Theory of Optimal Experimental Manipulation for Psychological Traits of Stimuli Using Generative Networks with Application to Face Images

We introduce a mathematical theory of optimal experimental manipulation that enables maximal change in psychological traits of various stimuli using generative networks. Across three studies (N = 417) we demonstrate superior performance over existing approaches for face image manipulation, particularly for previously unattainable increase in valence-laden impressions.