Stephane H. Maes

TL;DR: A portable client PDA with a touch screen or other equivalent user interface and having a microphone and local central processing unit (CPU) for processing voice commands and for processing biometric data to provide user verification is presented in this article.

TL;DR: In this article, a system and method for implementing conversational protocols for distributed conversational networking architectures and/or distributed conversations, as well as real-time conversational computing between network-connected pervasive computing devices and servers over a computer network is described.

TL;DR: In this paper, a method for performing focus detection, ambiguity resolution and mood classification in accordance with multi-modal input data, in varying operating conditions, in order to provide an effective conversational computing environment (418, 422) for one or more users (812).

TL;DR: In this paper, the authors present systems and methods for building distributed conversational applications using a Web services-based model where speech engines (e.g., speech recognition) and audio I/O systems are programmable services that can be asynchronously programmed by an application using a standard, extensible SERCP (speech engine remote control protocol), to provide scalable and flexible IP-based architectures that enable deployment of the same application or application development environment across a wide range of voice processing platforms and networks/gateways.

TL;DR: A conversational computing system that provides a universal coordinated multi-modal conversational user interface (CUI) across a plurality of conversationally aware applications (i.e., applications that'speak' conversational protocols) and conventional applications is described in this paper.