The influence of training and experience on memory strategy.

This paper investigates whether, and if so how much, prior training and experience overwrite the influence of the constraints of the task environment on strategy deployment. This evidence is relevant to the theory of soft constraints that focuses on the role of constraints in the task environment (Gray, Simms, Fu, & Schoelles, Psychological Review, 113: 461-482, 2006). The theory explains how an increase in the cost of accessing information induces a more memory-based strategy involving more encoding and planning. Experiments 1 and 3 adopt a traditional training and transfer design using the Blocks World Task in which participants were exposed to training trials involving a 2.5-s delay in accessing goal-state information before encountering transfer trials in which there was no access delay. The effect of prior training was assessed by the degree of memory-based strategy adopted in the transfer trials. Training with an access delay had a substantial carry-over effect and increased the subsequent degree of memory-based strategy adopted in the transfer environment. However, such effects do not necessarily occur if goal-state access cost in training is less costly than in transfer trials (Experiment 2). Experiment 4 used a fine-grained intra-trial design to examine the effect of experiencing access cost on one, two, or three occasions within the same trial and found that such experience on two consecutive occasions was sufficient to induce a more memory-based strategy. This paper establishes some effects of training that are relevant to the soft constraints theory and also discusses practical implications.

Improving the effectiveness of an interruption lag by inducing a memory-based strategy.

The memory for goals model (Altmann & Trafton, 2002) posits the importance of a short delay (the 'interruption lag') before an interrupting task to encode suspended goals for retrieval post-interruption. Two experiments used the theory of soft constraints (Gray, Simms, Fu & Schoelles, 2006) to investigate whether the efficacy of an interruption lag could be improved by increasing goal-state access cost to induce a more memory-based encoding strategy. Both experiments used a copying task with three access cost conditions (Low, Medium, and High) and a 5-s interruption lag with a no lag control condition. Experiment 1 found that the participants in the High access cost condition resumed more interrupted trials and executed more actions correctly from memory when coupled with an interruption lag. Experiment 2 used a prospective memory test post-interruption and an eyetracker recorded gaze activity during the interruption lag. The participants in the High access cost condition with an interruption lag were best at encoding target information during the interruption lag, evidenced by higher scores on the prospective memory measure and more gaze activity on the goal-state during the interruption lag. Theoretical and practical issues regarding the use of goal-state access cost and an interruption lag are discussed.