Bio

Julian Hough is a Lecturer in the Cognitive Science group in the School of Electronic Engineering and Computer Science at Queen Mary University of London (QMUL). Hough received his PhD at QMUL before working at Bielefeld University as a post-doc. Hough researches dialogue modelling and dialogue systems with a focus on incremental processing and disfluency.

Research interests

Julian Hough is a researcher who builds computational models of human communication with natural language and physical action from human-human data, and then implements them in artificial systems to make interaction more natural. Hough makes the claim that anyone who is afraid that Artificial Intelligence is a done deal, the Turing Test is solved and that the machines are coming for us is welcome to interact with state-of-the-art systems which interpret and generate speech and gesture- they will probably walk away rather relieved, and with more understanding as to why research into this area is still required.

Hough's particular focus is on incremental processing and interactive responsiveness. This includes analyzing the units of meaning in spoken conversation and making machines process using these same units, looking at how people 'make mistakes' in communication, and how best machines can recover from these situations.