2018/08/02 by Trevor Buteau, Buteau, Trevor, Damian Lyons +1
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #cs.AI #cs.HC
paper · pdf · doi:10.48550/arxiv.1808.00981
Submitted for SIGCHI ICMI 2018's Late-Breaking-Work track
arxiv created 2018/08/02 · arxiv updated 2018/08/06
Prior efforts to create an autonomous computer system capable of predicting what a human being is thinking or feeling from facial expression data have been largely based on outdated, inaccurate models of how emotions work that rely on many scientifically questionable assumptions. In our research, we are creating an empathetic system that incorporates the latest provable scientific understanding of emotions: that they are constructs of the human mind, rather than universal expressions of distinct internal states. Thus, our system uses a user-dependent method of analysis and relies heavily on contextual information to make predictions about what subjects are experiencing. Our system's accuracy and therefore usefulness are built on provable ground truths that prohibit the drawing of inaccurate conclusions that other systems could too easily make.