This book explores novel aspects of social robotics, spoken dialogue systems, human-robot interaction, spoken language understanding, multimodal communication, and system evaluation. It offers a variety of perspectives on and solutions to the most important questions about advanced techniques for social robots and chat systems.
Chapters by leading researchers address key research and development topics in the field of spoken dialogue systems, focusing in particular on three special themes: dialogue state tracking, evaluation of human-robot dialogue in social robotics, and socio-cognitive language processing.
The book offers a valuable resource for researchers and practitioners in both academia and industry whose work involves advanced interaction technology and who are seeking an up-to-date overview of the key topics. It also provides supplementary educational material for courses on state-of-the-art dialogue system technologies, social robotics, and related research fields.
Edited by:
Kristiina Jokinen,
Graham Wilcock
Imprint: Springer Verlag, Singapore
Country of Publication: Singapore
Edition: Softcover reprint of the original 1st ed. 2017
Volume: 427
Dimensions:
Height: 235mm,
Width: 155mm,
Spine: 26mm
Weight: 777g
ISBN: 9789811096594
ISBN 10: 9811096597
Series: Lecture Notes in Electrical Engineering
Pages: 489
Publication Date: 07 July 2018
Audience:
Professional and scholarly
,
Undergraduate
Format: Paperback
Publisher's Status: Active
DigiSami and Digital Natives: Interaction Technology for the NorthSami Language.- A Comparative Study of Text Preprocessing Techniques for Natural Language Call Routing.- Compact and Interpretable Dialogue State Representation with Genetic Sparse Distributed Memory.- Incremental Human-machine Dialogue Simulation.- Active Learning for Example-based Dialog Systems.- Question Selection based on Expected Utility to Acquire Informationthrough Dialogue.- Separating Representation, Reasoning, and Implementation forInteraction Management: Lessons from Automated Planning.- SimpleDS: A Simple Deep Reinforcement Learning Dialogue System.- Breakdown Detector for Chat-oriented Dialogue.- User Involvement in Collaborative Decision-Making Dialog Systems.- Natural Language Dialog System Considering Speaker’s EmotionCalculated from Acoustic Features.- Salient Cross-lingual Acoustic and Prosodic Features for English and German Emotion Recognition.- Entropy-Driven Dialog for Topic Classification: Detecting and Tackling Uncertainty.- Evaluation of Question-Answering System about Conversational Agent’s Personality.- Fisher Kernels on Phase-based Features for Speech Emotion Recognition.- Internationalisation and Localisation of Spoken Dialogue Systems
