Titlebook: Affective Computing for Social Good; Enhancing Well-being Muskan Garg,Rajesh Shardanand Prasad Book 2024 The Editor(s) (if applicable) and

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Heuristic Techniques in Optimisation the brink of these technological advancements, the discourse underscores the importance of ethical guidelines, public engagement, and education to ensure that AI’s integration into society enhances human life without compromising fundamental values or well-being.

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https://doi.org/10.1007/978-1-4471-4603-2 psychology is a specialized branch of psychology that deals with, but is not limited to diagnosis and intervention of mental disorders and also focus on causes that lead to development of these disorders. Emotions and lack of ability to understand among both the individuals experiencing them as wel

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https://doi.org/10.1007/978-3-319-72547-5y dependent on technology, there is an urgent need to address biases and inequities that may arise during the development and implementation of affective computing systems. The process entails conducting a thorough examination of current affective computing technologies, assessing their potential in

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Guide to Competitive Programmingich has attracted interest from a wide range of businesses. Even with the many advantages such as improvements in human-computer connection, marketing, and healthcare ethical and social issues remain significant..Analyzing the moral implications of collecting and interpreting emotional data about an

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https://doi.org/10.1007/978-3-030-39357-1e, care, liking, joy, happiness, sadness, anxiety, anger, hatred, jealousy, fear, lust, and greed are some emotions. In general, these are categorized into positive and negative types based on feelings experienced by the body, mind, heart, brain, and spirit (soul). Not only Humans but also every liv

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Cristina Demone,Kelly Esponda,Stephanie Shea improving different parts of our lives all depend on our capacity to effectively identify and analyze emotions. The study of emotions brings together computer technology, artificial intelligence, and psychology. The accessibility of appropriate emotional databases, the discovery of the pertinent fe

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https://doi.org/10.1007/978-1-4471-4075-7 and emotion classification. Affective computing is a multidisciplinary knowledge, such as psychology, cognition, and computer sciences. We present an overview of affective computing emotion theories, state of the art of key technologies, projects, research challenges, emotion feature extraction, al