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A recent VentureBeat article referenced Gartner analyst Whit Andrews saying that more and more companies are entering an era where artificial intelligence (AI) is an aspect of every new project. One such AI application uses facial recognition to analyze expressions based on a person’s faceprint to detect their internal emotions or feelings, motivations and attitudes.
Known as emotion AI or affective computing, this application is based on the theory of “basic emotions” [$], which states that people everywhere communicate six basic internal emotional states — happiness, surprise, fear, disgust, anger and sadness — using the same facial movements based on our biological and evolutionary origins.
On the surface, this assumption seems reasonable, as facial expressions are an essential aspect of nonverbal communications.
A recent paper from tech industry analyst firm AIMultiple states emotion AI is an emerging technology that “enables computers and systems to identify, process, and simulate human feelings and emotions.” It is an interdisciplinary field that blends computer science, psychology and cognitive science to aid businesses to make better decisions, often to improve reliability, consistency and efficiency.
How emotion AI is being utilized
Among its current uses, emotion AI software is widely deployed for scoring video interviews with job candidates for characteristics such as “enthusiasm,” “willingness to learn,” “conscientiousness and responsibility” and “personal stability.” The software is also used by border guards to detect threats at border checkpoints, as an aid for detection and diagnosis of patients for mood disorders, to monitor classrooms for boredom or disruption, and to monitor human behavior during video calls.
The use of such technology is growing in popularity. In South Korea, for example, the use of emotion AI has become so common in job interviews [$] that job coaches often make their clients practice going throu …