Whiteboards that Compute Goals and Challenges for System Designers

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Whiteboards that Compute: Goals and Challenges for System Designers Ryan Dixon & Timothy Sherwood UC Santa Barbara y = mx + b MathPad2 ASSIST ChemPad 50,000 years ago 50 years ago Flat Panel Display Growth 50,000 46” Substrate Area (cm2) 37,500 25,000 12,500 10” 90 93 95 00 02 03 05 07 20 19 19 19 20 20 20 Year Applied Materials AKT Large Area PECVD Capability 20 Projecting Flat Panel Display Growth Today Systems Challenges General purpose recognition framework Programming language-level support Efficient hypothesize-model-measure loop1 Board management 1. Alvarado Dynamically constructed bayes nets Why is This Hard? Handwritten input is noisy1 Even when input is perfect, we still face a combinatorial problem2 a single drawing can be interpreted differently as more domains are considered3 1 Mahoney Three main concerns in sketch recognition 2 Alvarado A Framework for multi-domain sketch recognition 3 GROSS Ambiguous Intentions: A Paper-like Interface for creative design Why is This Hard? Handwritten input is noisy1 Even when input is perfect, we still face a combinatorial problem2 a single drawing can be interpreted differently as more domains are considered3 1 Mahoney Three main concerns in sketch recognition 2 Alvarado A Framework for multi-domain sketch recognition 3 GROSS Ambiguous Intentions: A Paper-like Interface for creative design Why is This Hard? 4 1 3 2 Handwritten input is noisy1 Even when input is perfect, we still face a combinatorial problem2 a single drawing can be interpreted differently as more domains are considered3 1 Mahoney Three main concerns in sketch recognition 2 Alvarado A Framework for multi-domain sketch recognition 3 GROSS Ambiguous Intentions: A Paper-like Interface for creative design The Challenge Ideal Recognition User Drawing Potential Groupings Potential model matches Conclusions Final Output Ideal Recognition User Drawing Potential Groupings Potential model matches Conclusions Final Output Ideal Recognition User Drawing vs. Potential Groupings Potential model matches Conclusions Final Output Ideal Recognition User Drawing vs. Potential Groupings Potential model matches Conclusions Final Output Ideal Recognition User Drawing Potential Groupings Potential model matches Conclusions Final Output Recognition Loop User Drawing Potential Groupings Potential model matches Conclusions Final Output Recognition Loop User Drawing OR Potential Groupings Potential model matches Conclusions Final Output Recognition Loop User Drawing Potential Groupings Potential model matches Conclusions Final Output Recognition Loop OR User Drawing vs. XOR Potential Groupings Potential model matches Conclusions Final Output Language-Level Support Language-Level Support (define shape StickFigure (description "a stickfigure with two arms and two legs all sloping down at 45 degrees") (components (Circle head)(Line body) (Line larm)(Line rarm)(Line lleg)(Line rleg)) (alias (Line feet_space (new Line (lleg.p2 rleg.p2)))) (constraints (meet head body.p1)(!(intersect body head)) (is-rotatable) (vertical body) (meet body larm.p1) (meet body rarm.p1) (coincident larm.p1 rarm.p1) (acute larm body)(acute body rarm)(left-of larm rarm) (coincident body.p2 lleg.p1)(coincident body.p2 rleg.p1) (obtuse body lleg)(obtuse rleg body) (perpendicular larm rarm)(perpendicular lleg rleg) (near body.p1 rarm.p1)(parallel rarm rleg) (parallel larm lleg)(!(intersect feet_space body)) (equal-length lleg rleg) (equal-length larm rarm)) (bind ?head2 ?oa_head2)(bind ?head ?oa_head) Describing A Stick Figure (define shape StickFigure (description "a stickfigure with two arms and two legs all sloping down at 45 degrees") (components (Circle head)(Line body) (Line larm)(Line rarm)(Line lleg)(Line rleg)) (alias (Line feet_space (new Line (lleg.p2 rleg.p2)))) (constraints (meet head body.p1)(!(intersect body head)) (is-rotatable) (vertical body) (meet body larm.p1) (meet body rarm.p1) (coincident larm.p1 rarm.p1) (acute larm body)(acute body rarm)(left-of larm rarm) (coincident body.p2 lleg.p1)(coincident body.p2 rleg.p1) (obtuse body lleg)(obtuse rleg body) (perpendicular larm rarm)(perpendicular lleg rleg) (near body.p1 rarm.p1)(parallel rarm rleg) (parallel larm lleg)(!(intersect feet_space body)) (equal-length lleg rleg) (equal-length larm rarm)) (bind ?head2 ?oa_head2)(bind ?head ?oa_head) Describing A Stick Figure (define shape StickFigure (description "a stickfigure with two arms and two legs all sloping down at 45 degrees") (components (Circle head)(Line body) (Line larm)(Line rarm)(Line lleg)(Line rleg)) (alias (Line feet_space (new Line (lleg.p2 rleg.p2)))) (constraints (meet head body.p1)(!(intersect body head)) (is-rotatable) (vertical body) (meet body larm.p1) (meet body rarm.p1) (coincident larm.p1 rarm.p1) (acute larm body)(acute body rarm)(left-of larm rarm) (coincident body.p2 lleg.p1)(coincident body.p2 rleg.p1) (obtuse body lleg)(obtuse rleg body) (perpendicular larm rarm)(perpendicular lleg rleg) (near body.p1 rarm.p1)(parallel rarm rleg) (parallel larm lleg)(!(intersect feet_space body)) (equal-length lleg rleg) (equal-length larm rarm)) (bind ?head2 ?oa_head2)(bind ?head ?oa_head) Systems Challenges General purpose recognition framework Programming language-level support Efficient hypothesize-model-measure loop1 Board management 1. Alvarado Dynamically constructed bayes nets References AKT. (2005). AKT Large Area PECVD Capability, Retrieved July 3, 2007 from http:// www.appliedmaterials.com Dana Tenneson and Sascha Becker. ChemPad: Generating 3d Molecules from 2D Sketches. SIGGRAPH '05: ACM SIGGRAPH 2005 Posters, Pages 87, Los Angeles, California. Christine Alvarado and Randall Davis. Dynamically constructed bayes nets for multi-domain sketch understanding. In Proceedings of IJCAI-05, pages 1407-1412, San Francisco, California, August 1 2005. Joseph J. Laviola and Robert C. Zeleznik. Mathpad2: a system for the creation and exploration of mathematical sketches. ACM Trans. Graph., 23(3):432-440, August 2004. Tracy Hammond and Randall Davis. LADDER: A language to describe drawing, display, and editing in sketch recognition. In Proceedings of the 2003 International Joint Conference on Artificial Intelligence (IJCAI), pages 461-467, Acapulco, Mexico, 2003. J. Mahoney and M. Fromherz. Three main concerns in sketch recognition and an approach to addressing them, 2002. Christine Alvarado. A natural sketching environment: Bringing the computer into early stages of mechanical design. Master's thesis, MIT, 2000.

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