Emotions and Personality in Personalized Services Models, Evaluation and Applications /

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 s...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Tkalčič, Marko (Editor ), De Carolis, Berardina (Editor ), de Gemmis, Marco (Editor ), Odić, Ante (Editor ), Košir, Andrej (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Human-Computer Interaction Series,
Temas:
Multimedia systems.
User interfaces (Computer systems).
Human-computer interaction.
Microcomputers.
Application software.
Artificial intelligence.
Personality.
Difference (Psychology).
Multimedia Information Systems.
User Interfaces and Human Computer Interaction.
Personal Computing.
Computer and Information Systems Applications.
Artificial Intelligence.
Personality and Differential Psychology.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Preface
  • Foreword
  • Part I: Background.-Introduction to Emotions and Personality in Personalized Systems
  • Social Emotions
  • Models of Personality
  • Part II Acquisition and Corpora
  • Acquisition of Affect
  • Acquisition of Personality
  • Computing Technologies for Social Signals
  • Sentiment Analysis in Social Streams
  • Mobile-Based Experience Sampling for Behaviour Research
  • Affective and Personality Corpora
  • Part III Applications
  • Modeling User's Social Attitude in a Conversational System
  • Personality and Recommendation Diversity
  • Affective Music Information Retrieval
  • Emotions and Personality in e-Learning Systems: an Affective Computing perspective
  • Emotion-Based Matching of Music to Places
  • Emotions in Context-aware Recommender Systems
  • Towards User-Aware Music Information Retrieval: Emotional and Color Perception of Music
  • Part IV Evaluation and Privacy
  • Emotion Detection Techniques for the Evaluation of Serendipitous Recommendations
  • Reflections on The Design Challenges Prompted by Affect-Aware Socially Assistive Robots.

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