Analysis of Signage using Eye-Tracking Technology

数字标牌 计算机视觉 跟踪(教育) 人工智能 跟踪系统
作者
Ming Tang
出处
期刊:Interdisciplinary journal of signage and wayfinding [University of Oklahoma Libraries]
卷期号:4 (1) 被引量:6
标识
DOI:10.15763/issn.2470-9670.2020.v4.i1.a56
摘要

Signs, in all their forms and manifestations, provide visual communication for wayfinding, commerce, and public dialogue and expression. Yet, how effectively a sign communicates and ultimately elicits a desired reaction begins with how well it attracts the visual attention of prospective viewers. This is especially the case for complex visual environments, both outside and inside of buildings. This paper presents the results of an exploratory research design to assess the use of eye-tracking (ET) technology to explore how placement and context affect the capture of visual attention. Specifically, this research explores the use of ET hardware and software in real-world contexts to analyze how visual attention is impacted by location and proximity to geometric edges, as well as elements of contrast, intensity against context, and facial features. Researchers also used data visualization and interpretation tools in augmented reality environments to anticipate human responses to alternative placement and design. Results show that ET methods, supported by the screen-based and wearable eye-tracking technologies, can provide results that are consistent with previous research of signage performance using static images in terms of cognitive load and legibility, and ET technologies offer an advanced dynamic tool for the design and placement of signage.

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