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. This collection 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.
%0 Book
%1 TkalcicDeCarolisEtAl2016
%B Human-Computer Interaction Series
%C Cham
%D 2016
%E Tkalcic, Marko
%E De Carolis, Berardina
%E de Gemmis, Marco
%E Odić, Ante
%E Kosir, Andrej
%I Springer
%K 01614 103 springer book ai user adaptive interface service emotion recognition analysis multimodal interaction cognitive science zzz.hci zzz.mmi
%R 10.1007/978-3-319-31413-6
%T Emotions and Personality in Personalized Services: Models, Evaluation and Applications
%X 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. This collection 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.
%@ 978-3-319-31411-2
@book{TkalcicDeCarolisEtAl2016,
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. This collection 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.},
added-at = {2016-09-12T10:57:12.000+0200},
address = {Cham},
biburl = {https://www.bibsonomy.org/bibtex/26f7e2fd70ebd6d24dd6afc717da95bfd/flint63},
doi = {10.1007/978-3-319-31413-6},
editor = {Tkal\v{c}i\v{c}, Marko and De Carolis, Berardina and de Gemmis, Marco and Odi\'{c}, Ante and Ko\v{s}ir, Andrej},
file = {SpringerLink:2016/TkalcicDeCarolisEtAl2016.pdf:PDF;Springer Product page:http\://www.springer.com/978-3-319-31411-2:URL;Amazon Search inside:http\://www.amazon.de/gp/reader/3319314114/:URL},
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isbn = {978-3-319-31411-2},
issn = {1571-5035},
keywords = {01614 103 springer book ai user adaptive interface service emotion recognition analysis multimodal interaction cognitive science zzz.hci zzz.mmi},
publisher = {Springer},
series = {Human-Computer Interaction Series},
timestamp = {2018-04-16T12:22:50.000+0200},
title = {Emotions and Personality in Personalized Services: Models, Evaluation and Applications},
username = {flint63},
year = 2016
}