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Dialogues with Social Robots

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Cover of 'Dialogues with Social Robots'

Table of Contents

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    Book Overview
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    Chapter 1 DigiSami and Digital Natives: Interaction Technology for the North Sami Language
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    Chapter 2 A Comparative Study of Text Preprocessing Techniques for Natural Language Call Routing
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    Chapter 3 Compact and Interpretable Dialogue State Representation with Genetic Sparse Distributed Memory
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    Chapter 4 Incremental Human-Machine Dialogue Simulation
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    Chapter 5 Active Learning for Example-Based Dialog Systems
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    Chapter 6 Question Selection Based on Expected Utility to Acquire Information Through Dialogue
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    Chapter 7 Separating Representation, Reasoning, and Implementation for Interaction Management: Lessons from Automated Planning
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    Chapter 8 SimpleDS : A Simple Deep Reinforcement Learning Dialogue System
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    Chapter 9 Breakdown Detector for Chat-Oriented Dialogue
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    Chapter 10 User Involvement in Collaborative Decision-Making Dialog Systems
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    Chapter 11 Natural Language Dialog System Considering Speaker’s Emotion Calculated from Acoustic Features
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    Chapter 12 Salient Cross-Lingual Acoustic and Prosodic Features for English and German Emotion Recognition
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    Chapter 13 Entropy-Driven Dialog for Topic Classification: Detecting and Tackling Uncertainty
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    Chapter 14 Evaluation of Question-Answering System About Conversational Agent’s Personality
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    Chapter 15 Fisher Kernels on Phase-Based Features for Speech Emotion Recognition
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    Chapter 16 Internationalisation and Localisation of Spoken Dialogue Systems
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    Chapter 17 A Multi-lingual Evaluation of the vAssist Spoken Dialog System. Comparing Disco and RavenClaw
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    Chapter 18 Multimodal HALEF: An Open-Source Modular Web-Based Multimodal Dialog Framework
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    Chapter 19 Data Collection and Synchronisation: Towards a Multiperspective Multimodal Dialogue System with Metacognitive Abilities
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    Chapter 20 HELPR: A Framework to Break the Barrier Across Domains in Spoken Dialog Systems
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    Chapter 21 Towards an Open-Domain Social Dialog System
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    Chapter 22 Is Spoken Language All-or-Nothing? Implications for Future Speech-Based Human-Machine Interaction
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    Chapter 23 Toward a Context-Based Approach to Assess Engagement in Human-Robot Social Interaction
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    Chapter 24 Extrinsic Versus Intrinsic Evaluation of Natural Language Generation for Spoken Dialogue Systems and Social Robotics
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    Chapter 25 Engagement in Dialogue with Social Robots
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    Chapter 26 Lend a Hand to Service Robots: Overcoming System Limitations by Asking Humans
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    Chapter 27 Dialogue with Robots to Support Symbiotic Autonomy
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    Chapter 28 Towards SamiTalk: A Sami-Speaking Robot Linked to Sami Wikipedia
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    Chapter 29 Utterance Selection Using Discourse Relation Filter for Chat-oriented Dialogue Systems
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    Chapter 30 Analysis of Temporal Features for Interaction Quality Estimation
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    Chapter 31 Recurrent Neural Network Interaction Quality Estimation
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    Chapter 32 An Evaluation Method for System Response in Chat-Oriented Dialogue System
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    Chapter 33 The Negotiation Dialogue Game
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    Chapter 34 Estimation of User’s Willingness to Talk About the Topic: Analysis of Interviews Between Humans
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    Chapter 35 Recognising Conversational Speech: What an Incremental ASR Should Do for a Dialogue System and How to Get There
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    Chapter 36 The Fourth Dialog State Tracking Challenge
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    Chapter 37 Convolutional Neural Networks for Multi-topic Dialog State Tracking
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    Chapter 38 The MSIIP System for Dialog State Tracking Challenge 4
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    Chapter 39 Robust Dialog State Tracking for Large Ontologies
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    Chapter 40 Erratum to: Dialogues with Social Robots
Overall attention for this book and its chapters
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Title
Dialogues with Social Robots
Published by
Springer Singapore, December 2016
DOI 10.1007/978-981-10-2585-3
ISBNs
978-9-81-102584-6, 978-9-81-102585-3
Editors

Jokinen, Kristiina, Wilcock, Graham

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 31%
Student > Bachelor 7 17%
Student > Master 6 14%
Researcher 5 12%
Student > Doctoral Student 2 5%
Other 3 7%
Unknown 6 14%
Readers by discipline Count As %
Computer Science 19 45%
Engineering 8 19%
Design 2 5%
Linguistics 2 5%
Mathematics 1 2%
Other 5 12%
Unknown 5 12%