Everything about Affective computing
Emotion modeling in AI
Affective computing is the study and development of systems and devices that can recognize, interpret, process, and simulate human affects. It is an interdisciplinary field spanning computer science, psychology, and cognitive science. While some core ideas in the field may be traced as far back as to early philosophical inquiries into emotion, the modern idea originated with Rosalind Picard's 1995 paper entitled "Affective Computing" and her 1997 book of the same name published by MIT Press. One motivation for researching affective computing is the ability to give machines emotional intelligence, including simulating empathy. The goal is that a machine should interpret the emotional state of humans and adapt its behavior to those emotions, responding appropriately. Emotional AI is used to detect and recognize users' emotional states, and thereby offer real-time emotional support, such as generating personalized affective responses and interactions to regulate users emotions. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Affective computingA 5-minute orientation
- Skim a recent paper: A systematic review on affective computing: emotion models, databases, and recent advancesInfluential work since 2022
- Pick up a classic book: Ai and Human Thought and EmotionThe most-reprinted book on the subject
- Read the landmark paper: Affective Computing and Sentiment AnalysisCited 1,038 times
- Go sideways: Artificial empathyA closely related topic
- Go sideways: Emotion recognitionA closely related topic
📖 Definitions
Noun The study and development of systems and devices that can recognize, interpret, process, and simulate human affects.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Affective Computing and Sentiment Analysis
Affective computing: challenges
Affective Computing: From Laughter to IEEE
Affective Computing and Autism
Ten challenges for EEG-based affective computing
Toward Explainable Affective Computing: A Review
A survey on mobile affective computing
Affective computing
🆕 Influential since 2022
A systematic review on affective computing: emotion models, databases, and recent advances
Affective Computing: Recent Advances, Challenges, and Future Trends
A Large Finer-grained Affective Computing EEG Dataset
A Wide Evaluation of ChatGPT on Affective Computing Tasks
Ethical Considerations on Affective Computing: An Overview
📚 Books worth reading
Ai and Human Thought and EmotionSam Freed · 2019- 📕Affect and Embodied Meaning in AnimationSylvie Bissonnette · 2019
- 📕Resource Allocation and Performance Optimization in Communication Networks and the InternetLiansheng Tan · 2017
Dynamic Resource Allocation in Embedded, High-Performance and Cloud ComputingLeando Soares Indrusiak, Piotr Dziurzanski · 2016
Cognitive affective processesUlrich Moser · 1991
Coverbal Synchrony in Human-Machine InteractionMatej Rojc, Nick Campbell · 2013
Heart of the machineRichard Yonck · 2017
Sensing EmotionsJoyce Westerink · 2011
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
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