‘Subjectivity’ and the Designer’s Intuition The emotional or ‘affective’ qualities of space have long been referred to as ‘intangible’ and ‘subjective’ aspects that cannot easily be empirically analyzed. Designers thus rely heavily on their own intuitive processes when dealing with
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‘Feeling Spaces’: Machine Learning for Predictive Emotion Analysis
CAADRIA 2020: Machine Learning for Affective Analysis
For the past couple of months, I’ve been engaged in development of a machine learning driven design assistance framework for the affective analysis of spatial enclosures. The framework relies on data pertaining to emotional response patterns in spatial enclosures which
Read moreResearch: The Logic at Work behind the Magic of Space
In May 2019, I presented a body of research titled “An Empirical Inquiry into the Affective Qualities of Virtual Spatial Enclosures in Head Mounted Display driven VR Systems: The Logic at Work Behind the Magic of Space” at the 7th eCAADe Regional
Read moreResearch published at eCAADe + SIGraDi 2019
My research paper titled: An Empirical Inquiry into the Perceptual Qualities of Spatial Enclosures in Head Mounted Display Driven VR Systems was published at the joint conference of eCAADe (Education and Research in Computer Aided Architectural Design in europe) and
Read more‘Do You Like It?’: Machine Learning and Aesthetic Judgement
Do You Like It? Can machines be made to silently ‘learn’ our aesthetic preferences? Can we empirically decode our intuitive likes and dislikes? Can the game of numbers intrude upon the world of art? Can creativity, in turn, be mechanized?
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