CSEE professor Cynthia Matuszek was interviewed on her research on gender bias in online images associated with occupations by the CBC Spark radio program on technology trends.

The research was published in a recent paper, Unequal Representation and Gender Stereotypes in Image Search Results for Occupations, that was recognized as a best paper in the 2015 ACM CHI Conference. This conference is considered the most prestigious in the field of human–computer interaction, and is one of the top ranked computer science conferences.

Professor Matuszek does research on robotics and natural language processing and combines these two interests to build better human-robot interaction systems and to study the underlying problem of grounded language acquisition, i.e., how robots (and people!) can extract semantically meaningful representations of human language by mapping those representations to the noisy, unpredictable physical world in which they operate.