SoCS: Collaborative Research: Strategies for Crowdsourcing Complex Design Work

SoCS：协作研究：众包复杂设计工作的策略

• 批准号: 1208382
• 负责人: Steven Dow
• 金额: $ 37.5万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1208382&HistoricalAwards=false
• 关键词: SoCS; Collaborative; Research; Strategies; Crowdsourcing

This project investigates how education and training methods from traditional work settings can be applied to paid online crowdsourcing. The focus is on how methods such as scaffolding, examples, critique, and apprenticeship affect worker performance, learning, task perseverance, and satisfaction. The project will produce guidelines for a more sustainable crowdsourcing infrastructure where employers can embed relevant domain knowledge into online tasks, and workers can learn key principles and then train less experienced members. The research focuses on worker-centered training strategies in the domain of visual design, which will yield knowledge about effective design principles and instructional methods for visual design. Broader impacts: The project will contribute to increase the availability of online work. It will expand the capabilities and skills of crowd workers, thereby allowing online work to become a more viable part of the American economy. The project will also lead to novel methods for organizations to achieve complex visual design work. More generally, the project will lead to new knowledge about how to train crowds to perform a complex activity and produce practical guidelines to help requesters write tasks and manage the crowd. Finally, the project will provide interdisciplinary training for graduate and undergraduate students in socio-computational system design, HCI concepts, educational theory, and evaluation methodologies. All course materials will be available online for reuse and adaptation. Undergraduate researcher training will focus on supporting underrepresented student groups.

该项目研究如何将传统工作环境中的教育和培训方法应用于付费在线众包。重点是脚手架、示例、批评和学徒等方法如何影响工人的绩效、学习、任务毅力和满意度。该项目将为更可持续的众包基础设施制定指南，雇主可以将相关领域知识嵌入到在线任务中，工人可以学习关键原则，然后培训经验不足的成员。该研究的重点是视觉设计领域以工人为中心的培训策略，这将产生有关视觉设计的有效设计原则和教学方法的知识。更广泛的影响：该项目将有助于提高在线工作的可用性。它将扩展众包工作者的能力和技能，从而使在线工作成为美国经济中更可行的一部分。 该项目还将为组织带来实现复杂视觉设计工作的新方法。更一般地说，该项目将带来有关如何训练人群执行复杂活动的新知识，并制定实用指南来帮助请求者编写任务和管理人群。最后，该项目将为研究生和本科生提供社会计算系统设计、人机交互概念、教育理论和评估方法方面的跨学科培训。所有课程材料都可以在线获取，以便重复使用和改编。本科生研究员培训将侧重于支持代表性不足的学生群体。