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Emotions and personality in personalized services[electronic resource] :models, evaluation and applications /
紀錄類型:
書目-電子資源 : Monograph/item
杜威分類號:
004.019
書名/作者:
Emotions and personality in personalized services : models, evaluation and applications // edited by Marko Tkalcic ... [et al.].
其他作者:
Tkalcic, Marko.
出版者:
Cham : : Springer International Publishing :, 2016.
面頁冊數:
xiii, 400 p. : : ill., digital ;; 24 cm.
Contained By:
Springer eBooks
標題:
Human-computer interaction.
標題:
Personal communication service systems.
標題:
Recommender systems (Information filtering)
標題:
Computer Science.
標題:
Multimedia Information Systems.
標題:
User Interfaces and Human Computer Interaction.
標題:
Personal Computing.
標題:
Information Systems Applications (incl. Internet)
標題:
Artificial Intelligence (incl. Robotics)
標題:
Personality and Social Psychology.
ISBN:
9783319314136
ISBN:
9783319314112
內容註:
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.
摘要、提要註:
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.
電子資源:
http://dx.doi.org/10.1007/978-3-319-31413-6
Emotions and personality in personalized services[electronic resource] :models, 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
Standard No.: 10.1007/978-3-319-31413-6doiSubjects--Topical Terms:
337819
Human-computer interaction.
LC Class. No.: QA76.9.H85 / E56 2016
Dewey Class. No.: 004.019
Emotions and personality in personalized services[electronic resource] :models, 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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