This Figure showcases crucial eye gaze features with standard deviations for the three categories of the spatial thinking study. Figure depicts Fixation Duration, Saccade Amplitude, Saccade Peak Velocity, and Mean Pupil Diameter. Notably, 'Category 2' demonstrates the highest Fixation Duration, while 'Category 3' exhibits the most significant Saccade Amplitude. Moreover, 'Category 2' displays the highest Saccade Peak Velocity, signifying category variations. In contrast, the Mean Pupil Diameter remains relatively consistent across the categories. These insights into eye-tracking metrics can offer valuable avenues for further research and analysis within the study.

Figure illustrates the GSR (Galvanic Skin Response) Conductance CAL data for 38 individual participants over time. Each line on the plot corresponds to a different participant, labelled from 'Participant 1' to 'Participant 38'. The x-axis represents time, while the y-axis displays the GSR Conductance CAL value (Micro Siemens). As observed, the data patterns vary among participants, indicating unique physiological responses. This visualization offers a comprehensive view of how each participant's GSR Conductance values evolve over time, allowing for potential insights into their physiological responses during the experimental tasks.

Figure illustrates the average values of distinct EEG frequency bands: Delta, Alpha, Beta, Gamma, and Theta, accompanied by their standard deviations across the dataset comprising 38 participants. This graph provides valuable insights into the EEG frequency bands within various experimental categories. Notably, participants in 'Category 2' demonstrated notably higher Alpha band values, indicating potential cognitive distinctions. 'Category 3' participants exhibited elevated Beta band values, suggesting heightened cognitive engagement. Moreover, 'Category 2' participants displayed increased Theta band values, indicative of varying cognitive demands within this group. In the Gamma band, 'Category 2' exhibited higher values, implying differences in cognitive processing among categories. Lastly, 'Category 2' showcased elevated Delta band values, possibly indicating distinctions in cognitive engagement levels. The inclusion of standard deviations within each category further enriches our understanding of the variability in cognitive states. These variations in EEG patterns across categories hint at potential patterns or trends that researchers can explore in spatial thinking studies.

Figure showcases average counts and standard deviations for a sample set of emotions such as 'Engagement,' 'Surprise,' and 'Confusion' in different categories, shedding light on participants' emotional states during spatial thinking tasks. These differences in values with respect to categories present intriguing possibilities for future research directions.