Exploring the Applicability of Elaborateness and Indirectness in Dialogue Management

@inproceedings{Pragst2018ExploringTA,
  title={Exploring the Applicability of Elaborateness and Indirectness in Dialogue Management},
  author={Louisa Pragst and Wolfgang Minker and Stefan Ultes},
  booktitle={International Workshop on Spoken Dialogue Systems Technology},
  year={2018}
}
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 and indirectness on the perception of human-computer communication in a user study. Here, we show that elaborateness and indirectness influence the user’s impression of a dialogue and discuss the implications of our results for adaptive dialogue management. We conclude that elaborateness… 

Exploring the Impact of Elaborateness and Indirectness on User Satisfaction in a Spoken Dialogue System

The results show that the system's communication style has a direct influence on the users' satisfaction level as well as the user's perception of the dialogue and imply that the preference in the system’s communication style is individual for every person.

Enabling Dialogue Management with Dynamically Created Dialogue Actions

An extension for the existing OwlSpeak Dialogue Manager is presented which enables the handling of dynamically created dialogue actions, which leads to an increase in flexibility which can be used for adaptation tasks.

Changing the Level of Directness in Dialogue using Dialogue Vector Models and Recurrent Neural Networks

This work proposes an approach to differentiate between direct and indirect utterances and find utterances of the opposite characteristic that express the same intent in dialogue vector models and recurrent neural networks.

Challenges for adaptive dialogue management in the KRISTINA project

This work presents the specific challenges of the KRISTINA project to adaptive dialogue management, namely the handling of a large dialogue domain and the cultural adaptability required by the envisioned dialogue system, and the approach to handling them.

A Methodology for Evaluating Interaction Strategies of Task-Oriented Conversational Agents

A novel methodology to assess the impact on the quality of experience of agent’s interaction strategies, based on a within subject design, where two slightly different transcripts of the same interaction with a conversational agent are presented to the user.

What Causes the Differences in Communication Styles? A Multicultural Study on Directness and Elaborateness

A multicultural study to investigate the causes of differences in the communication styles elaborateness and directness in Human-Computer Interaction and to demonstrate the influence of the user’s culture and gender, the frequency of use of speech based assistants as well as the system’'s role on the user's preference concerning the system's communication style.

Estimating User Communication Styles for Spoken Dialogue Systems

We present a neural network approach to estimate the communication style of spoken interaction, namely the stylistic variations elaborateness and directness, and investigate which type of input

Discourse Behavior of Older Adults Interacting with a Dialogue Agent Competent in Multiple Topics

Analysis of the dialogues reveals correlations such as greater verbosity for more difficult topics, increasing verbosity with successive sessions, especially for moreicult topics, stronger sentiment on topics concerned with life goals rather than routine activities, and stronger self-disclosure for more intimate topics.

Exploring the Impacts of Elaborateness and Indirectness in a Behavior Change Support System

Walkeeper – a web-based app that provides interpretations of the users’ daily step counts using different levels of elaborateness and indirectness with the aim of promoting walking is developed and evaluated.

Task allocation interface design and personalization in gamified participatory sensing for tourism

The results of the tourism experiment show that the map-based interface collects more data, while the chat-based interfaces collects data for spots with higher information demand, and it is found that the contribution to sensing behavior and interface preference differed depending on the individual user type.

References

SHOWING 1-10 OF 11 REFERENCES

Adaptive Dialogue Management in the NIMITEK Prototype System

The implementation of adaptive dialogue management in the NIMITEK prototype spoken dialogue system for supporting users while they solve problems in a graphics system (e.g., the Tower-of-Hanoi puzzle) is presented.

Endowing Spoken Language Dialogue Systems with Emotional Intelligence

This work proposes a hierarchical selection process for politeness behaviors in order to enable the refinement of decisions in case additional context information becomes available.

Agent-Based Adaptive Interaction and Dialogue Management Architecture for Speech Applications

This paper presents an adaptive architecture for interaction and dialogue management in spoken dialogue applications that is targeted for applications that adapt to the situation and the user.

MIMIC: An Adaptive Mixed Initiative Spoken Dialogue System for Information Queries

MIMIC improves upon previous dialogue systems in two respects, and its dialogue management architecture decouples its initiative module from the goal and response strategy selection processes, providing a general framework for developing spoken dialogue systems with different adaptation behavior.

Adapting Dialogue to User Emotion - A Wizard-of-Oz study for adaptation strategies

A Wizard-of- Oz study based on the findings of a preliminary study is conducted to address some of the questions above about how to take into account the way that the user is feeling and to react appropriately when sensing a specific emotion.

Managing adaptive spoken dialogue for Intelligent Environments

HIS-OwlSpeak is presented, a model-driven dialogue manager for Intelligent Environments that meets the challenges arising from engineering IEs by providing a unified platform comprising adaptivity to a variety of internal and external factors.

A Multimodal In-Car Dialogue System That Tracks The Driver's Attention

It is found that the situationally-aware spoken dialogue system improves driving performance and attention to the speech content, while driver-controlled speech resumption does not hinder performance in either of these two tasks.

Expressive robots in education: varying the degree of social supportive behavior of a robotic tutor

The development of social supportive behaviors for a robotic tutor to be used in a language learning application is presented and the results support that employing social supportive behavior increases learning efficiency of students.

Individualized Agent Interactions

This paper presents a software framework which is able to visualize individualized non-verbal behavior of virtual agents and designed four behavioral profiles that simulate prototypical behaviors for differences in personality and gender.

The effectiveness of social agents in reducing user frustration

A study was conducted to evaluate the effectiveness of social agents in reducing user frustration. The particular type of agent studied reacted to users' facial expressions while they browsed through