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Applied Affective Computing

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Title: Applied Affective Computing
Description: Affective computing is a nascent field situated at the intersection of artificial intelligence with social and behavioral science. It studies how human emotions are perceived and expressed, which then informs the design of intelligent agents and systems that can either mimic this behavior to improve their intelligence or incorporate such knowledge to effectively understand and communicate with their human collaborators. Affective computing research has recently seen significant advances and is making a critical transformation from exploratory studies to real-world applications in the emerging research area known as applied affective computing.This book offers readers an overview of the state-of-the-art and emerging themes in affective computing, including a comprehensive review of the existing approaches to affective computing systems and social signal processing. It provides in-depth case studies of applied affective computing in various domains, such as social robotics and mental well-being. It also addresses ethical concerns related to affective computing and how to prevent misuse of the technology in research and applications. Further, this book identifies future directions for the field and summarizes a set of guidelines for developing next-generation affective computing systems that are effective, safe, and human-centered.For researchers and practitioners new to affective computing, this book will serve as an introduction to the field to help them in identifying new research topics or developing novel applications. For more experienced researchers and practitioners, the discussions in this book provide guidance for adopting a human-centered design and development approach to advance affective computing.
Authors: Leimin Tian, Sharon Oviatt, Michal Muszynski, Brent Chamberlain, Jennifer Healey, Akane Sano
Resource Type: eBook.
Subjects: Affect (Psychology)--Computer simulation, Human-machine systems, Human-computer interaction
Categories: COMPUTERS / Computer Science, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Artificial Intelligence / Expert Systems
Database: eBook Collection (EBSCOhost)
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DbLabel: eBook Collection (EBSCOhost)
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RelevancyScore: 1110
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1109.74133300781
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  Data: Applied Affective Computing
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  Data: Affective computing is a nascent field situated at the intersection of artificial intelligence with social and behavioral science. It studies how human emotions are perceived and expressed, which then informs the design of intelligent agents and systems that can either mimic this behavior to improve their intelligence or incorporate such knowledge to effectively understand and communicate with their human collaborators. Affective computing research has recently seen significant advances and is making a critical transformation from exploratory studies to real-world applications in the emerging research area known as applied affective computing.This book offers readers an overview of the state-of-the-art and emerging themes in affective computing, including a comprehensive review of the existing approaches to affective computing systems and social signal processing. It provides in-depth case studies of applied affective computing in various domains, such as social robotics and mental well-being. It also addresses ethical concerns related to affective computing and how to prevent misuse of the technology in research and applications. Further, this book identifies future directions for the field and summarizes a set of guidelines for developing next-generation affective computing systems that are effective, safe, and human-centered.For researchers and practitioners new to affective computing, this book will serve as an introduction to the field to help them in identifying new research topics or developing novel applications. For more experienced researchers and practitioners, the discussions in this book provide guidance for adopting a human-centered design and development approach to advance affective computing.
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  Data: <searchLink fieldCode="AR" term="%22Leimin+Tian%22">Leimin Tian</searchLink><br /><searchLink fieldCode="AR" term="%22Sharon+Oviatt%22">Sharon Oviatt</searchLink><br /><searchLink fieldCode="AR" term="%22Michal+Muszynski%22">Michal Muszynski</searchLink><br /><searchLink fieldCode="AR" term="%22Brent+Chamberlain%22">Brent Chamberlain</searchLink><br /><searchLink fieldCode="AR" term="%22Jennifer+Healey%22">Jennifer Healey</searchLink><br /><searchLink fieldCode="AR" term="%22Akane+Sano%22">Akane Sano</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Affect+%28Psychology%29--Computer+simulation%22">Affect (Psychology)--Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Human-machine+systems%22">Human-machine systems</searchLink><br /><searchLink fieldCode="DE" term="%22Human-computer+interaction%22">Human-computer interaction</searchLink>
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      – Code: 004.19
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Affect (Psychology)--Computer simulation
        Type: general
      – SubjectFull: Human-machine systems
        Type: general
      – SubjectFull: Human-computer interaction
        Type: general
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      – TitleFull: Applied Affective Computing
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            NameFull: Michal Muszynski
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            NameFull: Jennifer Healey
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2022
            – D: 29
              M: 03
              Type: profile
              Y: 2023
          Identifiers:
            – Type: isbn-print
              Value: 9781450395915
            – Type: isbn-electronic
              Value: 9781450395939
            – Type: isbn-electronic
              Value: 9781450395922
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              Value: 00041
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            – TitleFull: Applied Affective Computing
              Type: main
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