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Medical Affective Computing: Medical Informatics Meets Affective Computing

1998
From advisory systems that understand emotional attitudes toward medical outcomes, to wearable computers that compensate for communication disability, to computer simulations of emotions and their disorders, the research agendas of medical informatics and affective computing-how and why to create computers that detect, convey, and even have emotions ...
openaire   +2 more sources

Computing affect in autonomous agents

2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL), 2012
In previous work we proposed that affect can be modeled in an autonomous agent. We report progress made since then—specifically, an improved understanding of the basis of our approach, a new version of the model used earlier, rationalized both in terms of the underlying neuroscience and the equations used to compute affect. We describe plans for future
Paul G. Joseph, Haim Levokwitz
openaire   +1 more source

Affective Computing for Healthcare: Recent Trends, Applications, Challenges, and Beyond

arXiv.org
Affective computing, which aims to recognize, interpret, and understand human emotions, provides benefits in healthcare, such as improving patient care and enhancing doctor-patient communication.
Yuanyuan Liu   +6 more
semanticscholar   +1 more source

The Ambient Politics of Affective Computing

Public culture, 2022
Much attention to affective computing has focused on its alleged ability to “tap into human affects,” a trope also foundational to broader theorizations about big-data surveillance.
A. Wu
semanticscholar   +1 more source

On Prompt Sensitivity of ChatGPT in Affective Computing

Affective Computing and Intelligent Interaction
Recent studies have demonstrated the emerging capabilities of foundation models like ChatGPT in several fields, including affective computing. However, accessing these emerging capabilities is facilitated through prompt engineering. Despite the existence
Mostafa M. Amin, Björn W. Schuller
semanticscholar   +1 more source

The role of reinforcement in affective computation

2013 IEEE Symposium on Computational Intelligence for Creativity and Affective Computing (CICAC), 2013
In this paper we review the functional role that reinforcement plays in notions of affective computation and emotion. We consider three core components of emotional activity - emotion triggers, actions and action tendencies, and feeling states - and evaluate each component in relation to reinforcement learning and behaviour theory as well as with ...
Robert Lowe, Tom Ziemke
openaire   +1 more source

Opacity, Transparency, and the Ethics of Affective Computing

IEEE Transactions on Affective Computing
Human opacity is the intrinsic quality of unknowability of human beings with respect to machines. The descriptive relationship between humans and machines, which captures how much information one can gather about the other, can be explicated using an ...
Manohar Kumar   +4 more
semanticscholar   +1 more source

Infusing Affective Computing Models into Advertising Research on Emotions

Journal of Advertising
This article discusses promising avenues for integrating affective computational approaches into advertising research on emotion. We review affective computing methods for different modalities—text, visual, and audio—and present advertising research ...
T. Wen   +5 more
semanticscholar   +1 more source

Bodily Electrodermal Representations for Affective Computing

IEEE Transactions on Affective Computing
The view of embodied emotion believes that emotions are the emotions of the body. While emotion-specific patterns of self-reported bodily sensation have been previously reported, the physiological bodily representation across emotions remains to be ...
Xinyu Shui   +7 more
semanticscholar   +1 more source

A survey on mobile affective computing

Computer Science Review, 2017
Abstract The spontaneous recognition of emotional states and personality traits of individuals has been puzzling researchers for years whereas pertinent studies demonstrating the progress in the field, despite their diversity, are still encouraging. This work surveys the most well-known research studies and the state-of-the-art on affect recognition ...
Eugenia A. Politou   +2 more
openaire   +1 more source

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