Multimodal interaction enables the user to employ different modalities such as voice, gesture and typing for communicating with a computer. This paper presents an analysis of the ...
Machine learning is an increasingly used computational tool within human-computer interaction research. While most researchers currently utilize an iterative approach to refining ...
iary models in order to bridge the semantic gap between high-level, abstract user requirements and low-level, concrete programs and to support a stepwise refinement process. This d...
Abstract. This paper presents an experimental test bed for exploring and evaluating human-robot interaction (HRI). Our system is designed around the concept of playing board games ...
The development of intelligent assistants has largely benefited from the adoption of decision-theoretic (DT) approaches that enable an agent to reason and account for the uncertai...
Bowen Hui, Sean Gustafson, Pourang Irani, Craig Bo...