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Emotions and personality in personal...
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Emotions and personality in personalized servicesmodels, evaluation and applications /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Emotions and personality in personalized servicesedited by Marko Tkalcic ... [et al.].
Reminder of title:
models, evaluation and applications /
other author:
Tkalcic, Marko.
Published:
Cham :Springer International Publishing :2016.
Description:
xiii, 400 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Human-computer interaction.
Online resource:
http://dx.doi.org/10.1007/978-3-319-31413-6
ISBN:
9783319314136$q(electronic bk.)
Emotions and personality in personalized servicesmodels, evaluation and applications /
Emotions and personality in personalized services
models, evaluation and applications /[electronic resource] :edited by Marko Tkalcic ... [et al.]. - Cham :Springer International Publishing :2016. - xiii, 400 p. :ill., digital ;24 cm. - Human-computer interaction series,1571-5035. - Human-computer interaction series..
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.
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.
ISBN: 9783319314136$q(electronic bk.)
Standard No.: 10.1007/978-3-319-31413-6doiSubjects--Topical Terms:
189333
Human-computer interaction.
LC Class. No.: QA76.9.H85 / E56 2016
Dewey Class. No.: 004.019
Emotions and personality in personalized servicesmodels, evaluation and applications /
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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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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.
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based on 0 review(s)
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EB QA76.9.H85 E54 2016
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