Exemplo n.º 1
0
    private void EvaluateEndedSequence()
    {
        if ((float)_numberOfErrors / TestBlockData.NumberOfTargets > TestBlockData.ErrorThreshold / 100f)
        {
            Debug.Log("----Number of errors exceeds error threshold - Restarting current test sequence----");
            TestBlockData.Sequences[_sequenceIndex].SequenceOfRepeats++;
            _sequenceIndex--;
            _errorThresholdText.enabled = true;
            ClearInitialTargets();
            StopTest();
        }
        else
        {
            Debug.Log("----Test Sequence Completed Successfully----");
            //Calculate result data for sequence just completed
            List <double> dxs = new List <double>();
            List <double> aes = new List <double>();

            for (int i = 0; i < TestBlockData.Sequences[_sequenceIndex].Trials.Count; i++)
            {
                DxCalculationSet calcSet    = new DxCalculationSet();
                TestTrial        fromTarget = i == 0 ?
                                              TestBlockData.Sequences[_sequenceIndex].Trials[TestBlockData.Sequences[_sequenceIndex].Trials.Count - 1] :
                                              TestBlockData.Sequences[_sequenceIndex].Trials[i - 1];

                TestTrial toTarget = TestBlockData.Sequences[_sequenceIndex].Trials[i];

                calcSet.From      = GetTargetSpawnPosition(TestBlockData.Sequences[_sequenceIndex].TargetAmplitude, fromTarget.TargetAngle);
                calcSet.To        = GetTargetSpawnPosition(TestBlockData.Sequences[_sequenceIndex].TargetAmplitude, toTarget.TargetAngle);
                calcSet.Selection = calcSet.To + toTarget.TargetCenterError;

                double dx = TestDataHelper.CalculateDeltaX(calcSet);
                dxs.Add(dx);

                double a = TestDataHelper.CalculateA(calcSet);

                if (i == 0)
                {
                    aes.Add(a + dx);
                }
                else
                {
                    aes.Add(a + dx + dxs[i - 1]);
                }
            }

            TestBlockData.Sequences[_sequenceIndex].Throughput = TestDataHelper.CalculateThroughput(aes, dxs, TestBlockData.Sequences[_sequenceIndex].GetMovementTimes());
            TestBlockData.Sequences[_sequenceIndex].CalculateMeanMovementTime();
            TestBlockData.Sequences[_sequenceIndex].Errors = _numberOfErrors;
            TestBlockData.Sequences[_sequenceIndex].CalculateErrorRate();
            TestBlockData.Sequences[_sequenceIndex].EffectiveAmplitude          = TestDataHelper.Mean(aes);
            TestBlockData.Sequences[_sequenceIndex].EffectiveTargetWidth        = TestDataHelper.CalculateEffectiveWidth(dxs);
            TestBlockData.Sequences[_sequenceIndex].EffecttiveIndexOfDifficulty = TestDataHelper.CalculateEffectiveDifficultyIndex(aes, TestBlockData.Sequences[_sequenceIndex].EffectiveTargetWidth);

            StudyManager.Instance.AddLogDetail(TestBlockData, _sequenceIndex);

            ClearInitialTargets();
            StopTest();
        }
    }