The Tuning of Human Motor Response to Risk in a Dynamic Environment Task

被引:17
作者
Dunning, Amber [1 ]
Ghoreyshi, Atiyeh [1 ]
Bertucco, Matteo [1 ]
Sanger, Terence D. [1 ,2 ,3 ,4 ]
机构
[1] Univ So Calif, Dept Biomed Engn, Los Angeles, CA 90089 USA
[2] Univ So Calif, Dept Neurol, Los Angeles, CA USA
[3] Univ So Calif, Dept Biokinesiol, Los Angeles, CA USA
[4] Childrens Hosp Los Angeles, Los Angeles, CA 90027 USA
来源
PLOS ONE | 2015年 / 10卷 / 04期
关键词
STATISTICAL DECISION-THEORY; UNCERTAINTY; PERCEPTION;
D O I
10.1371/journal.pone.0125461
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The role of motor uncertainty in discrete or static space tasks, such as pointing tasks, has been investigated in many experiments. These studies have shown that humans hold an internal representation of intrinsic and extrinsic motor uncertainty and compensate for this variability when planning movement. The aim of this study was to investigate how humans respond to uncertainties during movement execution in a dynamic environment despite indeterminate knowledge of the outcome of actions. Additionally, the role of errors, or lack thereof, in predicting risk was examined. In the experiment, subjects completed a driving simulation game on a two-lane road. The road contained random curves so that subjects were forced to use sensory feedback to complete the task and could not rely only on motor planning. Risk was manipulated by using horizontal perturbations to create the illusion of driving on a bumpy road, thereby imposing motor uncertainty, and altering the cost function of the road. Results suggest continual responsiveness to cost and uncertainty in a dynamic task and provide evidence that subjects avoid risk even in the absence of errors. The results suggest that humans tune their statistical motor behavior based on cost, taking into account probabilities of possible outcomes in response to environmental uncertainty.
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页数:12
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