Project Sidewalk: A Web-based Crowdsourcing Tool for Collecting Sidewalk Accessibility Data At Scale

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Universal & Inclusive DesignCitizen Science & Crowdsourced DataPedestrians & Vulnerable Road UsersSocial WorkersAmazon Mechanical Turk Workers

We introduce Project Sidewalk, a new web-based tool that enables online crowdworkers to remotely label pedestrian-related accessibility problems by virtually walking through city streets in Google Street View. To train, engage, and sustain users, we apply basic game design principles such as interactive onboarding, mission-based tasks, and progress dashboards. In an 18-month deployment study, 797 online users contributed 205,385 labels and audited 2,941 miles of Washington DC streets. We compare behavioral and labeling quality differences between paid crowdworkers and volunteers, investigate the effects of label type, label severity, and majority vote on accuracy, and analyze common labeling errors. To complement these findings, we report on an interview study with three key stakeholder groups (N=14) soliciting reactions to our tool and methods. Our findings demonstrate the potential of virtually auditing urban accessibility and highlight tradeoffs between scalability and quality compared to traditional approaches.

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https://hci.top/en/papers/chi/3537/2019

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Paper Snapshot

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Source
CHI
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Year
2019
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Best Paper
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Authors
11 authors
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Subtopics
Universal & Inclusive Design, Citizen Science & Crowdsourced Data
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Professions
Pedestrians & Vulnerable Road Users, Social Workers, Amazon Mechanical Turk Workers
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Abstract only
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