Using cognition for improving visual thinking process in CAD systems (Visual recognition role in future of Computer Aid Design)

In next 20 years more will change around the way we do our work than its happened over the last two thousand, in fact we are in the beginning of a new age in human history. There have been four major historical eras defined by the way we work, think and design. Together age lasted several million years, then the agricultural age lasted several thousand years, the industrial age lasted a couple of centuries and the information age has lasted just a few decades, and today we are on the cusp of the next great era as species, Augmented age, the effective use of information technology in augmenting human intelligence. The growing impact of digital design technologies on design and production has resulted in the need for re-examining current procedures to guide future developments. Dynamo, Grasshopper and Sverchok and many other computational design platforms, either cognitively augmented or not are all passive; they need to be told what to do. In product design Efficient communication between designer and modeling software improves the effectiveness of design process, but still, to have an active communication; visual recognition is the missing boundary. The importance of re-cognitive lopes still needs to be investigated more, to achieve an effective level of human computer interaction in design emergent field. In this research cognitive augmentation is used to improve a perceptual thinking model from existing passive to an active cyclic process that mediates between design intentions and represented designed solutions. The presented research tries to define a new perceptual map based on a direct analogy between the work-flow of Autodesk Dream catcher and the cognitive model of visual thinking in studies of Rivka Oxman in design emergent. The final revised model is intended to improve visual recognition of the CAD system, regarding improvement of designer computer interaction.