Statements (50)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:technology
|
| gptkbp:alsoKnownAs |
affective computing
|
| gptkbp:analyzes |
body language
facial expressions text sentiment voice tone |
| gptkbp:application |
automotive
education entertainment healthcare marketing customer service |
| gptkbp:canBe |
gptkb:education_technology
gptkb:security gaming robotics personalization market research virtual assistants driver monitoring mental health monitoring lie detection user experience improvement |
| gptkbp:challenge |
privacy concerns
ethical issues accuracy bias |
| gptkbp:coinedBy |
gptkb:Rosalind_Picard
|
| gptkbp:enables |
emotion recognition
emotion detection emotion synthesis |
| gptkbp:field |
gptkb:artificial_intelligence
|
| gptkbp:firstDescribed |
1995
|
| gptkbp:focusesOn |
interpreting human emotions
recognizing human emotions simulating human emotions |
| https://www.w3.org/2000/01/rdf-schema#label |
Emotion AI
|
| gptkbp:portfolioCompany |
gptkb:Emotient
gptkb:Affectiva gptkb:Beyond_Verbal gptkb:Realeyes Kairos |
| gptkbp:relatedTo |
human-computer interaction
sentiment analysis affective neuroscience |
| gptkbp:uses |
gptkb:machine_learning
computer vision natural language processing |
| gptkbp:bfsParent |
gptkb:nViso
|
| gptkbp:bfsLayer |
7
|