220 likes | 388 Views
Tim Holmes & Johannes Zanker. Establishing the drivers of aesthetic preference is hard! “ Aesthetic phenomena are among the most complex phenomena within the domain of psychology, and this is often used as an excuse by psychologists for being able to say so little about them.”
E N D
Establishing the drivers of aesthetic preference is hard! “Aesthetic phenomena are among the most complex phenomena within the domain of psychology, and this is often used as an excuse by psychologists for being able to say so little about them.” Gustav Fechner (1865) IT’s A JUNGLE OUT THERE
Reductionism destroys the “gestalt”... IT’s A JUNGLE OUT THERE
... and frequently ignores context! IT’s A JUNGLE OUT THERE
Historical reliance on self-report measures Not always reliable Subject to bias (Nisbett & Wilson, 1977; Wilson & Schooler, 1991) Objective measures needed MRI/EEG/Eye-Tracking (Vessel, Starr, & Rubin, 2009; de Tommaso, et al., 2008; Santella & DeCarlo, 2004) IT’s A JUNGLE OUT THERE
GDEA developed during PhD Evolutionary Algorithm (Darwinian) Competition for limited resource Genetic inheritance Survival of the fittest (Holmes & Zanker 2008, Proc. GECCO) Fitness determined for the complete phenotype based on aesthetic preferential looking measure (Holmes & Zanker 2012 i-Perception) Tested on GR/Colour Shape/Grouping/Op-Art/Commercial Packaging GAZE DRIVEN EVOLUTION
Never tested with “organic” phenotypes Special Effect (game) software accessibility GDEA as a creative tool? Taking it to the streets... Live Science BA Grant (yay!) WHY DINOSAURS?
Initial Population USE DNA FROM FITTEST PARENTS TO CREATE NEW OFFSPRING MUTATIONS INTRODUCE NOVELTY GAZE DATA FROM EYE-TRACKER PROVIDES FITNESS THIS IS USED TO IDENITFY THE FITTEST PARENTS (BEST DINOSAURS) Fitter Population THE “GDEA” EvolvingPopulation
ESTABLISHING FITNESS 1000ms 2500-5000ms 250ms 4 samples per generation
CAN’T SPELL DINOSAUR WITHOUT D...N...A Colour (R,G,B) Body (Type, Height,Width, Orientation) Number of spots Spines (Number, Height) Back Legs (Type, Height, Width) Front Legs (Type, Height, Width) Tail (Length, Thickness, Curvature) Neck (Length, Thickness, Curvature) Head (Type, Height, Width, Orientation) 1,073,234,313,200,000,000,000,000,000,000,000 dinosaurs!
THE SET-UP Briefing GDEA 2AFC Tobii X120 eye-tracker Tobii Toolbox for Matlab v1.1 19” 4x3 screen @ 1024x768 1408 Participants (N=748 usable) 5-76yo (Mean = 21) 43 Nationalities
COLOUR ME... Uniform? Generation 10 Dinosaur colours (N=748)
We expected clustering in colours from subject matter... ...wide distribution suggests preferred colour was dominating rather than best colour for a dinosaur If colour preference driving preference, we might have expected lots of blue dinosaurs The most consistently preferred colour in self-report R,G,B levels in self report closer to evolved for females DISCUSSION
Lost a lot of data: Set-up Environment Still lots more analysis to be done... Aesthetics: Age effects on colour & head/eye/body ratios Effects of presentation duration on performance Cultural differences - 43 different nationalities Eye-movements DISCUSSION
Methodology facilitates research into complex interactions Participants liked it! 78% didn’t get tired/bored Clear potential for development as a creative tool BUT...
GDEA being applied to Mondrians (RHUL), Symmetry (Liverpool/RHUL) and commercially (Acuity) NEW Matlab/Tobii Toolbox supports full gaze contingency meaning... real time feedback on gaze interactive stimuli (animation, sound) RHUL Baby Lab testing the methodology in pre-verbal infants Future Testing with Special Effect SEQUELS IN THE MAKING?
My team of explorers: Johannes Zanker Szonya Durant Alice Lowenhoff Hayley Thair ElinaNikolaidou Jade Jackson Felix Zanker Gary Dalton Lee Webster My support: End CREDITS
Questions? Live Science Website still up... www.pc.rhul.ac.uk/sites/insightfromyoursight New Matlab Tobii Toolbox... Launches with SDK 3.2 in 2012 Workshop this afternoon tim@acuity-intelligence.com for details Thanks for listening...