We build the generic methodology based on machine learning and reasoning to detect the patterns of interaction between conflicting agents, including humans and their assistants. L...
Abstract. Cognitive Dialogue Management is a novel approach to Dialogue Management which proposes a novel architecture for building up advanced interactive interfaces in natural la...
—This research aims to enable robots to learn from human teachers. Motivated by human social learning, we believe that a transparent learning process can help guide the human tea...
User models can be useful for improving dialogue management. In this paper we analyze human-robot dialogues that occur during uncontrolled interactions and estimate relations betw...
For flexible interactions between a robot and humans, we address the issue of automatic recognition of human emotions during the interaction such as embarrassment, pleasure, and af...