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Emotions and Personality in Personalized Services

Models, Evaluation and Applications

  • Marko Tkalčič
  • Berardina De Carolis
  • Marco de Gemmis
  • Ante Odić
  • Andrej Košir

Part of the Human–Computer Interaction Series book series (HCIS)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Background

    1. Front Matter
      Pages 1-1
    2. Marko Tkalčič, Berardina De Carolis, Marco de Gemmis, Ante Odić, Andrej Košir
      Pages 3-11
    3. Francesca D’Errico, Isabella Poggi
      Pages 13-34
    4. Sandra Matz, Yin Wah Fiona Chan, Michal Kosinski
      Pages 35-54
  3. Acquisition and Corpora

    1. Front Matter
      Pages 55-55
    2. Björn W. Schuller
      Pages 57-80
    3. Ailbhe N. Finnerty, Bruno Lepri, Fabio Pianesi
      Pages 81-99
    4. Alessandro Vinciarelli
      Pages 101-118
    5. Hassan Saif, F. Javier Ortega, Miriam Fernández, Iván Cantador
      Pages 119-140
    6. Veljko Pejovic, Neal Lathia, Cecilia Mascolo, Mirco Musolesi
      Pages 141-161
    7. Ante Odić, Andrej Košir, Marko Tkalčič
      Pages 163-178
  4. Applications

    1. Front Matter
      Pages 179-179
    2. Tobias Baur, Dominik Schiller, Elisabeth André
      Pages 181-199
    3. Li Chen, Wen Wu, Liang He
      Pages 201-225
    4. Ju-Chiang Wang, Yi-Hsuan Yang, Hsin-Min Wang
      Pages 227-261
    5. Marius Kaminskas, Francesco Ricci
      Pages 287-310
    6. Yong Zheng, Bamshad Mobasher, Robin Burke
      Pages 311-326
    7. Gregor Strle, Matevž Pesek, Matija Marolt
      Pages 327-353
  5. Evaluation and Privacy

    1. Front Matter
      Pages 355-355
    2. Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
      Pages 357-376
    3. Jason R. Wilson, Matthias Scheutz, Gordon Briggs
      Pages 377-395
  6. Back Matter
    Pages 397-400

About this book

Introduction

Personalization is ubiquitous from search engines to online-shopping websites helping us find content more efficiently and this book focuses on the key developments that are shaping our daily online experiences. With advances in the detection of end users’ emotions, personality, sentiment and social signals, researchers and practitioners now have the tools to build a new generation of personalized systems that will really understand the user’s state and deliver the right content.

With leading experts from a vast array of domains from user modeling, mobile sensing and information retrieval to artificial intelligence, human-computer interaction (HCI) social computing and psychology, a broad spectrum of topics are covered.  From discussing psychological theoretical models and exploring state-of-the-art methods for acquiring emotions and personality in an unobtrusive way, as well as describing how these concepts can be used to improve various aspects of the personalization process and chapters that discuss evaluation and privacy issues.

Emotions and Personality in Personalized Systems will help aid researchers and practitioners develop and evaluate user-centric personalization systems that take into account the factors that have a tremendous impact on our decision-making – emotions and personality.

Keywords

Affect Affective Computing Personality Personalized Systems User Modeling

Editors and affiliations

  • Marko Tkalčič
    • 1
  • Berardina De Carolis
    • 2
  • Marco de Gemmis
    • 3
  • Ante Odić
    • 4
  • Andrej Košir
    • 5
  1. 1.Department of Computational PerceptionJohannes Kepler UniversityLinzAustria
  2. 2.Department of Computer ScienceUniversity of Bari Aldo MoroBariItaly
  3. 3.Department of Computer ScienceUniversity of Bari Aldo MoroBariItaly
  4. 4.Preserje, LjubljanaSlovenia
  5. 5.Faculty of electrical engineeringUniversity of LjubljanaLjubljanaSlovenia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-31413-6
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-31411-2
  • Online ISBN 978-3-319-31413-6
  • Series Print ISSN 1571-5035
  • Buy this book on publisher's site