LEADER 05340nam 22006855 450 001 9910896188103321 005 20250807153211.0 010 $a3-031-63821-2 024 7 $a10.1007/978-3-031-63821-3 035 $a(CKB)36315558700041 035 $a(MiAaPQ)EBC31713258 035 $a(Au-PeEL)EBL31713258 035 $a(DE-He213)978-3-031-63821-3 035 $a(OCoLC)1461854501 035 $a(EXLCZ)9936315558700041 100 $a20241008d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAffective Computing for Social Good $eEnhancing Well-being, Empathy, and Equity /$fedited by Muskan Garg, Rajesh Shardanand Prasad 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (274 pages) 225 1 $aThe Springer Series in Applied Machine Learning,$x2520-1301 311 08$a3-031-63820-4 327 $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. 330 $aAffective Computing for Social Good: Enhancing Well-being, Empathy, and Equity offers an insightful journey into the intricate realm of affective computing. It covers a spectrum of topics ranging from foundational theories and technologies to ethical considerations and future possibilities. Beginning with "Deciphering the Emotional Spectrum: Advances in Emotion Science and Analysis," it sets the stage by tracing the evolution of understanding human emotions. Subsequent chapters explore practical applications, such as integrating clinical psychology with affective computing for therapeutic progress and leveraging affective computing in diagnosing and managing mood disorders more efficiently. As the narrative unfolds, the book emphasizes the crucial role of affective computing in fostering social justice and equity. It underscores the need for developing inclusive algorithms and databases while addressing ethical challenges like privacy, consent, and the risk of emotional manipulation. These discussions emphasize the significance of ethical deployment and regulation. The book also covers the technical aspects and applications of affective computing, including natural language processing for emotion recognition and analysis, voice emotion detection, and visual emotion recognition. It extends to applications, such as the use of affective computing in health management via recommender systems and personalized well-being interventions in mental health care. Overall, this book will help readers gain a deeper understanding of the intersection between AI and human emotions, and how this technology can be used to create a more empathetic, compassionate, and socially responsible world. 410 0$aThe Springer Series in Applied Machine Learning,$x2520-1301 606 $aArtificial intelligence 606 $aSocial sciences$xData processing 606 $aMachine learning 606 $aEmotions 606 $aNatural language processing (Computer science) 606 $aArtificial Intelligence 606 $aComputer Application in Social and Behavioral Sciences 606 $aMachine Learning 606 $aEmotion 606 $aNatural Language Processing (NLP) 615 0$aArtificial intelligence. 615 0$aSocial sciences$xData processing. 615 0$aMachine learning. 615 0$aEmotions. 615 0$aNatural language processing (Computer science) 615 14$aArtificial Intelligence. 615 24$aComputer Application in Social and Behavioral Sciences. 615 24$aMachine Learning. 615 24$aEmotion. 615 24$aNatural Language Processing (NLP). 676 $a004.019 700 $aGarg$b Muskan$01767346 701 $aPrasad$b Rajesh Shardanand$01767347 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910896188103321 996 $aAffective Computing for Social Good$94212383 997 $aUNINA