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Emotions and Personality in Personalized Services

Models, Evaluation and Applications

  • Book
  • © 2016

Overview

  • 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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Table of contents (18 chapters)

  1. Background

  2. Acquisition and Corpora

  3. Applications

Keywords

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 processand 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.

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

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