Atelier: Repurposing Expert Crowdsourcing Tasks as Micro-internships
February 22, 2016 ยท Declared Dead ยท ๐ International Conference on Human Factors in Computing Systems
"No code URL or promise found in abstract"
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Authors
Ryo Suzuki, Niloufar Salehi, Michelle S. Lam, Juan C. Marroquin, Michael S. Bernstein
arXiv ID
1602.06634
Category
cs.HC: Human-Computer Interaction
Citations
91
Venue
International Conference on Human Factors in Computing Systems
Last Checked
2 months ago
Abstract
Expert crowdsourcing marketplaces have untapped potential to empower workers' career and skill development. Currently, many workers cannot afford to invest the time and sacrifice the earnings required to learn a new skill, and a lack of experience makes it difficult to get job offers even if they do. In this paper, we seek to lower the threshold to skill development by repurposing existing tasks on the marketplace as mentored, paid, real-world work experiences, which we refer to as micro-internships. We instantiate this idea in Atelier, a micro-internship platform that connects crowd interns with crowd mentors. Atelier guides mentor-intern pairs to break down expert crowdsourcing tasks into milestones, review intermediate output, and problem-solve together. We conducted a field experiment comparing Atelier's mentorship model to a non-mentored alternative on a real-world programming crowdsourcing task, finding that Atelier helped interns maintain forward progress and absorb best practices.
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