Computing Emotions
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Computing Emotions Brian Mac Namee John Kelleher Sarah Jane Delany School of Computing Dublin Institute of Technology Applied Intelligence Research Center
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Transcript of Computing Emotions
Computing Emotions
Brian Mac Namee John Kelleher
Sarah Jane Delany
School of Computing
Dublin Institute of Technology
Applied Intelligence Research Center
Quantitative Models of Emotion
RecognisingEmotions
Interesting Questions
Simulating Emotions
1 2
3 4
QUANTITATIVE MODELS OF EMOTION
Lang Model
Arousal
Valence
astonished
delighted
glad
happy
content
satisfied
calmbored
frustrated
annoyed
angry
alarmed
sad
Plutchik’s Wheel
Ortony, Clore& Collins (OCC)
Ortony, Clore& Collins (OCC)
Ortony, Clore& Collins (OCC)
EMOTION RECOGNITION
Emotion Recognition
Emotion recognition has a wide range of uses:
– Call centre monitoring
– Automated tutors
– Music retrieval
– Market research
– Online sentiment analysis
– Law enforcement
Training Examples
PredictionModel
Machine Learning
Algorithm
Training Examples
PredictionModel
Machine Learning
Algorithm
DisgustHappy
SadAngry
Training Examples
PredictionModel
Machine Learning
Algorithm
Positive Negative
Training Examples
PredictionModel
Machine Learning
Algorithm
Anger
Surprise Sadness
Disgust
Fear
Happiness
IDFeature
1Feature
2Feature
3Feature
4Feature
5
100 3.6 85 34 22 74
PredictionModel
IDFeature
1Feature
2Feature
3Feature
4Feature
5
100 3.6 85 34 22 74
PredictionModel
Happiness
IDFeature
1Feature
2Feature
3Feature
4Feature
5
100 3.6 85 34 22 74
Emotion Recognition Examples
Sentiment Analysis
Facial Emotion
Recognitionhttp://www.youtube.com/watch?v=45eLpzk6N34
http://www.semantic-api.com/demo-statistical-sentiment-analysis.html
EMOTION SIMULATION
Emotion Simulation
Emotion simulation is required in applications
in which we need to simulate emotions:
– Robotics
– Automated speech systems
– Games/entertainment systems
There are two key parts to emotion simulation:
– A model of emotion generation
– A system for emotion realization
Lang Model
Hand-crafted rules
about how particular
actions lead to changes
on the dimensions
within the model
Very application specific
Arousal
Valence
Insult
Compliment
The OCC Model
The OCC model has a sophisticated logical
formalism for the generation of emotions
Fear equals hope plus anticipated possible
failure
Failure after hope leads to disappointment
Emotion Realisation Examples
Emotion Generation Examples
Kismet etc: http://www.youtube.com/watch?v=FE0zyCkhcbg
http://web.media.mit.edu/~cynthiab/index.html
Emotion Generation Examples
Façade: www.interactivestory.nethttp://www.youtube.com/watch?v=GmuLV9eMTkg
INTERESTING QUESTIONS
Interesting Questions
What emotions are worth recognising and simulating and when?
Are there models of human-human interaction from which lessons about the usefulness of emotion can be learned?
What are the impacts of better emotional recognition and simulation for long term human robot interactions?
Does it matter that the whole thing is a charade? What happens when users see behind the curtain?
Thank You
Brian Mac Namee John Kelleher
Sarah Jane Delany
School of Computing
Dublin Institute of Technology
Applied Intelligence Research Center
