Cognition, Action and Sustainability Unit, Department of Psychology, Albert-Ludwigs-Universitaet Freiburg, Engelbergerstrasse 41, 79085, Freiburg, Germany.
Research Cluster D2L2, University of Hagen, Universitaetsstrasse 27, 58097, Hagen, Germany.
Psychol Res. 2022 Sep;86(6):2007-2020. doi: 10.1007/s00426-021-01606-2. Epub 2021 Oct 27.
When the duration of a pre-target interval probabilistically predicts the identity of the target, participants typically form time-based expectancies: they respond faster to frequent interval-target combinations than to infrequent ones. Yet, previous research investigating the cognitive time-processing mechanisms underlying time-based expectancy assessed time-based expectancy always in situations with a binary set of intervals (i.e. short vs. long). Here we aim to test whether time-based expectancy transfers to more complex settings with three different predictive time intervals (short, medium, long) in which each predicts one of three different target stimuli with 80% probability. In three experiments we varied how the medium interval was computed (arithmetic mean, geometric mean, or in between both). Our results showed that participants were able to learn the time-event contingencies for the short and the long as well as for the medium interval, and were, thus able to flexibly redirect their target expectancy two times during the course of a trial. The evidence concerning the impact of the manipulation of the medium intervals' absolute duration on time-based expectancy was, however, mixed, as time-based expectancy for the medium interval could only be observed in one of three reported experiments. In sum, the findings of the present study suggest a previously unknown cognitive flexibility underlying time-based expectancy and offer important theoretical implications, challenging future research on the timing mechanisms involved in time-based expectancy.
当预目标间隔的持续时间以概率预测目标的身份时,参与者通常会形成基于时间的期望:他们对频繁的间隔-目标组合的反应比不频繁的组合更快。然而,以前研究认知时间处理机制的基于时间的期望的研究总是在具有二元间隔集的情况下评估基于时间的期望(即短与长)。在这里,我们旨在测试基于时间的期望是否可以转移到具有三个不同预测时间间隔(短、中、长)的更复杂的环境中,其中每个间隔以 80%的概率预测三种不同目标刺激之一。在三个实验中,我们改变了如何计算中间隔(算术平均值、几何平均值或两者之间)。我们的结果表明,参与者能够学习短和长以及中间隔的时间事件关联,并且能够在试验过程中灵活地将目标期望重新定向两次。然而,关于中间间隔绝对持续时间的操作对基于时间的期望的影响的证据是混合的,因为只能在三个报告的实验中的一个中观察到基于时间的期望的中间间隔。总之,本研究的发现表明基于时间的期望背后存在以前未知的认知灵活性,并提供了重要的理论意义,这对基于时间的期望中涉及的时间机制的未来研究提出了挑战。