1. Painting with Picasso: Modeling Perceptual Logic CCDC 2011 Nick Davis, Pramod Gupta, Shruti Gupta

2. What would you draw next?

8. Perceptual Logic Every individual has a unique intuition of how to combine lines or objects in a way that feels right

9. Motivation Empirically test whether perceptual logic exist Can a computer learn an individual’s perceptual logic?

10. Goals Define a framework to model an individual’s perceptual logic Create a generative-interactive art program based on this framework

11. The Framework Identify how a particular person reacts to different objects, shapes, and lines

12. The Framework Extract distinguishing information from features such as those outlined in Suwa & Tversky (1997) –Spaces –Shape –Angle –Size –Spatial Relations Local Position Global Position

13. Generative-Interactive Art Program A program that emulate an artist in the ‘exquisite corpse’ style collaborative art process –Using a pre-defined set of shapes So what? –Artist lives forever –Collaborate with famous artists –Better understanding of the creative process

14. Methodology Phase 1: Use framework to learn an individual’s perceptual logic –Analyze user’s response to generated set of shapes Phase 2: Convert perceptual logic to generative art heuristics –React to user input Phase 3: Simulate exquisite corpse style collaborative art process

15. Seeing-As Goldschmidt’s (1991) concept of seeing an image as something else. –Can our program map components of a sketch to an image? ?

16. Alchemy This function of our program is similar to what was discussed in: –Karl D.D. Willis and Jacob Hina. Alchemy: experiments in interactive drawing, creativity & serendipity (C&C ‘09) Mapping images onto groups of shapes

17. Computational Aesthetics Automate the process of selecting aesthetically pleasing variations of evolutionary art –Based on artist style –Gary R. Greenfield. Computational Aesthetics as a Tool For Creativity (C&C ‘05)