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About 5,894 papers for “Affective computing”

Affective Computing

Bernd Bösel · J.B. Metzler eBooks · 2019

Es ist kaum zweifelhaft, dass künftige historische Rückblicke die Entwicklung affekt-sensibler und affekt-responsiver Technologien als einen logischen, wenn nicht gar notwendigen Schritt auf dem Epoche machenden Weg der Digitalisierung betrachten werden. Der Einsatz dieser Entwicklung zur Mitte der 1990er Jahre ist gewiss ebenso wenig ein Zufall. Kaum hatte die Neurowissenschaft die fundamentale Bedeutung der Emotionen für kognitive Prozesse bestätigt; kaum hatte die Populärwissenschaft mit erheblichen Folgen für das Privat- wie auch das Berufsleben die Entwicklung und Übung emotionaler Intelligenz beworben; als am MIT auch schon eine Forschungsgruppe eingerichtet wurde, die sich seither mit der Frage beschäftigt, wie man künstliche emotionale Intelligenz erreichen und für den Alltagsgebrauch implementieren kann (s. Kap. II.G.22). Überraschen wird künftig allenfalls, wie sehr dieser eigentlich logische Schritt von der Initiative einer einzelnen Forscherin abhängig gewesen sein soll, die der neuen Disziplin den bleibenden Namen gab.

Cited by 0

Affective Computing

Newton Lee, Newton Lee · Encyclopedia of Computer Graphics and Games · 2024

Cited by 0

Affective Computing

Ramón Zataraín Cabada, Héctor Manuel Cárdenas López, Hugo Jair Escalante · 2023

Cited by 0

Affective Computing

Maja Panitc · 2009

We seem to be entering an era of enhanced digital connectivity. Computers and the Internet have become so embedded in the daily fabric of people’s lives that they simply cannot live without them

Cited by 0

Affective Computing

Gyanendra K. Verma · BENTHAM SCIENCE PUBLISHERS eBooks · 2023

With the invention of high-power computing systems, machines are expected to show intelligence at par with human beings. A machine must be able to analyze and interpret emotions to demonstrate intelligent behavior. Affective computing not only helps computers to improve performance intelligently but also helps in decision-making. This chapter introduces affective computing and related issues that influence emotions. This study also provides an overview of human.computer interaction (HCI) and the possible use of different modalities for HCI. Further, challenges in affective computing are also discussed, along with the application of affective computing in various areas.

Cited by 2

Affective Computing

Yates, Heath · ScholarSpace - JCCC (Johnson County Community College) · 2017

The author provides an in-depth history of affective computing and its potential in the near-term future.

Cited by 0

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????????? · Scholarworks@UNIST (Ulsan National Institute of Science and Technology) · 2020

??? ????????? ????????? ??????????????????(communication)??? ???????????????(computation) ??? ??????????????? ??????????????? ????????? ?????????, ?????????????????? ????????? ??????????????? ????????????. ??? ??????????????? ?????? ??????????????? ????????????????????????, ??????, ??????, ??????, ??????, ????????? ?????? ?????? ????????? ???????????? ???????????? ??????????????????????????? ?????? ????????? ??????????????? ??????. ??? ????????? ???????????? ???????????? ???????????? ???????????? ???????????? ??? ???????????? ??????????????? ?????????????????? ???????????? ?????????. ????????? ????????? ???????????????????????? ????????? ??????(technical reasoning)??? ?????????????????? ?????? ????????? ????????? ?????? ??? ????????? ?????????????????? ???????????? ????????? ????????? ?????? ????????? ?????????????????? ????????? ????????????.

Cited by 0

Affective Computing

Rosalind W. Picard · PsycEXTRA Dataset · 1997

According to Rosalind Picard, if we want computers to be genuinely intelligent and to interact naturally with us, we must give computers the ability to recognize, understand, even to have and express emotions. The latest scientific findings indicate that emotions play an essential role in decision making, perception, learning, and more—that is, they influence the very mechanisms of rational thinking. Not only too much, but too little emotion can impair decision making. According to Rosalind Picard, if we want computers to be genuinely intelligent and to interact naturally with us, we must give computers the ability to recognize, understand, even to have and express emotions. Part 1 of this book provides the intellectual framework for affective computing. It includes background on human emotions, requirements for emotionally intelligent computers, applications of affective computing, and moral and social questions raised by the technology. Part 2 discusses the design and construction of affective computers. Although this material is more technical than that in Part 1, the author has kept it less technical than typical scientific publications in order to make it accessible to newcomers. Topics in Part 2 include signal-based representations of emotions, human affect recognition as a pattern recognition and learning problem, recent and ongoing efforts to build models of emotion for synthesizing emotions in computers, and the new application area of affective wearable computers.

Cited by 5,051Open access

Affective Computing

Jimmy Or · 2008

This book provides an overview of state of the art research in Affective Computing. It presents new ideas, original results and practical experiences in this increasingly important research field. The book consists of 23 chapters categorized into four sections. Since one of the most important means of human communication is facial expression, the first section of this book (Chapters 1 to 7) presents a research on synthesis and recognition of facial expressions. Given that we not only use the face but also body movements to express ourselves, in the second section (Chapters 8 to 11) we present a research on perception and generation of emotional expressions by using full-body motions. The third section of the book (Chapters 12 to 16) presents computational models on emotion, as well as findings from neuroscience research. In the last section of the book (Chapters 17 to 22) we present applications related to affective computing.

Cited by 4

Future of Affective Computing and Applied Affective Computing

Leimin Tian, Sharon Oviatt, Michał Muszyński et al. · ACM eBooks · 2022

chapter Future of Affective Computing and Applied Affective Computing Authors: Leimin Tian Monash University Monash UniversitySearch about this author , Sharon Oviatt Monash University Monash UniversitySearch about this author , Michal Muszynski Carnegie Mellon University and University of Geneva Carnegie Mellon University and University of GenevaSearch about this author , Brent C. Chamberlain Utah State University Utah State UniversitySearch about this author , Jennifer Healey Adobe Research, San Jose Adobe Research, San JoseSearch about this author , Akane Sano Rice University Rice UniversitySearch about this author Authors Info & Claims Applied Affective ComputingJanuary 2022https://doi.org/10.1145/3502398.3502411Published:07 February 2022Publication History 0citation6DownloadsMetricsTotal Citations0Total Downloads6Last 12 Months4Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access

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Affective Neuroscience for Affective Computing

Thomas D. Parsons · Cambridge University Press eBooks · 2017

A summary is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.

Cited by 0

Multimodal Affective Computing

Ramón Zataraín Cabada, Héctor Manuel Cárdenas López, Hugo Jair Escalante · 2023

This book presents various Artificial Intelligence methodologies that can be used to implement affective states in intelligent learning environments.

Cited by 2Open access

Applied Affective Computing

Leimin Tian, Sharon Oviatt, Michał Muszyński et al. · ACM eBooks · 2022

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

Cited by 21