Table 6.
Training data (average accuracy and average number of trials to complete training) for DA, KC, and RFR on the RPS, Geometric Shapes, Abstract Objects, Shapes-Unitized, and Abstract-Unitized conditions across sessions
| Amnesic patient | Sessions | Measure | Condition |
||||
|---|---|---|---|---|---|---|---|
| RPS | Geometric Shapes | Abstract Objects | Shapes-Unitized | Abstract-Unitized | |||
| D.A. | 8–13 | Accuracy (SD) | 0.99 (0) | 0.96 (0.03) | 0.97 (0.03) | 0.96 (0.02) | 0.93 (0.06) |
| No. of trials (SD) | 207 (0) | 207 (0) | 207 (0) | 207 (0) | 208.5 (3.67) | ||
| K.C. | 8–10 | Accuracy (SD) | 0.99 (0.01) | 0.55 (0.05) | 0.53 (0.03) | 1.00 (0.00) | 1.00 (0.00) |
| No. of trials (SD) | 207 (0) | 282 (44.40) | 232 (22.72) | 207 (0) | 207 (0) | ||
| R.F.R. | 8, 8–10 | Accuracy (SD) | 0.52 | 0.92 (0.09) | |||
| No. of trials (SD) | 234.00 | 207 (0) | |||||
D.A. demonstrates near perfect performance during training across all conditions. K.C. demonstrates near perfect training performance for RPS (known objects with known relations). K.C.'s training accuracy is low for Geometric Shapes and Abstract Objects; however, K.C.'s performance is at or near perfect throughout training across sessions when unitization procedures are implemented (Shapes-Unitized, Abstract-Unitized). Similar to K.C., R.F.R.'s training accuracy is consistently higher when unitization procedures are used.