Table 4.
A Description of the Spatiotemporal Properties Along With Their Corresponding Ranges
| Category | Property Name | Description | Range |
|---|---|---|---|
| Spatial | 1. PED: Amplitude | Describes the most frequent positional error observed. Higher values of amplitude for a mean of zero indicates better performance. | [0 1] |
| 2. PED: Mean | Describes the spatial offset. Values (in visual degrees) closer to zero indicate better performance. | [0 ∞] | |
| 3. PED: Standard Deviation | Describes the spatial uncertainty: the spread of the positional deviations. Lower values indicate better performance. | [0 ∞] | |
| 4. PED: adjusted R2 | Describes how close the positional error distribution resembles a Gaussian distribution. Values closer to 1 indicate better performance. | ≤1 | |
| Temporal | 5. Average Velocity CCG: Amplitude | Shows the maximum correlation between the stimuli and gaze velocities. Higher values indicate better performance. | [−1 1] |
| 6. Average Velocity CCG: Mean | Describes the temporal lag between stimuli and gaze velocities (in ms). Lower values indicate better performance. | [0 ∞] | |
| 7. Average Velocity CCG: Standard Deviation | Describes the temporal uncertainty: the time window (in ms) in which the observer is uncertain in their ability to track the stimulus. Lower values indicate better performance. | [0 ∞] | |
| 8. Average Velocity CCG: Adjusted R-squared | Describes how close the temporal tracking performance resembles a Gaussian distribution. Values closer to 1 indicate better performance. | ≤1 | |
| Integrated | 9. Observation noise variance | Describes the noise internal to the observer Sensory noise estimated by measuring the variance of the observational noise using a flipped Kalman filter. Lower values indicate better STP. | [0 ∞] |
| 10. Similarity | Cosine similarity between gaze and stimulus vectors of positions. Higher values indicate better STP. | [0 1] |
CCG, cross-correlogram; PED, positional error distribution.