Distance Estimation Training: A Proposed Model of Transfer

Abstract

Distance estimation is neither universally good nor universally bad. Rather, the level of accuracy generally depends on the task being performed. When misestimation does occur, training protocols have been implemented to improve one's ability to estimate distance. Unfortunately, results are mixed with regards to the effects of distance estimation training on subsequent task performance. Consequently, reliable statements regarding the conditions within which transfer will occur are limited. As a result, the ability to apply these mixed findings to real world situations is hampered. As a solution, a transfer model was created using the Two Visual Systems Hypothesis as a foundation. Interestingly, one area of the model lacks evidence. Specifically, the effects of perceptual-motor recalibration training on subsequent ventrally-guided distance estimation tasks are unclear.