000			04648nam a22006135i 4500
001			978-3-319-31413-6
003			DE-He213
005			20200421112556.0
007			cr nn 008mamaa
008			160713s2016 gw | s |||| 0|eng d
020			_a9783319314136 _9978-3-319-31413-6
024	7		_a10.1007/978-3-319-31413-6 _2doi
050		4	_aQA76.575
072		7	_aUG _2bicssc
072		7	_aCOM034000 _2bisacsh
082	0	4	_a006.7 _223
245	1	0	_aEmotions and Personality in Personalized Services _h[electronic resource] : _bModels, Evaluation and Applications / _cedited by Marko Tkalčič, Berardina De Carolis, Marco de Gemmis, Ante Odić, Andrej Košir.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016.
300			_aXIII, 400 p. 63 illus., 46 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aHuman-Computer Interaction Series, _x1571-5035
505	0		_aPreface -- 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.
520			_aPersonalization 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.
650		0	_aComputer science.
650		0	_aMultimedia information systems.
650		0	_aUser interfaces (Computer systems).
650		0	_aArtificial intelligence.
650		0	_aPersonal computers.
650		0	_aPersonality.
650		0	_aSocial psychology.
650	1	4	_aComputer Science.
650	2	4	_aMultimedia Information Systems.
650	2	4	_aUser Interfaces and Human Computer Interaction.
650	2	4	_aPersonal Computing.
650	2	4	_aInformation Systems Applications (incl. Internet).
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aPersonality and Social Psychology.
700	1		_aTkalčič, Marko. _eeditor.
700	1		_aDe Carolis, Berardina. _eeditor.
700	1		_ade Gemmis, Marco. _eeditor.
700	1		_aOdić, Ante. _eeditor.
700	1		_aKošir, Andrej. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783319314112
830		0	_aHuman-Computer Interaction Series, _x1571-5035
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-319-31413-6
912			_aZDB-2-SCS
942			_cEBK
999			_c59127 _d59127