Influence of task difficulty on Judgment Efficiency Under the Condition of Implicit Learning (in Chinese)

Abstract

In this research, a system of various levels of task difficulty was set up by a complex rule. Three characteristics of implicit learning were detected with this system: 1) Implicit learning didn't work under the condition of the most difficult task. 2) When the task became easier, implicit learning started working on some level of task difficulty. 3) The efficiency of implicit learning would become higher if the task became easier; but there was a limit to the efficiency of implicit learning. A conclusion could be made indirectly that implicit learning acquired some kind of exemplar information.