Parallel Development of Parametric Design Models Using Subjunctive Dependency Graphs

Therefore, one important future challenge for software developers is to make optimization tools more accessible and more easily used by practitioners, but without compromising the rigor of use that is required to achieve valid results. The anticipated increase in adoption of optimization tools has the potential to bring substantial benefits not only to architects and building engineers but also to the users and owners of buildings, and thereby address wider economic and sustainability concerns.

[1]  Ben Shneiderman,et al.  Creativity support tools: accelerating discovery and innovation , 2007, CACM.

[2]  Elizabeth D. Mynatt,et al.  Recognizing creative needs in user interface design , 2002, Creativity & Cognition.

[3]  Kasper Hornbæk,et al.  Subjunctive interfaces: Extending applications to support parallel setup, viewing and control of alternative scenarios , 2008, TCHI.

[4]  William Buxton,et al.  Ten CAD challenges , 2005, IEEE Computer Graphics and Applications.

[5]  Scott R. Klemmer,et al.  Design as exploration: creating interface alternatives through parallel authoring and runtime tuning , 2008, UIST '08.

[6]  Sungdo Ha,et al.  Computer-Human Interaction, 8th Asia-Pacific Conference, APCHI 2008, Seoul, Korea, July 6-9, 2008, Proceedings , 2008, Asia-Pacific Computer and Human Interaction.

[7]  Marian Petre,et al.  Usability Analysis of Visual Programming Environments: A 'Cognitive Dimensions' Framework , 1996, J. Vis. Lang. Comput..

[8]  Robert Woodbury,et al.  Elements of Parametric Design , 2010 .

[9]  Antero Taivalsaari.  Classes Versus Prototypes: Some Philosophical and Historical Observations , 1997, J. Object Oriented Program..

[10]  Paul Shepherd,et al.  Aviva Stadium: A Parametric Success , 2011 .

[11]  Sivam Krish,et al.  A practical generative design method , 2011, Comput. Aided Des..

[12]  Paul A. Beardsley,et al.  Design galleries: a general approach to setting parameters for computer graphics and animation , 1997, SIGGRAPH.

[13]  Herbert A. Simon,et al.  The Structure of Ill Structured Problems , 1973, Artif. Intell..

[14]  Robert Aish,et al.  Multi-level Interaction in Parametric Design , 2005, Smart Graphics.

[15]  Sambit Datta,et al.  Erasure in Design Space Exploration , 2000, AID.

[16]  Brady Peters,et al.  2008 'The Copenhagen Elephant House: A Case Study of Digital Design Processes,' , 2008 .

[17]  Ömer Akin,et al.  Design protocol data and novel design decisions , 1995 .

[18]  Bernhard E. Riecke,et al.  Design space exploration in parametric systems: analyzing effects of goal specificity and method specificity on design solutions , 2011, C&C '11.

[19]  Amnon H. Eden,et al.  Classes Versus Prototypes: Some Philosophical and Historical Observations. , 1997 .

[20]  Scott R. Klemmer,et al.  Where do web sites come from?: capturing and interacting with design history , 2002, CHI.

[21]  Elizabeth D. Mynatt,et al.  Variation in element and action: supporting simultaneous development of alternative solutions , 2004, CHI.

[22]  John S. Gero,et al.  Computational models of creative design IV , 1999 .