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Titlebook: Emotions and Personality in Personalized Services; Models, Evaluation a Marko Tkalčič,Berardina De Carolis,Andrej Košir Book 2016 Springer

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书目名称Emotions and Personality in Personalized Services
副标题Models, Evaluation a
编辑Marko Tkalčič,Berardina De Carolis,Andrej Košir
视频video
概述Bridges personalization algorithms, such as recommender systems, with psychologically motivated user-centric concepts, such as emotions and personality.Translates psychological theories of emotions an
丛书名称Human–Computer Interaction Series
图书封面Titlebook: Emotions and Personality in Personalized Services; Models, Evaluation a Marko Tkalčič,Berardina De Carolis,Andrej Košir Book 2016 Springer
描述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 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 system
出版日期Book 2016
关键词Affect; Affective Computing; Personality; Personalized Systems; User Modeling
版次1
doihttps://doi.org/10.1007/978-3-319-31413-6
isbn_softcover978-3-319-81034-8
isbn_ebook978-3-319-31413-6Series ISSN 1571-5035 Series E-ISSN 2524-4477
issn_series 1571-5035
copyrightSpringer International Publishing Switzerland 2016
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Social Emotions. A Challenge for Sentiment Analysis and User Modelstions. Special attention is devoted to a socio-cognitive model of emotions in terms of goals and beliefs, focusing on social emotions, both related to image (admiration, bitterness, enthusiasm) and to self-image (pride, shame). Nature, function, and typical body signals of these emotions are overviewed.
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Acquisition of Personalityly infer personality. For each data source, we discuss the methods of extracting the cues used to detect personality, as well as the major findings. Lastly, we refer some limitations of the current research which is relevant for the advancement of the state of the art.
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Hans Georg Wolpers,Markus Schwaiger M.D.extual sources, and entail going beyond classic text-based opinion mining techniques. We show, for example, that social streams may use vocabularies and expressions that exist outside the mainstream of standard, formal languages, and may reflect complex dynamics in the opinions and sentiments expressed by individuals and communities.
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Pathophysiology of Plasma Protein Metabolismion with virtual agents, social robots, and other conversational systems, this chapter proposes a probabilistic framework that models the dynamics of interpersonal cues reflecting the user’s social attitude within the context they occur.
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Book 2016y 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 st
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