多感官感知和决策与一个新的感官技能.
James Negen1, Laura-Ashleigh Bird2, Heather Slater3
1School of Psychology, Liverpool John Moores University.
概括
人们可以学习新的感官技能,将它们与视觉相结合,以更快,更精确的决策. 这种学习显示了多感官感知和决策的灵活性,即使是短时间的培训.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 人类的感知 人类的感知
背景情况:
- 人类可以获得新的感官技能,为世界状态绘制新的输入.
- 将新的感官技能融入多感官感知和决策的灵活性在很大程度上仍未被探索.
研究的目的:
- 研究如何灵活地嵌入新的感官技能在多感官感知和决策.
- 测试高效的多感官感知和决策标记器,使用一种用于远距离感知的新听觉暗示.
主要方法:
- 训练有素的参与者 (N=12) 在虚拟环境中与视觉线索一起使用听觉线索来测距离.
- 采用基于模型的分析来评估多感官集成和决策效率.
- 评估决策速度,并发任务的干扰,以及与视觉信息的贝叶斯式集成.
主要成果:
- 14名参与者中有12人成功地学会了使用远距离判断的新型听觉暗示.
- 新的感官技能提高了决策速度,并显示了对数字跨度任务干扰的弹性.
- 听觉线索以贝叶斯式的方式与视觉相结合,提高了感知精度,尽管好处不够理想,缺乏强制信号融合.
结论:
- 个人可以在短时间的培训后将新的感官技能嵌入灵活的多感官感知和决策中.
- 学习的感官技能增强了感知能力,这对开发感官增强系统有影响.
- 已识别的局限性 (次优化,缺乏融合) 为未来研究这些能力的边界和神经基础提供了途径.
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