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 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);
}
// Use this for initialization
void Start()
{
if (_valueInput == null || _expectedValuePrefab == null || _content == null || _valueInput == null ||
_addPredictButton == null || _expectancyLog == null)
{
Debug.LogWarning("Some of the needed prefabs or components are NULL. This object may not work properly!");
}
if (_addPredictButton != null)
{
_addPredictButton.onClick.AddListener(delegate
{
if (_emotivector == null)
{
Debug.LogWarning("Emotivector is NULL");
return;
}
float value = Convert.ToSingle(_valueInput.text);
_emotivector.AddValue(value);
_expectancyLog.text = _emotivector.ComputeExpectancy().ToString();
_emotivector.Predict();
UpdateGraph();
Debug.Log("Last Prediction Value: " + _emotivector.GetPredictions().Last());
});
}
}