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

Autor:	Raymond Fok, Kavi Asher Mankoff Dey, Jon E. Froehlich, Galen Weld, Paari Gopal, Shiven Bhatt, Michael Saugstad, Ather Sharif
Rok vydání:	2021
Předmět:	Change over time Human–computer interaction Computer science business.industry Change tracking Usability Street intersection business Crowdsourcing Track (rail transport) GeneralLiterature_MISCELLANEOUS
Zdroj:	ASSETS
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::451693207677fb7d4a69fca5f90e752e https://doi.org/10.1145/3441852.3476549 Zobrazit plný text záznamu