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  • © 2016

Emotions and Personality in Personalized Services

Models, Evaluation and Applications

  • Bridges personalization algorithms, such as recommender systems, with psychologically motivated user-centric concepts, such as emotions and personality

  • Translates psychological theories of emotions and personality into computational models for use in personalization algorithms

  • Surveys techniques for the implicit and explicit acquisition of personality, emotions, sentiment and social signals from sensors, mobile devices and social media

  • Provides design hints to develop emotion and personality-aware systems

  • Provides examples of personalized applications that make good use of emotions and personality

  • Includes supplementary material: sn.pub/extras

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

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eBook USD 119.00
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  • ISBN: 978-3-319-31413-6
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  • Tax calculation will be finalised during checkout
Softcover Book USD 159.99
Price excludes VAT (USA)
Hardcover Book USD 159.99
Price excludes VAT (USA)

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Table of contents (18 chapters)

  1. Front Matter

    Pages i-xiii
  2. Background

    1. Front Matter

      Pages 1-1
    2. Introduction to Emotions and Personality in Personalized Systems

      • Marko Tkalčič, Berardina De Carolis, Marco de Gemmis, Ante Odić, Andrej Košir
      Pages 3-11
    3. Social Emotions. A Challenge for Sentiment Analysis and User Models

      • Francesca D’Errico, Isabella Poggi
      Pages 13-34
    4. Models of Personality

      • Sandra Matz, Yin Wah Fiona Chan, Michal Kosinski
      Pages 35-54
  3. Acquisition and Corpora

    1. Front Matter

      Pages 55-55
    2. Acquisition of Affect

      • Björn W. Schuller
      Pages 57-80
    3. Acquisition of Personality

      • Ailbhe N. Finnerty, Bruno Lepri, Fabio Pianesi
      Pages 81-99
    4. Computing Technologies for Social Signals

      • Alessandro Vinciarelli
      Pages 101-118
    5. Sentiment Analysis in Social Streams

      • Hassan Saif, F. Javier Ortega, Miriam Fernández, Iván Cantador
      Pages 119-140
    6. Mobile-Based Experience Sampling for Behaviour Research

      • Veljko Pejovic, Neal Lathia, Cecilia Mascolo, Mirco Musolesi
      Pages 141-161
    7. Affective and Personality Corpora

      • Ante Odić, Andrej Košir, Marko Tkalčič
      Pages 163-178
  4. Applications

    1. Front Matter

      Pages 179-179
    2. Modeling User’s Social Attitude in a Conversational System

      • Tobias Baur, Dominik Schiller, Elisabeth André
      Pages 181-199
    3. Personality and Recommendation Diversity

      • Li Chen, Wen Wu, Liang He
      Pages 201-225
    4. Affective Music Information Retrieval

      • Ju-Chiang Wang, Yi-Hsuan Yang, Hsin-Min Wang
      Pages 227-261
    5. Emotion-Based Matching of Music to Places

      • Marius Kaminskas, Francesco Ricci
      Pages 287-310
    6. Emotions in Context-Aware Recommender Systems

      • Yong Zheng, Bamshad Mobasher, Robin Burke
      Pages 311-326
    7. Towards User-Aware Music Information Retrieval: Emotional and Color Perception of Music

      • Gregor Strle, Matevž Pesek, Matija Marolt
      Pages 327-353

About this book

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

  • Department of Computational Perception, Johannes Kepler University, Linz, Austria

    Marko Tkalčič

  • Department of Computer Science, University of Bari Aldo Moro, Bari, Italy

    Berardina De Carolis, Marco de Gemmis

  • Preserje, Ljubljana, Slovenia

    Ante Odić

  • Faculty of electrical engineering, University of Ljubljana, Ljubljana, Slovenia

    Andrej Košir

Bibliographic Information

Buying options

eBook USD 119.00
Price excludes VAT (USA)
  • ISBN: 978-3-319-31413-6
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 159.99
Price excludes VAT (USA)
Hardcover Book USD 159.99
Price excludes VAT (USA)