触觉背心障碍物检测预警系统中振动触觉模式的比较

A comparison of vibrotactile patterns in an early warning system for obstacle detection using a haptic vest

Applied Ergonomics · 2024
被引 10
ABS 3

中文导读

研究通过触觉背心比较了三种振动模式(点、列、波)在障碍物定位任务中的效果,发现视觉刺激反应更快,点与列模式比波模式更清晰快速,触觉背心适合低认知负荷的预警系统。

Abstract

Technical devices can enhance safety by warning people of unrecognized obstacles, particularly in traffic, wilderness, and industrial settings. This study aims to identify the most effective vibrotactile stimuli for localization tasks by developing and evaluating various types of vibrotactile alerts presented through a tactile vest with visual patterns. The study design involved comparing the time and consistency of interpreting visual stimuli and subsequent tactile stimuli. The tactile stimuli included: a ’point’ vibration on the left or right side of the back, a ’column’ pattern of five vibrations on one side of the back, and a ’wave’ pattern of vibrations running along the back from left to right or vice versa. The results indicated that reaction times to visual stimuli were significantly shorter than to vibration stimuli, suggesting that visual stimuli are suitable for alert systems with low cognitive load. The ’point’ and ’column’ patterns were recognized significantly faster and more clearly than the’wave’ pattern. Consequently, the haptic vest was classified as a potentially effective low cognitive load device in localization performance. The findings could inform the design of early warning systems for obstacle detection in real traffic situations. • We explored the potential of wearable haptic technologies as warning systems in road traffic scenarios. • We compared response times and consistency of interpretation of visual and vibrotactile alerts. • Response times for visual alerts were significantly shorter than for vibration alerts. • The ‘wave pattern’ performed worst, as it was the most ambiguously understood signal among the participants. • The participants rated the haptic vest as a useful device for road alert systems.

触觉技术人机交互交通安全预警系统