Department of Psychology, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
Cogn Psychol. 2013 Aug-Sep;67(1-2):26-54. doi: 10.1016/j.cogpsych.2013.06.001. Epub 2013 Jul 27.
There can be systematic biases in time estimation when it is performed in complex multitasking situations. In this paper we focus on the mechanisms that cause participants to tend to respond too quickly and underestimate a target interval (250-400 ms) in a complex, real-time task. We hypothesized that two factors are responsible for the too-early bias: (1) Memory contamination from an even shorter time interval in the task, and (2) time pressure to take appropriate actions in time. In a simpler experiment that was focused on just these two factors, we found a strong too-early bias when participants estimated the target interval in alternation with a shorter interval and when they had little time to perform the task. The too-early bias was absent when they estimated the target interval in isolation without contamination and time pressure. A strong too-late bias occurred when the target interval alternated with a longer interval and there was no time pressure to respond. The effects were captured by incorporating the timing model of Taatgen and van Rijn (2011) into the ACT-R model for the Space Fortress task (Bothell, 2010). The results show that to properly understand time estimation in a dynamic task one needs to model the multiple influences that are occurring from the surrounding context.
在复杂的多任务情境中进行时间估计时,可能会存在系统偏差。本文重点研究了导致参与者倾向于过快反应并低估复杂实时任务中目标间隔(250-400 毫秒)的机制。我们假设有两个因素导致过早偏差:(1)任务中更短时间间隔的记忆污染,以及(2)及时采取适当行动的时间压力。在一个更简单的实验中,我们专注于这两个因素,发现当参与者在交替进行目标间隔和更短间隔的任务中进行估计时,以及当他们只有很少的时间完成任务时,会出现强烈的过早偏差。当他们在没有污染和时间压力的情况下单独估计目标间隔时,过早偏差就不存在了。当目标间隔与较长间隔交替出现且没有响应时间压力时,会出现强烈的过晚偏差。这些效应通过将 Taatgen 和 van Rijn(2011)的时间模型纳入 Space Fortress 任务的 ACT-R 模型(Bothell,2010)来捕获。结果表明,要正确理解动态任务中的时间估计,需要对来自周围环境的多种影响进行建模。