Crowdsourcing, cognitive load, and user interface design

Rahmanian, B and Davis, J 2013, 'Crowdsourcing, cognitive load, and user interface design', in Hepu Deng and Craig Standing (ed.) ACIS 2013: Information systems: Transforming the Future: Proceedings of the 24th Australasian Conference on Information Systems, Melbourne, Australia, 4-6 December, 2013, pp. 1-12.


Document type: Conference Paper
Collection: Conference Papers

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Title Crowdsourcing, cognitive load, and user interface design
Author(s) Rahmanian, B
Davis, J
Year 2013
Conference name 24th Australasian Conference on Information Systems (ACIS)
Conference location Melbourne, Australia
Conference dates 4-6 December, 2013
Proceedings title ACIS 2013: Information systems: Transforming the Future: Proceedings of the 24th Australasian Conference on Information Systems
Editor(s) Hepu Deng and Craig Standing
Publisher RMIT University
Place of publication Melbourne, Australia
Start page 1
End page 12
Abstract Harnessing human computation through crowdsourcing offers a new approach to solving complex problems, especially those that are relatively easy for humans but difficult for computers. Micro-tasking platforms such as Amazon Mechanical Turk have attracted large, on-demand workforces of millions of workers as well as hundreds of thousands of job requesters. Achieving high quality results and minimizing the total task execution times are the two of the main goals of these crowdsourcing systems. Drawing on cognitive load theory and usability design principles, we study the effects of different user interface designs on performance and the latency of crowdsourcing systems. Our results indicate that complex and poorly designed user interfaces contributed to lower worker performance and increased task latency.
Subjects Other Information and Computing Sciences
Keyword(s) Crowdsourcing
Cognitive Load
User Interface
Copyright notice © 2013. The Authors
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Created: Mon, 08 Dec 2014, 15:38:35 EST by Keely Chapman
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