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We examine the utility of implicit user behavioral signals captured using low-cost, o -the-shelf devices for anonymous gender and emotion recognition. A user study designed to examine male and female sensitivity to facial emotions con rms that females recognize (especially negative) emotions quicker and more accurately than men, mirroring prior ndings. Implicit viewer responses in the form of EEG brain signals and eye movements are then examined for existence of (a) emotion and gender-speci cdoi:10.1145/3136755.3136790 dblp:conf/icmi/BilalpurKCCS17 fatcat:uqwv23vgbzhchjjo2yftw3igo4