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Emotions and personality in personalized services : models, evaluation and applications

Author: Marko Tkalčič; Berardina De Carolis; Marco Gemmis; Ante Odić; Andrej Košir
Publisher: Switzerland : Springer, [2016] ©2016
Series: Human-computer interaction series.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
"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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Emotions and personality in personalized services.
Switzerland : Springer, [2016]
(OCoLC)939531637
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Marko Tkalčič; Berardina De Carolis; Marco Gemmis; Ante Odić; Andrej Košir
ISBN: 9783319314136 3319314130
OCLC Number: 953695009
Description: 1 online resource (xiii, 400 pages) : illustrations (some color).
Contents: 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.
Series Title: Human-computer interaction series.
Responsibility: Marko Tkalčič, Berardina De Carolis, Marco de Gemmis, Ante Odić, Andrej Košir, editors.

Abstract:

"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"--Provided by publisher.

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