Exploring Crowdsourced Work in Low-Resource Settings
| Autor: | Joyojeet Pal, Colin Scott, Indrani Medhi Thies, Manu Chopra, William Thies, Vivek Seshadri |
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| Rok vydání: | 2019 |
| Předmět: |
Enthusiasm
Computer science business.industry media_common.quotation_subject 05 social sciences 020207 software engineering 02 engineering and technology Crowdsourcing Data science Work (electrical) Transcription (linguistics) 0202 electrical engineering electronic engineering information engineering 0501 psychology and cognitive sciences business 050107 human factors media_common |
| Zdroj: | CHI |
| DOI: | 10.1145/3290605.3300611 |
| Popis: | While researchers have studied the benefits and hazards of crowdsourcing for diverse classes of workers, most work has focused on those having high familiarity with both computers and English. We explore whether paid crowdsourcing can be inclusive of individuals in rural India, who are relatively new to digital devices and literate mainly in local languages. We built an Android application to measure the accuracy with which participants can digitize handwritten Marathi/Hindi words. The tasks were based on the real-world need for digitizing handwritten Devanagari script documents. Results from a two-week, mixed-methods study show that participants achieved 96.7% accuracy in digitizing handwritten words on low-end smartphones. A crowdsourcing platform that employs these users performs comparably to a professional transcription firm. Participants showed overwhelming enthusiasm for completing tasks, so much so that we recommend imposing limits to prevent overuse of the application. We discuss the implications of these results for crowdsourcing in low-resource areas. |
| Databáze: | OpenAIRE |
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