This third edition is the single largest, most complete compilation of HCI theories, principles,
advances, case studies, and more, that exist within a single volume. It captures the current …

More recent multimodal systems have moved away from processing simple mouse or
touchpad pointing, and have begun designing systems based on two parallel input streams …

If the audience of GDC was polled to list the most common AI techniques applied to games,
undoubtedly the top two answers would be A* and Finite State Machines (FSMs). Nearly …

The ability to map descriptions of scenes to 3D geometric representations has many
applications in areas such as art, education, and robotics. However, prior work on the text to …

We envision a future in which conversational virtual agents collaborate with humans in
games and training simulations. A representation of common ground for everyday scenarios …

Voice interaction is increasingly common in digital games, but it remains a notoriously
difficult modality to design a satisfying experience for. This is partly due to limitations of …

Introduction In CoSy, our robots were to be able to interact with human. These interactions
served to help the robot learn more about its environment, or to plan and carry out actions …

In this paper, we propose a novel unsupervised learning method for the lexical acquisition of
words related to places visited by robots, from human continuous speech signals. We …

While identifying the intention of an utterance has played a major role in natural language
understanding, this work is the first to extend intention recognition to the domain of …

The article presents an implemented model for interpreting situated dialogue, as part of a
system for human-robot interaction. The underlying assumption is that to understand …