Analysis
Text response analysis
Statistical analysis of the text response was done in great detail. Article for findings is published and in referered as below.
- Analysis of Factors Affecting the Auditory Attention of Non-native Speakers in e-Learning Environments, The Electronic Journal of e-Learning, 19(3), pp. 159-169. PDF
Interaction between Noise and Semanticity over Attention Score.
One of the most interesting findings we had from this study was a dimishing gap of attenstion level of between semantic vs non-semnatic stimuli (as shown below in left).
Clustering groups of experimentation conditions based on attention scores.
This figure shows the hierarchical clustering analysis of all the experimental conditions with attention score.
- For more detail, please check the paper
- To download the tabular data for statistical analysis check here
- Download tabular data
Signal analysis - for feature engineering
Some of the analysis done on the signals are presented in the paper: Automatic and tunable algorithm for EEG artifact removal using wavelet decomposition with applications in predictive modeling during auditory tasks. Biomedical Signal Processing and Control, 55, 101624. [PDF]
Spectral Analysis
One of the most fundamental analysis done on physiological data, specifically EEG is spectral analysis. In these figures, the affect of artifact removal algorithm is shown.
Statistical analysis
This figure shows, how distribution of EEG signal changes with ATAR algorithm.
Event Related Pontential analysis
All the event related analysis are plotted as a structure shown below, which places the ERP analysis of a electrode in its repective location with respect to topographical arangement.
ERP Analysis of Semanticity
ERP Analysis of Noise Level
ERP Analysis of LWR Task
