Mechanical Novel: Crowdsourcing Complex Work through Reflection and Revision
| Autor: | Sarah Sterman, Allegra Argent Beal Cohen, Joy Kim, Michael S. Bernstein |
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| Rok vydání: | 2016 |
| Předmět: |
FOS: Computer and information sciences
Reflection (computer programming) business.industry Computer science 05 social sciences Computer Science - Human-Computer Interaction 020207 software engineering 02 engineering and technology Crowdsourcing Plot (graphics) Human-Computer Interaction (cs.HC) Crowdsource Creative work H.5.3 Crowds Workflow Work (electrical) Human–computer interaction 0202 electrical engineering electronic engineering information engineering 0501 psychology and cognitive sciences business 050107 human factors |
| Zdroj: | Understanding Innovation ISBN: 9783319609669 |
| DOI: | 10.48550/arxiv.1611.02682 |
| Popis: | Crowdsourcing systems accomplish large tasks with scale and speed by breaking work down into independent parts. However, many types of complex creative work, such as fiction writing, have remained out of reach for crowds because work is tightly interdependent: changing one part of a story may trigger changes to the overall plot and vice versa. Taking inspiration from how expert authors write, we propose a technique for achieving interdependent complex goals with crowds. With this technique, the crowd loops between reflection, to select a high-level goal, and revision, to decompose that goal into low-level, actionable tasks. We embody this approach in Mechanical Novel, a system that crowdsources short fiction stories on Amazon Mechanical Turk. In a field experiment, Mechanical Novel resulted in higher-quality stories than an iterative crowdsourcing workflow. Our findings suggest that orienting crowd work around high-level goals may enable workers to coordinate their effort to accomplish complex work. |
| Databáze: | OpenAIRE |
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