public override Emotivector Update(History history, User user)
{
if (Emotivector == null)
{
return(null);
}
var state = PersistentDataStorage.Instance.GetState();
// TODO HACK
JSONArray values = state[Name].AsArray;
if (_count < values.Count)
{
int i;
for (i = _count; i < values.Count - 1; i++)
{
Emotivector.AddValue(MathUtils.Normalize(values[i], Min, Max));
Emotivector.Predict();
}
// Don't predict the last addition
Emotivector.AddValue(MathUtils.Normalize(values[i], Min, Max));
_count = values.Count;
return(Emotivector);
}
return(null);
}
public override Emotivector Update(History history, User user)
{
if (Emotivector == null)
{
return(null);
}
var values = GetListFromValues();
if (_count < values.Count)
{
int i;
for (i = _count; i < values.Count - 1; i++)
{
Emotivector.AddValue(MathUtils.Normalize(values[i], Min, Max));
Emotivector.Predict();
}
// Don't predict the last addition
Emotivector.AddValue(MathUtils.Normalize(values[i], Min, Max));
_count = values.Count;
return(Emotivector);
}
return(null);
}
private void Start()
{
Emotivector emotivector;
// IPredictor predictor = new MartinhoSimplePredictor();
// IPredictor predictor = new MovingAveragePredictor();
// IPredictor predictor = new WeightedMovingAveragePredictor();
// IPredictor predictor = new ExponencialMovingAveragePredictor();
// IPredictor predictor = new FirstDerivativeOnlyPredictor(new WeightedMovingAveragePredictor());
// IPredictor predictor = new AdditiveFirstDerivativePredictor(new WeightedMovingAveragePredictor(),
// new WeightedMovingAveragePredictor());
IPredictor predictor = new AdditiveSecondDerivativePredictor(new WeightedMovingAveragePredictor(),
new WeightedMovingAveragePredictor(), new WeightedMovingAveragePredictor());
if (PopulateEmotivector)
{
emotivector = new Emotivector("Data", predictor, Values);
}
else
{
emotivector = new Emotivector("Data", predictor);
}
RunTutorPersonalityTest(emotivector);
if (_viewDebugger)
{
_viewDebugger.SetEmotivector(emotivector);
}
}
private static void RunTutorPersonalityTest(Emotivector emotivector)
{
Tutor joao = new Tutor("Joao");
Tutor maria = new Tutor("Maria");
joao.Personality = new ExpectancyPersonality(new Emotion[3, 6]
{
{
/* Negative */
new Emotion(EmotionEnum.Anger, .5f),
new Emotion(EmotionEnum.Neutral, 1f),
new Emotion(EmotionEnum.Surprise, .2f),
new Emotion(EmotionEnum.Anger, .2f),
new Emotion(EmotionEnum.Neutral, 1f),
new Emotion(EmotionEnum.Surprise, .8f)
},
{
/* Neutral */
new Emotion(EmotionEnum.Sadness, .3f),
new Emotion(EmotionEnum.Neutral, 1f),
new Emotion(EmotionEnum.Happiness, .6f),
new Emotion(EmotionEnum.Sadness, .2f),
new Emotion(EmotionEnum.Neutral, 1f),
new Emotion(EmotionEnum.Happiness, .8f)
},
{
/* Positive */
new Emotion(EmotionEnum.Sadness, .2f),
new Emotion(EmotionEnum.Neutral, 1f),
new Emotion(EmotionEnum.Happiness, .2f),
new Emotion(EmotionEnum.Sadness, .2f),
new Emotion(EmotionEnum.Neutral, 1f),
new Emotion(EmotionEnum.Happiness, 1f)
}
});
maria.Personality = joao.Personality;
var emotivectorAppraisal = new EmotivectorAppraisal();
var updater = new ValuesCheckAffectiveUpdater {
Emotivector = emotivector
};
emotivectorAppraisal.AddUpdater(updater);
IAffectiveAppraisal appraisal = emotivectorAppraisal;
Debug.Log(joao.Emotion);
emotivector.AddValue(.65f);
appraisal.ComputeUserEmotion(null, null);
appraisal.ComputeTutorEmotion(null, null, joao);
Debug.Log(joao.Emotion);
emotivector.AddValue(.4f);
appraisal.ComputeUserEmotion(null, null);
appraisal.ComputeTutorEmotion(null, null, joao);
Debug.Log(joao.Emotion);
}
public void SetEmotivector(Emotivector emotivector)
{
_emotivector = emotivector;
UpdateGraph();
}
