实验性人群+人工智能方法跟踪人行道交叉口随时间变化的可访问性特征

Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility Pub Date : 2021-10-17 DOI:10.1145/3441852.3476549

Ather Sharif, Paari Gopal, Michael Saugstad, Shiven Bhatt, Raymond Fok, Galen Cassebeer Weld, Kavi Dey, Jon E. Froehlich

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引用次数: 7

摘要

人行道是如何随时间变化的?这种变化有地理或社会经济模式吗?这些问题很重要，但很难用当前的GIS工具和技术来解决。在这篇演示论文中，我们介绍了三个初步的人群+AI(人工智能)原型来跟踪十字路口可达性随时间的变化，特别是路边坡道，并报告了一项试点可用性研究的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Experimental Crowd+AI Approaches to Track Accessibility Features in Sidewalk Intersections Over Time

How do sidewalks change over time? Are there geographic or socioeconomic patterns to this change? These questions are important but difficult to address with current GIS tools and techniques. In this demo paper, we introduce three preliminary crowd+AI (Artificial Intelligence) prototypes to track changes in street intersection accessibility over time—specifically, curb ramps—and report on results from a pilot usability study.

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Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility

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