Affective Computing for Social Good: Enhancing Well-Being, Empathy, and Equity
Garg, Muskan, Prasad, Rajesh Shardanand
- 出版商: Springer
- 出版日期: 2024-10-08
- 售價: $8,520
- 貴賓價: 9.5 折 $8,094
- 語言: 英文
- 頁數: 274
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3031638204
- ISBN-13: 9783031638206
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商品描述
Affective 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.
Addressing data challenges, "Enhancing Affective Computing with Data Augmentation: Strategies for Overcoming Limited Data Availability" presents solutions for imbalances affecting model performance. "Advancements in Multimodal Emotion Recognition" highlights the integration of facial expressions with physiological signals to improve emotion recognition accuracy and reliability.
Concluding with "Ethical Considerations in Affective Computing" and "Cognitive Currents: A Path from Neuroscience to Consciousness," the book connects technical advancements in affective computing with broader ethical and philosophical inquiries surrounding consciousness and the human experience.
Features:
- Helps readers understand the potential benefits of emotionally intelligent AI systems, such as improving mental health care, enhancing education, or promoting more ethical decision-making.
- Addresses ethical considerations related to the development and deployment of emotionally intelligent AI systems, helping readers to become more aware of the potential risks and trade-offs involved.
- Presents new approaches or frameworks for developing emotionally intelligent AI systems, providing readers with innovative ideas and perspectives.
- Provides examples of successful case studies where emotionally intelligent AI systems were used for social good, which may inspire readers to think about how they can contribute to society through AI development.
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.
商品描述(中文翻譯)
《情感計算與社會公益：提升福祉、同理心與公平》提供了一段深入情感計算複雜領域的旅程。書中涵蓋了從基礎理論和技術到倫理考量及未來可能性的廣泛主題。
本書以「解碼情感光譜：情感科學與分析的進展」開篇，透過追溯人類情感理解的演變來奠定基礎。隨後的章節探討了實際應用，例如將臨床心理學與情感計算結合以促進治療進展，以及更有效地利用情感計算來診斷和管理情緒障礙。
隨著敘述的展開，書中強調了情感計算在促進社會正義和公平方面的關鍵角色。它強調了開發包容性算法和數據庫的必要性，同時解決隱私、同意和情感操控風險等倫理挑戰。這些討論突顯了倫理部署和監管的重要性。
本書還涵蓋了情感計算的技術面和應用，包括用於情感識別和分析的自然語言處理、語音情感檢測和視覺情感識別。它延伸至應用，例如通過推薦系統在健康管理中使用情感計算，以及在心理健康護理中提供個性化的福祉介入。
針對數據挑戰，「通過數據增強提升情感計算：克服有限數據可用性的策略」提出了影響模型性能的不平衡問題的解決方案。「多模態情感識別的進展」則強調了將面部表情與生理信號結合以提高情感識別的準確性和可靠性。
本書以「情感計算中的倫理考量」和「認知潮流：從神經科學到意識的道路」作結，將情感計算的技術進展與圍繞意識和人類經驗的更廣泛倫理和哲學探討相連結。
特色：
- 幫助讀者理解情感智能AI系統的潛在好處，例如改善心理健康護理、提升教育或促進更具倫理的決策。
- 解決與情感智能AI系統的開發和部署相關的倫理考量，幫助讀者更清楚潛在風險和權衡。
- 提出開發情感智能AI系統的新方法或框架，為讀者提供創新的想法和觀點。
- 提供成功案例的例子，展示情感智能AI系統如何用於社會公益，激勵讀者思考如何通過AI開發為社會做出貢獻。
總體而言，本書將幫助讀者更深入地理解AI與人類情感之間的交集，以及這項技術如何用來創造一個更具同理心、慈悲心和社會責任感的世界。
作者簡介
Muskan Garg is a postdoctoral research fellow at Mayo Clinic, Rochester, Minnesota. She previously worked as postdoctoral research associate at University of Florida and as an assistant professor in Thapar Institute of Engineering and Technology, Patiala. Her research focuses on the problems in natural language processing, information retrieval, and social media analysis. She received her Masters and PhD from Panjab University, India. Prior to TIET, she worked as an assistant professor in Amity School of Engineering and Technology at Amity University. Her focus is on research and development of cutting-edge NLP approaches to solving problems of national and international importance and on initiation and broadening a new program in natural language processing (including a new NLP course series). Her current research interests are causal inference, mental health on social media, event detection and sentiment analysis. She contributes as a reviewer in peer reviewed journals and conferences. She has published 40+ publications in top tier venues including ACL, ICWSM, IEEE SMC, Journal of Biomedical Informatics, Expert Systems with Applications, Knowledge based Systems, Journal of Alzheimer's Disease and Asian Journal of Psychiatry. She has published over five books and book chapters on NLP and healthcare.
Rajesh Prasad is Professor (CSE) and Associate Dean (Engineering) at MIT Art, Design, and Technology University, Pune. He has more than 27 years of academic and research experience. He is an active senior member of IEEE and a chartered engineer from IE. He is instrumental in developing the curriculum and contents. He is associated with several universities in different roles. He is Ph.D. in Computer Engineering. He has published more than 90 papers in international and national journals. His area of interest is in Text and Data Analysis, Speech Processing, etc. He has authored over ten books and book chapters. He has been associated with industries for research collaborations. He is an active member of various professional societies (ISTE, IEEE, CSI, etc.). His biography was published by Marquis Publication USA in Sept 2009. He has served as Research Review committee members in renowned universities like Symbiosis International University, Savitribai Phule Pune University, Bharath University etc.
作者簡介(中文翻譯)
Muskan Garg 是明尼蘇達州羅徹斯特的梅奧診所的博士後研究員。她之前曾在佛羅里達大學擔任博士後研究助理，並在帕提亞的塔帕爾工程與技術學院擔任助理教授。她的研究專注於自然語言處理、資訊檢索和社交媒體分析中的問題。她在印度的旁遮普大學獲得碩士和博士學位。在TIET之前，她曾在阿米提大學的阿米提工程與技術學院擔任助理教授。她的重點是研究和開發尖端的自然語言處理方法，以解決國內外重要問題，並啟動和擴展一個新的自然語言處理計畫（包括一系列新的NLP課程）。她目前的研究興趣包括因果推斷、社交媒體上的心理健康、事件檢測和情感分析。她在同行評審的期刊和會議中擔任審稿人。她在ACL、ICWSM、IEEE SMC、生物醫學資訊期刊、應用專家系統、知識基礎系統、阿茲海默病期刊和亞洲精神病學期刊等頂尖場刊上發表了40多篇論文。她還出版了五本以上關於NLP和醫療保健的書籍和書章。
Rajesh Prasad 是普納的MIT藝術、設計與技術大學的計算機科學與工程教授及工程副院長。他擁有超過27年的學術和研究經驗。他是IEEE的活躍高級會員，並且是IE的特許工程師。他在課程和內容的開發中發揮了重要作用。他以不同角色與多所大學有關聯。他擁有計算機工程的博士學位，並在國際和國內期刊上發表了90多篇論文。他的研究興趣包括文本和數據分析、語音處理等。他已撰寫十多本書籍和書章，並與產業界進行研究合作。他是多個專業學會（如ISTE、IEEE、CSI等）的活躍成員。他的傳記於2009年9月由美國Marquis Publication出版。他曾在著名大學如辛比奧西斯國際大學、薩維特里拜·普赫勒普納大學、巴拉特大學等擔任研究審查委員會成員。
