The Effect of Walking on Auditory Localization, Visual Discrimination, and Aurally Aided Visual Search.

HUMAN FACTORS(2019)

引用 9|浏览6
暂无评分
摘要
Objective: The present study was designed to examine the impact that walking has on performance in auditory localization, visual discrimination, and aurally aided visual search tasks. Background: Auditory localization and visual search are critical skills that are frequently conducted by moving observers, but most laboratory studies of these tasks have been conducted on stationary listeners who were either seated or standing during stimulus presentation. Method: Thirty participants completed three different tasks while either standing still or while walking at a comfortable self-selected pace on a treadmill: (1) an auditory localization task, where they identified the perceived location of a target sound; (2) a visual discrimination task, where they identified a visual target presented at a known location directly in front of the listener; and (3) an aurally aided visual search task, where they identified a visual target that was presented in the presence of multiple visual distracters either in isolation or in conjunction with a spatially colocated auditory cue. Results: Participants who were walking performed auditory localization and aurally aided visual search tasks significantly faster than those who were standing, with no loss in accuracy. Conclusion: The improved aurally aided visual search performance found in this experiment may be related to enhanced overall activation caused by walking. It is also possible that the slight head movements required may have provided auditory cues that enhanced localization accuracy. Application: The results have potential applications in virtual and augmented reality displays where audio cues might be presented to listeners while walking.
更多
查看译文
关键词
dual task,time sharing,task switching,cognition,multisensory integration,sensory and perceptual processes,kinesthesis,proprioception,orientation,balance,virtual environments,simulation,virtual reality
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要