Walking and seeing - about the interaction of walking and visual in-formation processing

行走与观看——关于行走与视觉信息处理的交互

• 批准号: 517689457
• 负责人: Professor Dr. Edmund Wascher
• 金额: --
• 依托单位: Leibniz-Institut für Arbeitsforschung an der TU Dortmund (IfADo)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/517689457?language=en
• 关键词: Walking; seeing; about; interaction; walking

Mobile technology, such as mobile phones or data glasses, requires more and more cogni-tive/attentional resources to process digitally-enriched visual information while walking. The division of such resources between concurrent locomotion and information acquisition bears the risk of having a negative impact on both tasks. More specifically, it can be assumed that visual information intake influences gait, but also that challenges to gait control can lead to impaired visual perception. Wearable technologies that convey information during walking can therefore only be used safely if the influencing variables and limits of this mutual dependency are known. The aim of this project is to systematically investigate the interactions between the demands of visual information processing and gait on the level of basic research. Therefore, the dyad of concurrent walking and seeing needs to be investaigaed holistically in settings that systematically build on each other with increasing ecological validity – or closeness to reality. With the help of modern measurement methods (mobile EEG, mobile eye tracking, motion capturing) as well as examination environments that enable the systematic display of virtual environments (in an interactive gait laboratory, "Gait Realtime InterActive Lab", GRAIL), causes and effects of occurring interferences will be investigated.

移动技术，例如手机或数据眼镜，需要越来越多的认知/注意力资源来在行走时处理数字丰富的视觉信息。在并发运动和信息获取之间划分此类资源可能会对这两项任务产生负面影响。更具体地说，可以假设视觉信息的摄入会影响步态，但步态控制的挑战也会导致视觉感知受损。因此，只有在已知这种相互依赖性的影响变量和限制的情况下，才能安全地使用在步行过程中传递信息的可穿戴技术。本项目的目的是在基础研究层面系统地探讨视觉信息处理需求与步态之间的相互作用。因此，需要在系统地相互构建的环境中对同时行走和观看的二元组进行全面研究，以提高生态有效性（或接近现实）。借助现代测量方法（移动脑电图、移动眼动追踪、运动捕捉）以及能够系统显示虚拟环境的检查环境（在交互式步态实验室“步态实时交互实验室”，GRAIL），将调查发生干扰的原因和影响。