Conceptual spatial representations for indoor mobile robots

We present an approach for creating conceptual representations of human-made indoor environments using mobile robots. The concepts refer to spatial and functional properties of typical indoor environments. Following findings in cognitive psychology, our model is composed of layers representing maps at different levels of abstraction. The complete system is integrated in a mobile robot endowed with laser and vision sensors for place and object recognition. The system also incorporates a linguistic framework that actively supports the map acquisition process, and which is used for situated dialogue. Finally, we discuss the capabilities of the integrated system

Utilización de los sistemas de diálogo hablado para el acceso a la información en diferentes dominios

Ponencias de la Segunda Conferencia internacional sobre brecha digital e inclusión social, celebrada del 28 al 30 de octubre de 2009 en la Universidad Carlos III de MadridLa acción de conversar es el modo más natural para resolver un gran número de acciones cotidianas entre los seres humanos. Por este motivo, un interés histórico dentro del campo de las Tecnologías del Habla ha sido utilizar estas tecnologías en aplicaciones reales, especialmente en aplicaciones que permitan a una persona utilizar su voz para obtener información mediante la interacción directa con una máquina o para controlar un determinado sistema. El objetivo es disponer de sistemas que faciliten la comunicación persona-máquina del modo más natural posible, es decir, a través de la conversación. En esta comunicación se resumen los resultados de la aplicación de estas tecnologías para el desarrollo de diferentes sistemas de diálogo en los que la interacción entre el usuario y el sistema se lleva a cabo mediante habla espontánea en castellano. Para su implementación se ha primado la utilización de diferentes herramientas de software libre para el reconocimiento automático del habla, compresión del lenguaje natural, gestión del diálogo y síntesis de texto a voz. De este modo, el objetivo principal de la comunicación es presentar las principales ventajas que proporcionan los sistemas de diálogo para facilitar el acceso a diferentes servicios dentro de dominios semánticos restringidos, qué posibilidades brinda el uso de herramientas de software libre para su implementación y su evaluación en diferentes casos concretos de aplicación

Natural interaction with a virtual guide in a virtual environment: A multimodal dialogue system

This paper describes the Virtual Guide, a multimodal dialogue system represented by an embodied conversational agent that can help users to find their way in a virtual environment, while adapting its affective linguistic style to that of the user. We discuss the modular architecture of the system, and describe the entire loop from multimodal input analysis to multimodal output generation. We also describe how the Virtual Guide detects the level of politeness of the user’s utterances in real-time during the dialogue and aligns its own language to that of the user, using different politeness strategies. Finally we report on our first user tests, and discuss some potential extensions to improve the system

Collaborative model of interaction and Unmanned Vehicle Systems' interface

The interface for the next generation of Unmanned Vehicle Systems should be an interface with multi-modal displays and input controls. Then, the role of the interface will not be restricted to be a support of the interactions between the ground operator and vehicles. Interface must take part in the interaction management too. In this paper, we show that recent works in pragmatics and philosophy provide a suitable theoretical framework for the next generation of UV System's interface. We concentrate on two main aspects of the collaborative model of interaction based on acceptance: multi-strategy approach for communicative act generation and interpretation and communicative alignment

MULTIMODAALNE SUHTLUS KEELEÕPPE JA -KASUTUSE TEENISTUSES

Artiklis antakse ülevaade TÜ eesti keele võõrkeelena osakonna teadusuuringutest, mis on seotud multimodaalse suhtluse uuringute grupi tegevusega, sealjuures koostööga germaani-romaani-slaavi filoloogia instituudiga, ning mida toetab Eesti Teadusfondi grandiprojekt. Mõned osakonna töötajad on kaasatud Põhjamaade ülikoole siduvasse PlaceME projekti, mille uurimisvaldkonnad on seotud osakonna doktorantide teemadega diskursusuuringute ja multimodaalse suhtluse meetodite rakendamise läbi. Meetodeid saab kasutada suhtluspädevuste ja suhtlusstrateegiate analüüsis ja edendamises, keeleõppes ja keelekasutuse uuringutes

Towards Integration of Cognitive Models in Dialogue Management: Designing the Virtual Negotiation Coach Application

This paper presents an approach to flexible and adaptive dialogue management driven by cognitive modelling of human dialogue behaviour. Artificial intelligent agents, based on the ACT-R cognitive architecture, together with human actors are participating in a (meta)cognitive skills training within a negotiation scenario. The agent  employs instance-based learning to decide about its own actions and to reflect on the behaviour of the opponent. We show that task-related actions can be handled by a cognitive agent who is a plausible dialogue partner.  Separating task-related and dialogue control actions enables the application of sophisticated models along with a flexible architecture  in which  various alternative modelling methods can be combined. We evaluated the proposed approach with users assessing  the relative contribution of various factors to the overall usability of a dialogue system. Subjective perception of effectiveness, efficiency and satisfaction were correlated with various objective performance metrics, e.g. number of (in)appropriate system responses, recovery strategies, and interaction pace. It was observed that the dialogue system usability is determined most by the quality of agreements reached in terms of estimated Pareto optimality, by the user's negotiation strategies selected, and by the quality of system recognition, interpretation and responses. We compared human-human and human-agent performance with respect to the number and quality of agreements reached, estimated cooperativeness level, and frequency of accepted negative outcomes. Evaluation experiments showed promising, consistently positive results throughout the range of the relevant scales

A flexible and reusable framework for dialogue and action management in multi-party discourse

This thesis describes a model for goal-directed dialogue and activity control in real-time for multiple conversation participants that can be human users or virtual characters in multimodal dialogue systems and a framework implementing the model. It is concerned with two genres: task-oriented systems and interactive narratives. The model is based on a representation of participant behavior on three hierarchical levels: dialogue acts, dialogue games, and activities. Dialogue games allow to take advantage of social conventions and obligations to model the basic structure of dialogues. The interactions can be specified and implemented using reoccurring elementary building blocks. Expectations about future behavior of other participants are derived from the state of active dialogue games; this can be useful for, e. g., input disambiguation. The knowledge base of the system is defined in an ontological format and allows individual knowledge and personal traits for the characters. The Conversational Behavior Generation Framework implements the model. It coordinates a set of conversational dialogue engines (CDEs), where each participant is represented by one CDE. The virtual characters can act autonomously, or semi-autonomously follow goals assigned by an external story module (Narrative Mode). The framework allows combining alternative specification methods for the virtual characters\u27; activities (implementation in a general-purpose programming language, by plan operators, or in the specification language Lisa that was developed for the model). The practical viability of the framework was tested and demonstrated via the realization of three systems with different purposes and scope.Diese Arbeit beschreibt ein Modell für zielgesteuerte Dialog- und Ablaufsteuerung in Echtzeit für beliebig viele menschliche Konversationsteilnehmer und virtuelle Charaktere in multimodalen Dialogsystemen, sowie eine Softwareumgebung, die das Modell implementiert. Dabei werden zwei Genres betrachtet: Task-orientierte Systeme und interaktive Erzählungen. Das Modell basiert auf einer Repräsentation des Teilnehmerverhaltens auf drei hierarchischen Ebenen: Dialogakte, Dialogspiele und Aktivitäten. Dialogspiele erlauben es, soziale Konventionen und Obligationen auszunutzen, um die Dialoge grundlegend zu strukturieren. Die Interaktionen können unter Verwendung wiederkehrender elementarer Bausteine spezifiziert und programmtechnisch implementiert werden. Aus dem Zustand aktiver Dialogspiele werden Erwartungen an das zukünftige Verhalten der Dialogpartner abgeleitet, die beispielsweise für die Desambiguierung von Eingaben von Nutzen sein können. Die Wissensbasis des Systems ist in einem ontologischen Format definiert und ermöglicht individuelles Wissen und persönliche Merkmale für die Charaktere. Das Conversational Behavior Generation Framework implementiert das Modell. Es koordiniert eine Menge von Dialog-Engines (CDEs), wobei jedem Teilnehmer eine CDE zugeordet wird, die ihn repräsentiert. Die virtuellen Charaktere können autonom oder semi-autonom nach den Zielvorgaben eines externen Storymoduls agieren (Narrative Mode). Das Framework erlaubt die Kombination alternativer Spezifikationsarten für die Aktivitäten der virtuellen Charaktere (Implementierung in einer allgemeinen Programmiersprache, durch Planoperatoren oder in der für das Modell entwickelten Spezifikationssprache Lisa). Die Praxistauglichkeit des Frameworks wurde anhand der Realisierung dreier Systeme mit unterschiedlichen Zielsetzungen und Umfang erprobt und erwiesen