Project Sidewalk
| Autor: | Ryan Holland, Jon E. Froehlich, Aditya Dash, Anthony Li, Manaswi Saha, Steven Bower, Kotaro Hara, Sage Chen, Michael Saugstad, Hanuma Teja Maddali, Aileen Zeng |
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| Rok vydání: | 2019 |
| Předmět: |
Computer science
business.industry media_common.quotation_subject 05 social sciences Stakeholder 020207 software engineering 02 engineering and technology Onboarding Crowdsourcing World Wide Web Game design Software deployment Scalability 0202 electrical engineering electronic engineering information engineering Web application 0501 psychology and cognitive sciences Quality (business) business 050107 human factors media_common |
| Zdroj: | CHI |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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