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Proceedings ArticleDOI

Subcontracting Microwork

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TLDR
It is argued that crowdwork platforms can improve their value proposition for all stakeholders by supporting subcontracting within microtasks by defining three models for microtask subcontracting: real-time assistance, task management, and task improvement.
Abstract
Mainstream crowdwork platforms treat microtasks as indivisible units; however, in this article, we propose that there is value in re-examining this assumption. We argue that crowdwork platforms can improve their value proposition for all stakeholders by supporting subcontracting within microtasks. After describing the value proposition of subcontracting, we then define three models for microtask subcontracting: real-time assistance, task management, and task improvement, and reflect on potential use cases and implementation considerations associated with each. Finally, we describe the outcome of two tasks on Mechanical Turk meant to simulate aspects of subcontracting. We reflect on the implications of these findings for the design of future crowd work platforms that effectively harness the potential of subcontracting workflows.

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わかりやすい障害者の権利条約 : 知的障害のある人の権利のために = Convention on the rights of persons with disabilities

修 長瀬
TL;DR: A brief overview of the status of the Convention as at 3 August 2007 is presented and recent efforts of the United Nations and agencies to disseminate information on the Convention and the Optional Protocol are described.
Journal ArticleDOI

Modus Operandi of Crowd Workers: The Invisible Role of Microtask Work Environments

TL;DR: ModOp is introduced, a tool that helps to design crowdsourcing microtasks that are suitable for diverse crowd work environments and empirically shows that the use of ModOp results in reducing the cognitive load of workers, thereby improving their user experience without affecting the accuracy or task completion time.
Journal ArticleDOI

Crowd Coach: Peer Coaching for Crowd Workers' Skill Growth

TL;DR: Crowd Coach as discussed by the authors is a system that enables workers to receive peer coaching while on the job and has been shown to enhance workers' speed without sacrificing their work quality, especially in audio transcription tasks.
Journal ArticleDOI

Paying Crowd Workers for Collaborative Work

TL;DR: This paper characterize existing collaborative tasks based on the types of information available to crowd workers, and applies concepts from equity theory to show how fair payments relate to worker motivation, and proposes two theoretically grounded classes of fair payments.
Journal ArticleDOI

Distributed Apprenticeship in Online Communities

TL;DR: This work draws from theories of apprenticeship to introduce an emergent theory of distributed apprenticeship, which outlines how community expectations of transparency and mutual support allow for instruction to be directed by a distributed network of nonexperts.
References
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Journal ArticleDOI

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Proceedings ArticleDOI

The future of crowd work

TL;DR: This paper outlines a framework that will enable crowd work that is complex, collaborative, and sustainable, and lays out research challenges in twelve major areas: workflow, task assignment, hierarchy, real-time response, synchronous collaboration, quality control, crowds guiding AIs, AIs guiding crowds, platforms, job design, reputation, and motivation.
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