Your Mouse Reveals Your Gender and Age

When we navigate a webpage, it is fairly easy for our mouse movement to be tracked and collected. Today, Luis Leiva, a Professor of Computer Science discusses how these mouse tracking data can be used to predict age, gender and user attention. He also discusses the privacy concerns with mouse tracking data and possible ways it can be curtailed.

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Luis Leiva: Luis A. Leiva is a professor of Computer Science at the University of Luxembourg, where he leads the Computational Interaction research group. He is the co-founder and former CTO of Sciling, an SME agency specialized in B2B Machine Learning solutions. His research interests lie at the intersection of Human-Computer Interaction and Machine Learning. His main research area is computational interaction, where he combines computational thinking with data-driven models and methods to enable, explain, and support user interaction.