Tombu Mike, Jolicoeur Pierre
Department of Psychology, University of Waterloo, 200 University Avenue West, Waterloo, Ontario, Canada N2L 3G1.
Psychol Res. 2002 Nov;66(4):274-86. doi: 10.1007/s00426-002-0101-x. Epub 2002 Sep 21.
The goal of the present experiment was to test the predictions of Central Bottleneck and Central Capacity Sharing models. According to the Central Bottleneck model, dual task interference, as observed in the PRP paradigm, is caused by an all-or-none bottleneck in information processing. The Central Capacity Sharing model postulates that dual task interference is caused by a capacity limited process that can allocate capacity in a graded fashion. The Central Bottleneck model predicts no change in RT1 with decreasing SOA, whereas the Central Capacity Sharing model predicts that RT1 will increase with decreasing SOA and that the slope of the RT1 SOA effect will depend upon the difficulty of task 2. Subjects were required to perform a tone pitch judgement and shape-matching task in rapid succession. Task order was randomized and the SOA between the first and second stimulus varied from 50 to 1250 ms. Results from this experiment favour the Central Capacity Sharing model. The results were then run through simulations of both the Central Bottleneck and Central Capacity Sharing models. Results from the simulations also favoured the Central Capacity Sharing model. As the difficulty of the second task increased, more capacity was allocated to it, confirming the prediction that as task 2 difficulty increases, the RT1 SOA slope increases. The proportion of capacity allocated to the first task varied from.78 to.91 indicating that capacity can be allocated in a graded fashion.
本实验的目的是检验中央瓶颈模型和中央容量共享模型的预测。根据中央瓶颈模型,在PRP范式中观察到的双任务干扰是由信息处理中全或无的瓶颈引起的。中央容量共享模型假定双任务干扰是由一个容量有限的过程引起的,该过程可以以分级的方式分配容量。中央瓶颈模型预测随着刺激间隔(SOA)的减小,反应时1(RT1)不会改变,而中央容量共享模型预测RT1会随着SOA的减小而增加,并且RT1-SOA效应的斜率将取决于任务2的难度。要求受试者快速连续执行音调判断和形状匹配任务。任务顺序是随机的,第一个和第二个刺激之间的SOA从50到1250毫秒不等。本实验的结果支持中央容量共享模型。然后将结果通过中央瓶颈模型和中央容量共享模型进行模拟。模拟结果也支持中央容量共享模型。随着第二个任务难度的增加,更多的容量被分配给它,证实了随着任务2难度增加,RT1-SOA斜率增加的预测。分配给第一个任务的容量比例从0.78到0.91不等,表明容量可以以分级的方式分配。