HK (2011) A Review of 3D cadastre pilot project and the policy of 3D NSDI in the Republic of Korea. In: 2nd International Workshop on 3D Cadastres, 2011. pp 311–332
Karki S, Thompson R, Mcdougall K, Cumerfort N, Van Oosterom P (2011) ISO land administration domain model and LandXML in the development of digital survey plan lodgement for 3D cadastre in Australia. In: 2nd International Workshop on 3D Cadastres, 2011. pp 65–84
Shojaei D, Rajabifard A, Kalantari M, Bishop ID (2012) Development of a 3D ePlan / LandXML visualisation system in Australia. Proceedings of the 3rd International Workshop on 3D Cadastres: Developments and Practices. pp 273–288
Vandysheva N, Sapelnikov S, Van Oosterom P, De Vires M, Spiering B, Wouters R, Hoogeven A, Penkov V (2012) The 3D cadastre prototype and pilot in the Russian Federation. In: FIG working week 2012. Rome, Italy, pp. 6–10
Wang C, Pouliot J, Hubert F (2012) Visualization principles in 3D cadastre : a first assessment of visual variables. In: Proceedings of the 3rd International Workshop on 3D Cadastres: Developments and Practices. pp 309–324
Pouliot J, Wang C, Hubert F, Fuchs V (2014) Empirical assessment of the suitability of visual variables to achieve notarial tasks established from 3D condominium models. Innovations in 3D Geo-Information Sciences. Springer International Publishing. pp 195–210
Bertin J (1983) Semiology of graphics: diagrams, networks, maps. University of Wisconsin press
Häberling C, Bär H, Hurni L (2008) Proposed cartographic design principles for 3D maps: a contribution to an extended cartographic theory. Cartographica: International Journal for Geographic Information and Geovisualization 43:175–188
Carpendale M (2003) Considering visual variables as a basis for information visualisation Available from: https://cdn.mprog.nl/dataviz/excerpts/w2/Carpendale_Considering_Visual_Variables.pdf
Jobst M, Kyprianidis J, Döllner J (2008) Mechanisms on graphical core variables in the design of cartographic 3D city presentations. In: geospatial vision. Springer, Berlin Heidelberg, pp. 45–59
Roth RE, Woodruff AW, Johnson ZF (2010) Value-by-alpha maps: an alternative technique to the cartogram. Cartogr J 47:130–140
Herbert G, Chen X (2014) A comparison of usefulness of 2D and 3D representations of urban planning. Cartogr Geogr Inf Sci 42:22–32
Elmqvist N, Assarsson U, Tsigas P (2009) Dynamic transparency for 3D visualization: design and evaluation. Int J Virt Real 1(8):65–78
Chan M-Y, Wu Y, Mak W-H, Chen W, Qu H (2009) Perception-based transparency optimization for direct volume rendering. IEEE T Vis Comput Gr 15:1283–1290
Singh M, Anderson BL (2002) Toward a perceptual theory of transparency. Psychol Rev 109:492–519
Motoyoshi I (2010) Highlight-shading relationship as a cue for the perception of translucent and transparent materials. J Vis 10:6
Hillstrom AP, Wakefield H, Scholey H (2013) The effect of transparency on recognition of overlapping objects. J Exp Psychol Appl 19:158–170
Rogowitz B, Treinish L, Bryson S (1996) How not to lie with visualization. Comput Phys:1–16
Haklay M (2010) How good is volunteered geographical information? A comparative study of OpenStreetMap and ordnance survey datasets. Environ Plann B 37:682–703
Aien A, Kalantari M, Rajabifard A, Williamson I, Wallace J (2013) Towards integration of 3D legal and physical objects in cadastral data models. Land Use Policy 35:140–154
Shojaei D, Kalantari M, Bishop I, Rajabifard A, Aien A (2013) Visualization requirements for 3D cadastral systems. Comput Environ Urban 41:39–54
Green M (1998) Toward a perceptual science of multidimensional data visualization: Bertin and beyond. ERGO/GERO Human Factors Science:1–30
Wallach D, Scholz SC (2012) User-Centered Design: Why and how to put users first in software development. Software for People, Management for Professionals 11–39
Lazar J, Feng DJH, Hochheiser DH (2009) Research methods in human-computer interaction. Wiley
ISO 9241–11 (1998) Ergonomic requirements for office work with visual display terminals (VDTs)-Part 11: Guidance on usability. The international organization for standardization (ISO)
Stone M, Bartram L (2008) Alpha, contrast and the perception of visual metadata. Color and Imaging Conference
Porter T, Duff T (1984) Compositing digital images. ACM SIGGRAPH Computer Graphics 18:253–259
Wilkening J, Fabrikant S (2013) How users interact with a 3D geo-browser under time pressure. Cartogr Geogr Inf Sci 40:40–52
Hegarty M, Canham M, Fabrikant S (2010) Thinking about the weather: how display salience and knowledge affect performance in a graphic inference task. Journal of experimental psychology. Learning, memory, and cognition 36:37–53
Andrienko N, Andrienko G, Voss H, Bernardo F, Hipolito J, Kretchmer U (2002) Testing the usability of interactive maps in CommonGIS. Cartogr Geogr Inf Sci 29(4):325–342
Bates D, Maechler M, Bolker B, Walker S (2013) lme4: linear mixed-effects models using Eigen and S4. R package version
Hothorn T, Bretz F, Westfall P (2008) Simultaneous inference in general parametric models. Biometrical J 50:346–363
Hosmer DW, Lemeshow S (2000) Applied logistic regression. Wiley
Wulff SS (2007) SAS for mixed models. Am Stat 61(2):184–185
Pinheiro J, Bates D, DebRoy S, Sarkar D, Core R (2007) Linear and nonlinear mixed effects models. R package version 3:57
Slinker BK, Glantz SA (2008) Statistical primer for cardiovascular research. World Wide Web-Internet And Web Information Systems pp:1732–1737
D’Zmura M, Rinner O, Gegenfurtner KR (2000) The colors seen behind transparent filters. Perception 29:911–926
Fleming RW, Jakel F, Maloney LT (2011) Visual perception of thick transparent materials. Psychol Sci 22:812–820
Anderson BL (2003) The role of occlusion in the perception of depth, lightness, and opacity. Psychol Rev 110:785–801
Jennings BK, Miller GA (1990) On color transparency. Phys Lett B 236:209–213
Anderson BL, Singh M, Meng J (2006) The perceived transmittance of inhomogeneous surfaces and media. Vis Res 46:1982–1995
Acknowledgements
We express our gratitude to the Natural Sciences and Engineering Research Council of Canada for funding this research program (RGPIN-2009-240822).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Wang, C., Pouliot, J. & Hubert, F. How users perceive transparency in the 3D visualization of cadastre: testing its usability in an online questionnaire. Geoinformatica 21, 599–618 (2017). https://doi.org/10.1007/s10707-016-0281-y
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10707-016-0281-y