rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Dialogues with social robots
    sub title: enablements, analyses, and evaluation
  name:
    name part: Jokinen, Kristiina.
  name:
    name part: Wilcock, Graham.
  type of resource: text
  genre: elektronické knihy
  genre: electronic books
  origin info:
    place:
      place term: si
    date issued: 2016
    copyright date: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xx, 489 pages)
  abstract: 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.
  table of contents: Preface; The IWSDS 2016 Conference; Dialogue State Tracking Challenge 4; Evaluation of Human-Robot Dialogue in Social Robotics; Sociocognitive Language Processing; Organization of IWSDS 2016; Steering Committee; Conference Chair; Local Arrangements Committee; Scientific Committee; Sponsors; Contents; Part I The Northernmost Spoken Dialogue Workshop; DigiSami and Digital Natives: Interaction Technology for the North Sami Language; 1 Introduction; 2 DigiSami and North Sami Language Resources; 2.1 The DigiSami Project; 2.2 The Sami Languages; 2.3 The North Sami Language.
  table of contents: 2.4 Existing North Sami Language Resources2.5 Existing North Sami Speech Technology; 3 The DigiSami Corpus; 3.1 Preliminary Analysis: Engagement and Interaction; 3.2 Preliminary Analysis: Influence of Majority Language; 3.3 Preliminary Analysis: Adjectives in Spoken Language; 4 Towards SamiTalk: A Sami-Speaking Robot Application; 5 Conclusions and Future Work; References; Part II Methods and Techniques for Spoken Dialogue Systems; A Comparative Study of Text Preprocessing Techniques for Natural Language Call Routing; 1 Introduction; 2 Corpus Description; 3 Term Weighting Methods.
  table of contents: 4 Dimensionality Reduction Methods5 Classification Algorithms; 6 Numerical Experiments; 7 Conclusions; References; Compact and Interpretable Dialogue State Representation with Genetic Sparse Distributed Memory; 1 Introduction; 2 Background; 2.1 The Reinforcement Learning Framework; 2.2 The Sparse Distributed Memory Model; 2.3 Genetic Sparse Distributed Memory for Classification; 3 Genetic Sparse Distributed Memory for Reinforcement Learning (GSDMRL); 3.1 Building the Set of Prototypes; 3.2 Q-Function Parametrisation; 3.3 Re-engineering the Prototypes.
  table of contents: 4 Experiments with the NASTIA Dialogue System4.1 Comparing GSDMRL to a Grid-Based Representation; 4.2 Scalability and Interpretability of GSDMRL; 4.3 Results; 5 Conclusion; References; Incremental Human-Machine Dialogue Simulation; 1 Introduction; 2 Simulated Environment; 2.1 Service; 2.2 User Simulator; 2.3 ASR Output Simulator; 2.4 Scheduler; 3 Illustration; 3.1 Turn-Taking Strategy Example; 3.2 Evaluation; 4 Conclusion and Future Work; References; Active Learning for Example-Based Dialog Systems; 1 Introduction; 2 An Active Learning Framework for Example-Based Dialog Managers.
  table of contents: 2.1 Example-Based Dialog Managers and Their Evaluation2.2 Active Learning Framework; 3 Input Selection Strategies; 4 Experiments; 4.1 Experimental Setup; 4.2 Experimental Results and Additional Analysis; 5 Conclusion; References; Question Selection Based on Expected Utility to Acquire Information Through Dialogue; 1 Introduction; 2 Appropriate Questions for Acquiring Information; 3 Question Selection Based on Expected Utility; 3.1 Utility for Each Question Type; 3.2 Probability Representing Content of Questions; 3.3 Calculating Expected Utility; 4 Empirical Setting of Parameters.
  note: editors: Kristiina Jokinen, Graham Wilcock.
  note: 4.1 Setting Utility Values.
  note: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
  subject:
    topic: Human-robot interaction
  subject:
    topic: Robotics
    topic: Social aspects
  subject:
    topic: Engineering
  subject:
    topic: User interfaces (Computer systems)
  subject:
    topic: Pattern perception
  subject:
    topic: Computational linguistics
  related item:
    title info:
      title: Dialogues with Social Robots : Enablements, Analyses, and Evaluation
    name:
      name part: Jokinen, Kristiina.
    origin info:
      publisher: Singapore : Springer Singapore, ©2016
  related item:
    title info:
      title: Lecture notes in electrical engineering
  identifier: 9789811025853
  identifier: 9789811025846
  identifier: https://proxy.k.utb.cz/login
  access condition: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
  record info:
    record content source: EBLCP
    record creation date: 161231
    record change date: 20251008111956.0
    record identifier: 99677
    language of cataloging:
      language term: eng