Difference between revisions of "Emotion Recognition Algorithms"

Emotion recognition algorithms are a form of emotion recognition technology that recognizes, infers, and harvests "emotions using data sources such as social media behavior, streaming service use, voice, facial expressions, and biometrics..." <ref>Andalibi, Nazanin and Buss, Justin. (2020). ''The Human in Emotion Recognition on Social Media: Attitudes, Outcomes, Risks;'. CHI 2020.</ref>. Emotion recognition algorithms are used in many different contexts including customer service (CITE), employment (CITE), health and wellbeing (CITE), and law enforcement (CITE). These algorithms can be useful in identifying information pertaining to the context, but they may also be invasive to individuals (CITE).

Emotion recognition algorithms are a form of emotion recognition technology that recognizes, infers, and harvests "emotions using data sources such as social media behavior, streaming service use, voice, facial expressions, and biometrics..." <ref>Andalibi, Nazanin and Buss, Justin. (2020). ''The Human in Emotion Recognition on Social Media: Attitudes, Outcomes, Risks;'. CHI 2020.</ref>. Emotion recognition algorithms are used in many different contexts including customer service (CITE), employment (CITE), health and wellbeing (CITE), and law enforcement (CITE). These algorithms can be useful in identifying information pertaining to the context, but they may also be invasive to individuals (CITE).