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What is Affective Computing?

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Affective computing is a type of artificial intelligence that seeks to understand and use emotion. It is the machine equivalent of emotional intelligence in humans. Affective computing has numerous applications related to improving computer-human interactions and interpreting human actions and behaviors.
Artificial intelligence can potentially detect human emotions using cues such as facial expressions, tone of voice, word usage or other inputs such as the way someone is typing or their body temperature. As with any powerful tool, this has potential to improve quality of life or make it worse depending on how it is applied and governed. Affective computing has broad privacy implications as your toaster could theoretically record your emotions and make this information available to companies and/or governments. Alternatively, emotions could be unrecorded and simply used to improve user interfaces such as a synthetic voice that can reflect a range of emotions in its tone.
Overview: Affective Computing
Artificial intelligence that seeks to understand and use emotion.
Improving user interfaces.
Interpreting human activities and intentions.
Privacy risks related to recording of emotions.
Potential for invasive technologies that serve to limit freedom of thought and expression.
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Artificial Intelligence

This is the complete list of articles we have written about artificial intelligence.
Affective Computing
Artificial Knowledge
Artificial Stupidity
Chinese Room
Decision Trees
Deep Learning
Deep Magic
Ensemble Learning
Event Processing
Forward Chaining
Fuzzy Logic
IT Biases
IT Examples
Machine Biases
Machine Unlearning
Predictive Analytics
Sentiment Analysis
Swarm Intelligence
Turing Test
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