在模拟天气条件下移动时识别单词
Francisco Rocabado1, Natasha Alonso-Bernal1, Jon Andoni Duñabeitia1,2
1Centro de Investigación Nebrija en Cognición (CINC), Department of Education, Universidad Nebrija, Madrid, Spain.
PloS one
|July 10, 2025
概括
雨等恶劣天气会在虚拟现实驾驶时减缓单词识别,但不会影响准确性. 虚拟现实有效模拟现实世界的驾驶条件,以研究阅读理解.
科学领域:
- 认知心理学 认知心理学
- 人与计算机的交互
- 运输安全运输安全
背景情况:
- 道路安全取决于在驾驶过程中处理语言信息.
- 恶劣的天气条件可能会对阅读理解和视觉处理产生负面影响.
- 虚拟现实 (VR) 提供了一个可控的环境来模拟现实世界的感知挑战.
研究的目的:
- 为了研究不同天气条件 (晴天与雨天) 对模拟驾驶过程中的文字识别的影响.
- 评估虚拟现实 (VR) 在为认知研究创建生态有效的驱动场景方面的有效性.
- 检查环境因素,单词频率和在移动时的阅读性能之间的相互作用.
主要方法:
- 参与者驾驶在一个真实的VR环境中,遇到道路标志上的单词.
- 在模拟驱动过程中,一个词识别和命名任务被管理.
- 在阳光和雨天情景之间操纵了天气状况.
主要成果:
- 高频单词比低频单词更准确地被识别,这证实了频率效应.
- 与阳光条件相比,在雨天的条件下,词识别反应时间较慢.
- 雨对处理速度的负面影响随着时间的推移而增加,这表明疲劳或适应效应.
结论:
- 虚拟现实 (VR) 是研究现实世界驾驶和阅读交互的宝贵工具.
- 恶劣的天气会影响驾驶过程中的认知处理速度,但不一定会影响识别的准确性.
- 环境条件在导航动态设置时显著影响阅读理解和性能.
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