68 citations · 155 across the 15 of their papers we have counts for
5 papers · 1 filter
Deep Learning of Individual Aesthetics
Jon McCormack, Andy Lomas
Accurate evaluation of human aesthetic preferences represents a major challenge for creative evolutionary and generative systems research. Prior work has tended to focus on feature…
A scriptable, generative modelling system for dynamic 3D meshes
Jon McCormack, Ben Porter, James Wetter
We describe a flexible, script-based system for the procedural generation and animation of 3D geometry. Dynamic triangular meshes are generated through the real-time execution of s…
Mirror Ritual: An Affective Interface for Emotional Self-Reflection
Nina Rajcic, Jon McCormack
This paper introduces a new form of real-time affective interface that engages the user in a process of conceptualisation of their emotional state. Inspired by Barrett's Theory of…
Mirror Ritual: Human-Machine Co-Construction of Emotion
Nina Rajcic, Jon McCormack
Mirror Ritual is an interactive installation that challenges the existing paradigms in our understanding of human emotion and machine perception. In contrast to prescriptive interf…
Understanding Aesthetic Evaluation using Deep Learning
Jon McCormack, Andy Lomas
A bottleneck in any evolutionary art system is aesthetic evaluation. Many different methods have been proposed to automate the evaluation of aesthetics, including measures of symme…