Abstract

Abstract: Micro-task markets such as Amazon’s Mechanical Turk represent a new paradigm for accomplishing work, in which employers can tap into a large population of workers around the globe to accomplish tasks in a fraction of the time and money of more traditional methods. However, such markets typically support only simple, independent tasks, such as labeling an image or judging the relevance of a search result. Here we present a general purpose framework for accomplishing complex tasks using micro-task markets. Our approach is inspired by the MapReduce framework for distributed processing and provides a scaffolding for complex human computation tasks. We describe our general framework, a web-based prototype, and case studies on article writing and decision making that demonstrate the benefits of the approach. This work has been funded in part by the National Science

Citations