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Investigating the effects of ongoing-task bias on prospective memory

机译:调查持续任务偏见对潜在记忆的影响

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摘要

Event-based prospective memory (PM) refers to the cognitive processes required to perform a planned action upon encountering a future event. Event-based PM studies engage participants in an ongoing task (e.g., lexical decision-making) with an instruction to make an alternative PM response to certain items (e.g., items containing "tor"). The Prospective Memory Decision Control (PMDC) model, which provides a quantitative process account of ongoing-task and PM decisions, proposes that PM and ongoing-task processes compete in a race to threshold. We use PMDC to test whether, as proposed by the Delay Theory of PM costs, PM can be improved by biasing decision-making against a specific ongoing-task choice, so that the PM process is more likely to win the race. We manipulated bias in a lexical decision task with an accompanying PM intention. In one condition, a bias was induced against deciding items were words, and in another, a bias was induced against deciding items were non-words. The bias manipulation had little effect on PM accuracy but did affect the types of ongoing-task responses made on missed PM trials. PMDC fit the observed data well and verified that the bias manipulation had the intended effect on ongoing-task processes. Furthermore, although simulations from PMDC could produce an improvement in PM accuracy due to ongoing-task bias, this required implausible parameter values. These results illustrate the importance of understanding event-based PM in terms of a comprehensive model of the processes that interact to determine all aspects of task performance.
机译:基于事件的潜在存储器(PM)是指在遇到未来事件时执行计划操作所需的认知过程。基于事件的PM研究与参与者参与持续的任务(例如,词汇决策),其中指令是对某些项目进行替代PM的指示(例如,包含“TOR”的项目)。潜在记忆决策控制(PMDC)模型提供了正在进行的任务和PM决策的定量过程账户,提出了PM和正在进行的任务过程在竞争中竞争到阈值。我们使用PMDC测试,如PM成本延迟理论所提出的,可以通过偏见决策,以防止特定的持续任务选择,使PM过程更有可能赢得比赛。我们在随附的PM意图中操纵词汇决策任务中的偏见。在一个条件下,诱导反对决定物品的偏差是单词,并且在另一个中,诱导偏差反对决定物品是非词汇。偏置操作对PM准确性几乎没有影响,但确实影响了对未列的PM试验的持续任务响应的类型。 PMDC良好地拟合观察到的数据,并验证了偏置操作对持续的任务过程具有预期的影响。此外,尽管由于PMDC的模拟可能由于持续的任务偏差而产生PM精度的提高,但是这需要难以置信的参数值。这些结果说明了了解基于事件的PM的重要性,这些过程的综合模型相互作用以确定任务性能的所有方面。

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