NDLI: Quality assurance in document conversion: a hit?

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Quality assurance in document conversion: a hit?

Content Provider	ACM Digital Library
Author	Becker, Christoph
Abstract	This paper discusses challenges and opportunities of using human computation and crowdsourcing for the task of quality assurance in document conversion processes and proposes a hybrid computer-human system approach. Digital content is never presented to a user directly, but always needs an intermediate presentation that is generated through an algorithm (such as a document viewer) that interprets data. When converting data such as documents, the question of authenticity of the derived representation of these documents requires a comparison of the intellectually perceivable outcome of different interpretations. Such Quality Assurance is a key obstacle to scalability in document conversion processes. Currently, there is a severe lack of scalable techniques. We argue that this comparison is a Human Intelligence Task (HIT). To investigate the feasibility, potential pitfalls and key challenges in leveraging the wisdom of the crowd for this task, we have conducted several pilot experiments. We describe and discuss these experiments, and identify a number of key challenges that need to be addressed. In particular, we discuss the questions of motivation; task semantics; presentation and interaction design; and quality control. Finally, we outline a proposal to address these challenges in a hybrid computer-human system.
Starting Page	5
Ending Page	10
Page Count	6
File Format	PDF
ISBN	9781450309615
DOI	10.1145/2064058.2064061
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-10-24
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Crowdsourcing Hybrid computation Quality assurance Human intelligence task Digital preservation Document conversion
Content Type	Text
Resource Type	Article

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