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Our project aims to examine whether it is feasible to build machine learning classifiers that can effectively predict an upcoming psychiatric hospitalization given social media data from platforms unseen in the classifiers' training data, despite the preliminary evidence on identity fragmentation between Facebook, Twitter, and Instagram. It also aims to explain any discrepancies in performance that are found during analysis between intra- and inter-platform classification.

LuminAI is an interactive art installation that explores the improvisation of proto-narrative movement between humans and virtual AI agents using full body, expressive, movement-based interaction. Interactors can co-create movement with an autonomous virtual agent that learns movement, response, and improvisation directly from interacting with human teachers. It analyses their movement using Viewpoints movement theory.

A CAPTCHA is a challenge-response test used on the Internet to prevent bots from accessing web services that are designed for humans. We are investigating Automatic Game based CAPTCHA Generation (AGCG), in which an AI system generates games that, when played, distinguish between humans and bots. The game based CAPTCHA takes advantage of not only the bots' difficulty performing pattern/object recognition, but also their lack of commonsense knowledge. Thus it is more secure but remains easy and fun for humans, compared to traditional visual based CAPTCHAs.