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Affective computing by Rosalind W. Picard

Affective computing Rosalind W. Picard ebook
Publisher: The MIT Press
Format: pdf
Page: 290
ISBN: 0262661152, 9780262661157

The company is one of several on a quest to use tech to understand our emotions—a field called affective computing. The ultimate goal being simulated empathy. I'm halfway through Rosalind Picard's Affective Computing, and I'm glad I picked it up. Affective computing is the study and development of systems and devices that can recognize, interpret, process, and simulate human affects. The Need for Affective Computing. According to the Massachusetts Institute of Technology – Media Lab: “Affective Computing is computing that relates to, arises from, or deliberately influences emotion or other affective phenomena” [3]. TACC develops real-time sets of interactive mobile apps, analytical tools, and methods that let people understand, and then influence, their subjective state of well-being (SWB). Affective computing involves the study and developments of systems that can recognize, interpret process and simulates human affects. Its aim is to design an AI that can process, recognize, interpret and simulate human affect. Technologies for Affect and Wellbeing Special Issue of the IEEE Transaction on Affective Computing. Affective computing is the branch of computer science that deals with the human affect. Anyone who can remember what it was like to have a computer before the iMac will know, emotion can have a huge impact on computers. Every time there was a Powerpoint presentation, electrodermal activity (a measure of interest) went down. The Computer Vision and Multimedia Laboratory and its Multimodal Interaction Group are looking for a PhD student in the field of physiological signals analysis and human-computer interaction. Is it necessary for an Intelligent Agent (IA) to have emotion? It combines Computer science, Human psychology and Cognitive science. The rise of emotionally-aware or 'affective' computing is set to change the way machines understand and interact with people. It's rare that a book about technology is still relevant, never mind ahead of the curve, 12 years after publication. For instance, the startup Affectiva analyzes facial expressions to discover how people feel about ads. Posted by javiergs on March 8, 2012 Leave a comment (0) Go to comments. ITLaguna 2012 Keynote: Building Adaptive Software: Software architecture meets Affective computing and Machine learning.