Difference between revisions of "Emotion Recognition Algorithms"
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| − | 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), and these algorithms can be useful in identifying information pertaining to the context, but they may also be invasive to individuals (CITE). | + | Emotion recognition algorithms (EAIs) 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), and these algorithms can be useful in identifying information pertaining to the context, but they may also be invasive to individuals (CITE). |
== History == | == History == | ||
| + | == EAIs on Social Media == | ||
== Benefits and Harms of EAIs == | == Benefits and Harms of EAIs == | ||
Latest revision as of 17:30, 25 January 2022
Emotion recognition algorithms (EAIs) 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..." [1]. Emotion recognition algorithms are used in many different contexts including customer service (CITE), employment (CITE), health and wellbeing (CITE), and law enforcement (CITE), and these algorithms can be useful in identifying information pertaining to the context, but they may also be invasive to individuals (CITE).
History
EAIs on Social Media
Benefits and Harms of EAIs
See also
References
- ↑ Andalibi, Nazanin and Buss, Justin. (2020). The Human in Emotion Recognition on Social Media: Attitudes, Outcomes, Risks;'. CHI 2020.
