Future of Work Institute, Curtin University, Perth, Western Australia, Australia.
School of Psychological Science, The University of Western Australia, Perth, Western Australia, Australia.
Q J Exp Psychol (Hove). 2020 Sep;73(9):1495-1513. doi: 10.1177/1747021820914915. Epub 2020 Apr 9.
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.
基于事件的前瞻性记忆 (PM) 是指在遇到未来事件时执行计划行为所需的认知过程。基于事件的 PM 研究使参与者参与一项正在进行的任务(例如,词汇决策),并指示他们对某些项目(例如,包含“tor”的项目)做出替代 PM 反应。前瞻性记忆决策控制 (PMDC) 模型提供了一个对正在进行的任务和 PM 决策的定量过程解释,该模型提出 PM 和正在进行的任务过程在竞争中达到阈值。我们使用 PMDC 来测试是否如 PM 成本的延迟理论所提出的,通过偏向特定的正在进行的任务选择来改善 PM 决策,可以使 PM 过程更有可能赢得比赛。我们在伴随 PM 意图的词汇决策任务中操纵偏向。在一种情况下,诱导对判断项目是单词的偏向,在另一种情况下,诱导对判断项目是非单词的偏向。偏向操纵对 PM 准确性几乎没有影响,但确实影响了错过 PM 试验上的正在进行的任务反应类型。PMDC 很好地拟合了观察数据,并验证了偏向操纵对正在进行的任务过程的预期影响。此外,尽管 PMDC 的模拟可以由于正在进行的任务偏向而提高 PM 准确性,但这需要不合理的参数值。这些结果说明了从全面的任务绩效过程模型的角度理解基于事件的 PM 的重要性。