A team of Department of Computer Science (CS) faculty and graduate students won the Best Paper Award at the 2019 IEEE Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS) Conference in Rennes, France on October 23, 2019.

A critical next step in AI system development is applying common-sense knowledge to infer and react to a situation as a human would. When people communicate with each other, they don’t need to explicitly say everything about a situation to decide what an appropriate action would be. Humans can understand what is inferred, even when details are left out. Stony Brook researchers are leading a collaborative project to teach AI systems to make such interpretations.

Stony Brook Department of Computer Science Professor Xiaojun Bi and his collaborators won Best Paper at ACM Symposium on User Interface Software and Technology (UIST 2019) a premier conference in the technical Human Computer Interaction community. The award-winning paper, entitled TipText: Eyes-Free Text Entry on a Fingertip Keyboard, covers their invention of this new text entry system. Only one percent of submissions to UIST 2019 were selected to receive Best Paper awards.