Personal tools
You are here: Home Publikationen Dokumente
Document Actions

index_html

Up one level
A Dialogue Strategy for Supporting the User in Spoken Human-Machine Interaction
Spoken human-machine interaction supported by state-of-the-art dialogue systems is still related to various problems that might occur in the communication. This paper addresses some aspects of design and implementation of dialogue strategies aimed to support the user to overcome such problems. We discuss which knowledge resources related to the interaction should be taken into account in order to make the system able to select and apply an appropriate dialogue strategy. We consider four interaction features: the focus of attention, the state of the task, the state of the user and the history of interaction. In addition, we report the design and the implementation of a dialogue strategy that is related to the computerized version of the Tower-of-Hanoi puzzle. We show how the interaction features can be engaged in order to conclude when to provide support to the user, what kind of support should be provided, and how to provide it.
A Web-Based Environment to Support Teaching of Programming Paradigms
 
Adaptive Dialogue Management in the NIMITEK Prototype System
 
An approach to processing of user’s commands in human-machine interaction
In spoken human-machine interaction users often produce ”irregular” (e.g., elliptical or minor, etc.) utterances. Forcing them to always produce complete utterances would be too restrictive. Thus, there is a need to develop structures and algorithms that support system’s decision making processes when it is confronted with such user inputs. This paper proposes an approach to processing of user’s commands in human-machine interaction. Attentional information is already recognized as crucial for processing of utterances in discourse. We model attentional information on the level of a user’s command and introduce rules for transition of the focus of attention. Although we also report an implementation for a task-specific scenario, the described modeling method and the introduced rules are intended to be task-independent.
Diplomarbeit Bernstein
 
Diplomarbeit Bernstein (PostScript)
 
Diplomarbeit Brandt (PostScript)
 
Diplomarbeit Denecke
Strukturanalyse von Dokumenten im E-Commerce
Diplomarbeit Dervaric
Erkennung und Behandlung von Plagiaten bei Lösungen zu Übungsaufgaben
Diplomarbeit Ginkel
 
Diplomarbeit Karius
 
Diplomarbeit Schattat
 
Diplomarbeit Schulze
 
Diplomarbeit Schwank
 
Diplomarbeit Schöpp (PostScript)
 
Diplomarbeit Severt
 
Diplomarbeit Wang
 
Diplomarbeit Wang (PostScript)
 
Diplomarbeit Wäsche
 
Emotion Adaptive Dialogue Management in Human-Machine Interaction
Although we witness the rapid increase of research interest in affected user behavior, it still turns out to be a challenge for developers of spoken dialogue systems. Researches in this domain are usually primarily concentrated on the detection of emotional user behavior. However, less attention is devoted to another important research question—how to enable dialogue systems to overcome problems in the interaction related to affected user behavior. This paper addresses this research question. The aim of this paper is twofold. First, it introduces an approach to achieve emotion adaptive dialogue management in human-machine interaction. The focal point of this approach is placed on dynamic definition of appropriate dialogue strategies aimed to support the user to overcome problems occurring in the interaction. Second, this paper reports the implementation of a dialogue management module incorporated in the NIMITEK prototype spoken dialogue system.

Powered by Plone, the Open Source Content Management System