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020 _a9783031638213
_9978-3-031-63821-3
024 7 _a10.1007/978-3-031-63821-3
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
245 1 0 _aAffective Computing for Social Good
_h[electronic resource] :
_bEnhancing Well-being, Empathy, and Equity /
_cedited by Muskan Garg, Rajesh Shardanand Prasad.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXVIII, 263 p. 57 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 _aThe Springer Series in Applied Machine Learning,
_x2520-1301
505 0 _aChapter 1 The Science of Emotion: Decoding and Analysis of Human Emotional Landscape -- Chapter 2 The Synergy of Clinical Psychology and Affective Computing: Advancements in Emotion Recognition and Therapy -- Chapter 3 Affective Computing in Mood Disorders: Beyond Conventional Diagnostic Tools to Modern Technologies -- Chapter 4 The Role of Affective Computing in Social Justice: Harnessing Equity and Inclusion -- Chapter 5 Exploring the Ethical Dimensions and Societal Consequences of Affective Computing -- Chapter 6 Natural Language Processing for Emotion Recognition and Analysis -- Chapter 7 From Data to Emotions: Affective Computing in Voice Emotion Detection -- Chapter 8 Visual Emotion Recognition Through Affective Computing -- Chapter 9 Affective Computing for Health Management via Recommender Systems: Exploring Challenges and Opportunities -- Chapter 10 Personalized Well-being Interventions (PWIs): A New Frontier in Mental Health -- Chapter 11 Enhancing Affective Computing in NLP through Data Augmentation: Strategies for Overcoming Limited Data Availability -- Chapter 12 Advancements in Multimodal Emotion Recognition: Integrating Facial Expressions and Physiological Signals -- Chapter 13 Ethical Considerations in Affective Computing -- Chapter 14 The Horizon of Consciousness for Affective Computing: Future Trends and Possibilities.
520 _aAffective Computing for Social Good: Enhancing Well-being, Empathy, and Equity offers an insightful journey into the intricate realm of affective computing. It covers a spectrum of topics ranging from foundational theories and technologies to ethical considerations and future possibilities. Beginning with "Deciphering the Emotional Spectrum: Advances in Emotion Science and Analysis," it sets the stage by tracing the evolution of understanding human emotions. Subsequent chapters explore practical applications, such as integrating clinical psychology with affective computing for therapeutic progress and leveraging affective computing in diagnosing and managing mood disorders more efficiently. As the narrative unfolds, the book emphasizes the crucial role of affective computing in fostering social justice and equity. It underscores the need for developing inclusive algorithms and databases while addressing ethical challenges like privacy, consent, and the risk of emotional manipulation. These discussions emphasize the significance of ethical deployment and regulation. The book also covers the technical aspects and applications of affective computing, including natural language processing for emotion recognition and analysis, voice emotion detection, and visual emotion recognition. It extends to applications, such as the use of affective computing in health management via recommender systems and personalized well-being interventions in mental health care. Overall, this book will help readers gain a deeper understanding of the intersection between AI and human emotions, and how this technology can be used to create a more empathetic, compassionate, and socially responsible world.
650 0 _aArtificial intelligence.
_958441
650 0 _aSocial sciences
_xData processing.
_965741
650 0 _aMachine learning.
_955059
650 0 _aEmotions.
_959415
650 0 _aNatural language processing (Computer science).
_965131
650 1 4 _aArtificial Intelligence.
_958441
650 2 4 _aComputer Application in Social and Behavioral Sciences.
_965743
650 2 4 _aMachine Learning.
_955059
650 2 4 _aEmotion.
_971468
650 2 4 _aNatural Language Processing (NLP).
_966164
700 1 _aGarg, Muskan.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_985750
700 1 _aPrasad, Rajesh Shardanand.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_985751
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031638206
776 0 8 _iPrinted edition:
_z9783031638220
776 0 8 _iPrinted edition:
_z9783031638237
830 0 _aThe Springer Series in Applied Machine Learning,
_x2520-1301
_984135
856 4 0 _uhttps://doi.org/10.1007/978-3-031-63821-3
912 _aZDB-2-CWD
912 _aZDB-2-SXPC
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