More frequent, shorter trials enhance acquisition in a training session: There is a free lunch!
More frequent, shorter trials enhance acquisition in a training session: There is a free lunch!
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DOI：
10.1037/xge0000910
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发表时间：
2022-01
期刊：
影响因子：
--
通讯作者：
Miller RR
中科院分区：
文献类型：
--
作者：
Murphy RA;Witnauer JE;Castiello S;Tsvetkov A;Li A;Alcaide DM;Miller RR
已发现两个事件之间的习得关系的强度取决于它们的总体统计关系，并可能与训练试验频率和试验持续时间有关。我们使用包含事件1-事件2配对(A试验)、事件1单独(B试验)、事件2单独(C试验)和无事件(D试验)的快速试验流程序报告了五个实验，其中试验频率和持续时间独立变化。关联判断随着A试验频率的增加而增加，随着B和C试验频率的增加而减少，而D试验频率对关联判断的影响不大。在五个实验中，也检测到了试验持续时间的微弱但往往显著的影响，它总是与试验频率方向相同。因此，试验的频率和持续时间都会影响学习，但频率的影响显然更大。重要的是，更多试验的好处远远超过了试验持续时间按比例减少所造成的效应规模的减少。在实验5中，尽管训练时间缩短，但持续时间相对较短的试验更多地增强了对权变判断的影响。我们考虑了相对于频率学习模型和基于信息的模型所观察到的“频率优势”。
The strength of the learned relation between two events, a model for causal perception, has been found to depend on their overall statistical relation, and might be expected to be related to both training trial frequency and trial duration. We report five experiments using a rapid-trial streaming procedure containing Event 1-Event 2 pairings (A trials), Event1-alone (B trials), Event2-alone (C trials), and neither event (D trials), in which trial frequencies and durations were independently varied. Judgements of association increased with increasing frequencies of A trials and decreased with increasing frequencies of both B and C trials, but showed little effect of frequency of D trials. Across five experiments, a weak but often significant effect of trial duration was also detected, which was always in the same direction as trial frequency. Thus, both frequency and duration of trials influenced learning, but frequency had decidedly stronger effects. Importantly, the benefit of more trials greatly outweighed the observed reduction in effect size caused by a proportional decrease in trial duration. In Experiment 5, more trials of proportionately shorter duration enhanced effects on contingency judgements despite a shortening of the training session. We consider the observed ‘frequency advantage’ with respect to both frequentist models of learning and models based on information.
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影响因子：
1.4
作者：
ALLAN, LG;JENKINS, HM
通讯作者：
JENKINS, HM
影响因子：
--
作者：
BUGELSKI, BR
通讯作者：
BUGELSKI, BR
DOI：
10.1037/xan0000125
发表时间：
2017-01-01
影响因子：
1.3
作者：
Harris, Justin A.;Andrew, Benjamin J.
通讯作者：
Andrew, Benjamin J.
影响因子：
5.4
作者：
Cheng, PW
通讯作者：
Cheng, PW
影响因子：
2.6
作者：
Griffiths, TL;Tenenbaum, JB
通讯作者：
Tenenbaum, JB