Emotions and Personality in Personalized Services Models, Evaluation and Applications |
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| Editor:
| Tkalčič, Marko
De Carolis, Berardina
De Gemmis, Marco
Odić, Ante
Kosir, Andrej |
| Series title: | Human-Computer Interaction Ser. |
| ISBN: | 978-3-319-31411-2 |
| Publication Date: | Jul 2016 |
| Publisher: | Springer
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| Book Format: | Hardback |
| List Price: | AUD $210.99 |
Book Description:
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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....
More DescriptionPersonalization 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.