A feasibility study of crowdsourcing and Google street view to determine sidewalk accessibility
We explore the feasibility of using crowd workers from Amazon Mechanical Turk to identify and rank sidewalk accessibility issues from a manually curated database of 100 Google Street View images. We examine the effect of three different interactive labeling interfaces (Point, Rectangle, and Outline)...
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| Main Authors: | , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2012
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/4009 https://ink.library.smu.edu.sg/context/sis_research/article/5011/viewcontent/Hara_AFeasibilityStudyOfCrowdsourcingAndGoogleStreetViewToDetermineSidewalkAccessibility_ASSETS2012PosterPaper.pdf |
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| Institution: | Singapore Management University |
| Language: | English |