Conversational AI for Natural Human-Centric Interaction
12th International Workshop on Spoken Dialogue System Technology, IWSDS 2021, Singapore
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Chapter and Conference Paper
Evaluating a Spoken Argumentative Dialogue System
A natural way for humans to build an opinion on a topic is through the gathering and exchange of new arguments. Speech interfaces for argumentative dialogue systems (ADS) are rather scarce and quite complex. T...
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Chapter and Conference Paper
Towards Modelling Elaborateness in Argumentative Dialogue Systems
To provide an engaging and natural interaction with an argumentative dialogue system, we introduce a model to adapt the system utterances to the user’s communication style in an ongoing discussion. Therefore, ...
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Chapter and Conference Paper
Exploring the Mobile Usability of Argumentative Dialogue Systems for Opinion Building
Nowadays speech-driven interfaces such as mobile digital assistants and chatbots can support collaborative information seeking and are becoming increasingly commonplace. Especially, mobile dialogue assistants ...
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Book and Conference Proceedings
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Chapter and Conference Paper
Empathetic Dialogue Generation with Pre-trained RoBERTa-GPT2 and External Knowledge
One challenge for dialogue agents is to recognize the feelings of the conversation partner and respond accordingly. In this work, RoBERTa-GPT2 is proposed for empathetic dialogue generation, where the pre-trai...
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Chapter
Multimodal Machine Learning for Social Interaction with Ageing Individuals
Multimodal machine learning (MMML) is a vibrant multi-disciplinary research field which addresses some of the original goals of artificial intelligence by integrating and modelling multiple communicative modal...
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Chapter
A Script Knowledge Based Dialogue System for Indoor Navigation
We present an indoor navigation system that is based on natural spoken interaction. The system navigates the user through the University of Ulm based on scripts, supporting three different routes and varying c...
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Chapter
Opinion Building Based on the Argumentative Dialogue System BEA
In this work, we introduce BEA, an argumentative Dialogue System that assists the user in his or her opinion forming regarding a certain controversial topic. To this end, we establish an opinion model based on...
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Chapter
Culture-Aware Dialogue Management for Conversational Assistants
The cultural background has a great influence on the people’s behaviour and perception. With the aim of designing a culturally sensitive conversational assistant, we have investigated whether culture-specific ...
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Chapter
Domain Complexity and Policy Learning in Task-Oriented Dialogue Systems
In the present paper, we conduct a comparative evaluation of a multitude of information-seeking domains, using two well-known but fundamentally different algorithms for policy learning: GP-SARSA and DQN. Our g...
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Chapter
An Assessment Framework for DialPort
Collecting a large amount of real human-computer interaction data in various domains is a cornerstone in the development of better data-driven spoken dialog systems. The DialPort project is creating a portal t...
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Chapter
A Social Companion and Conversational Partner for the Elderly
In this work, we present the development and evaluation of a social companion and conversational partner for the specific user group of elderly persons. With the aim of designing a user-adaptive system, we res...
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Chapter
Exploring the Applicability of Elaborateness and Indirectness in Dialogue Management
In this paper, we investigate the applicability of soft changes to system behaviour, namely changing the amount of elaborateness and indirectness displayed. To this end, we examine the impact of elaborateness ...
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Chapter
On the Applicability of a User Satisfaction-Based Reward for Dialogue Policy Learning
Finding a good dialogue policy using reinforcement learning usually relies on objective criteria for modelling the reward signal, e.g., task success. In this contribution, we propose to use user satisfaction i...
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Chapter and Conference Paper
Utilizing Argument Mining Techniques for Argumentative Dialogue Systems
This work presents a pilot study for the application of argument mining techniques in the context of argumentative Dialogue Systems. We extract the argument structure of an online debate and show how it can b...
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Chapter
Recurrent Neural Network Interaction Quality Estimation
Getting a of the Quality (IQ) of a spoken dialogue helps to increase the user satisfaction as the dialogue strategy may be adapted accordingly. Therefore, some research has already been conducted in orde...
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Chapter
Salient Cross-Lingual Acoustic and Prosodic Features for English and German Emotion Recognition
While on automatic of human emotion from have already achieved reasonable , a lot of room for improvement still remains there. In our research, we select the most essential features by applying a self-a...
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Chapter
Analysis of Temporal Features for Interaction Quality Estimation
Many different for (IQ) estimating of Spoken Dialogue Systems have been investigated. While dialogues clearly have a sequential nature, statistical classification approaches designed for sequential probl...
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Book
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Chapter
Dialogue Management for User-Centered Adaptive Dialogue
A novel approach for introducing adaptivity to user satisfaction into dialogue management is presented in this work. In general, rendering the dialogue adaptive to user satisfaction enables the dialogue system...
