Research Area: Visual Representation and Reasoning in Design

 

Designing in most design disciplines involves visual reasoning. This research area is concerned with developing computational representations of visual images and computational models of visual reasoning in designing. The primary interest lies in qualitative representations and reasoning of two-dimenisonal and three-dimensional representations. This will allow us to develop computational tools that support visual reasoning and to increase the range of application of computational constructs in designing.

We have developed a model of visual emergence ("seeing" shapes or images that are not intentioanlly represented): this covers both emergence and supervenience. We have been able to show how different architectural styles can be measured from the drawings of their designs. We have been able to measure the informational differences in different representations of the same visual image.

Projects include;
  • qualitative representations of shapes
  • qualitative spatial representations
  • logic models of spatial reasoning
  • models of visual emergence
  • measuring information in visual representations
  • bond graph models of spaces and their use
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    Publications

    Papers that describe some of the research methods and some of the main fundings
    • Damski, J and Gero, JS (1998) Object representation and reasoning using halfplanes and logic, in JS Gero and F Sudweeks (eds), Artificial Intelligence in Design '98, Kluwer, Dordrecht, pp. 107-126. (pdf)
    • Gero, JS and Jun, H (1998) Emergence of shape semantics of architectural shapes, Environment and Planning B: Planning and Design 25(4): 577-600. (pdf)
    • Gero, JS and Kazakov, V (2001) Entropic similarity and complexity measures for architectural drawings, in JS Gero, B Tversky and T Purcell (eds), Visual and Spatial Reasoning in Design II, Key Centre of Design Computing and Cognition, University of Sydney, Sydney, pp. 147-161. (pdf)
    • Gero, JS and Kazakov, V (2004) On measuring the visual complexity of 3D objects, Journal of Design Sciences and Technology 12(1): 35-44. (pdf)
    • Jupp, J and Gero, JS (2006) Towards computational analysis of style in architectural design, Journal of the American Society for Information Science 57(11): 1537-1550. (pdf)

    Those that describe this research in more detail include:

    • Cha, MY and Gero, JS (1998) Shape pattern recognition using a computable shape pattern representation, in JS Gero and F Sudweeks (eds), Artificial Intelligence in Design '98, Kluwer, Dordrecht, pp. 169-188. (pdf)
    • Gero, JS and Damski, J (1997) A symbolic model for shape emergence, Environment and Planning B: Planning and Design 24: 509-526. (pdf)
    • Gero, JS and Jun, H (1995) Getting computers to read the architectural semantics of drawings, in L Kalisperis and B Kolarevic (eds), Computing in Design: Enabling, Capturing and Sharing Ideas, ACADIA, Washington, pp. 97-112. (pdf)
    • Gero, JS and Kazakov, V (2003) On measuring the visual complexity of 3D solid objects, in B Tuncer, S Ozsariyildiz and S Sariyilidiz (eds), e-Activities in Design and Design Education, Europia, Paris, pp 147-156. (pdf)
    • Gero, JS and Yan, M (1993) Discovering emergent shapes using a data-driven symbolic model, in U Flemming and S Van Wyk (eds), CAAD Futures'93, North-Holland, Amsterdam, pp. 3-17. (pdf)
    • Jupp, J and Gero, JS (2004) Qualitative representation and reasoning about shapes and spatial relationships, in JS Gero, B Tversky and T Knight (eds), Visual and Spatial Reasoning in Design III, Key Centre of Design Computing and Cognition, University of Sydney, pp. 139-162. (pdf)
    • Park, S-H and Gero, JS (1999) Qualitative representation and reasoning about shapes, in Gero, JS and Tversky, B (eds), Visual and Spatial Reasoning in Design, Key Centre of Design Computing and Cognition, University of Sydney, Sydney, Australia, pp. 55-68. (pdf)
    • Tomlinson, P and Gero, JS (1997) Emergent shape generation via the boundary contour system, in R Junge (ed), CAAD Futures 1997, Kluwer, Dordrecht, pp. 865-874. (pdf)
    • Tsai, J and Gero, JS (2006) Qualitative approach to an energy-based unified representation for building design, in V Soebarto and P Marshallsay (eds), IBPSA2006, University of Adelaide, pp. 73-86. (pdf)

    For the rest you can scour my publications starting with those listed under In Progress.

    People

    The people who have or are working with me on this include:

    • Myong-Yeol Cha
    • Jose Damski
    • Lan Ding
    • Han Jun
    • Julie Jupp
    • Vladimir Kazakov
    • SooHoon Park
    • Rabee Reffat
    • Ricardo Sosa
    • Phil Tomlinson
    • Jerry Tsai

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