ISSN 0439-755X
CN 11-1911/B
主办:中国心理学会
   中国科学院心理研究所
出版:科学出版社

心理学报

• •    

阻断范式中时间结构线索对预测运动的影响

秦奎元, 刘煜, 刘赛芳, 王朔, 刘鹏, 游旭群, 李苑   

  1. 西北大学公共管理学院(应急管理学院), 陕西 710127 中国
    陕西师范大学心理学院, 陕西 710061 中国
  • 收稿日期:2024-10-26 修回日期:2025-04-11 接受日期:2025-04-18
  • 基金资助:
    陕西省教育厅科研计划项目(24JK0233)

The Impact of Time Structure Cues on Prediction Motion Tasks in the Interruption Paradigm

QIN Kuiyuan, LIU Yu, LIU Saifang, WANG Shuo, LIU Peng, YOU Xuqun, LI Yuan   

  1. , 710127, China
    , 710061, China
  • Received:2024-10-26 Revised:2025-04-11 Accepted:2025-04-18
  • Supported by:
    Scientific Research Program Funded by Shaanxi Provincial Education Department(24JK0233)

摘要: 判断被遮挡的运动客体何时到达某一目标位置的任务称为预测运动任务。目前,时间结构在阻断范式中对预测运动任务的影响机制尚不清楚。实验1在采用连续实验探究时间结构对预测运动的影响,结果显示相较于时间结构不同条件,时间结构相同能够显著提高被试的任务绩效;实验2使用闪烁实验分离了视觉速度对预测运动的影响,结果显示时间结构相同也能够提高被试的任务绩效;实验3通过随机实验探究干扰条件下时间结构对预测运动的影响,结果显示时间结构相同也增加了被试判断的准确性。本研究表明在预测运动任务中,时间结构相同是提高个体任务绩效的关键因素,且在视觉通道内其作用具有稳定性。

关键词: 预测运动, 节律, 时间结构, 阻断范式

Abstract: The ability to accurately estimate the arrival time of a moving object at a specific location is crucial for a variety of everyday activities, such as catching a ball or avoiding obstacles while driving. This task, known as a prediction motion (PM) task, involves judging when a moving stimulus will arrive at a target position. The current study investigates the role of time structure in the interruption paradigm of PM tasks, focusing on how time structure affects prediction performance. Experiment 1 used a continuous experiment to explore the influence of time structure on PM tasks. A total of 25 university students participated in a task where a blue square moved from a starting point towards a target location, was occluded at an interception point, and then reappeared at the target location. Participants were required to judge whether the square arrived early or late at the target position. The results revealed that when the time structure was consistent (T = 1.0), participants showed significantly better task performance compared to inconsistent time structures (T ≠ 1.0). This suggests that a consistent time structure provides a reliable cue for participants to make more accurate predictions about the motion of the stimulus. Experiment 2 aimed to isolate the influence of visual speed on PM tasks by introducing a flicker condition where the moving stimulus was occluded even before reaching the interception point. This paradigm removed visual speed cues to explore the role of time structure cues in prediction motion tasks. The findings were consistent with Experiment 1, demonstrating that a consistent time structure improved task performance, even in the absence of visual speed information. This indicates that time structure is a strong predictor of performance in PM tasks, independent of the visual speed of the moving stimulus. Experiment 3 further investigated the stability of the time structure effect by introducing random interference conditions. In this random experiment, the moving stimulus flickered at random positions between the starting point and the interception point, disrupting the formation of a stable time structure. Despite the interference, the results showed that a consistent time structure (T = 1.0) still enhanced participants' task performance, indicating the stability of the time structure effect. This suggests that even under conditions of distraction or interference, the consistency of time structure remains a significant factor in improving predictive performance. In conclusion, the three experiments conducted in this study systematically demonstrated that a consistent time structure improves task performance in prediction motion tasks. This enhancement is robust across different task conditions and has a certain degree of stability. The findings provide empirical evidence for the role of cognitive factors in prediction motion tasks and suggest that individuals may utilize the rhythm of the time structure to guide their expectations and enhance performance. Future research employing neuroimaging techniques could further explore the neural mechanisms underlying the impact of time structure on prediction motion tasks, potentially revealing how the brain integrates time information to predict motion and guide behavior.

Key words: prediction motion task, rhythm, time structure, interruption paradigm