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Annals of Computer Science and Information Systems, Volume 8

Proceedings of the 2016 Federated Conference on Computer Science and Information Systems

Design of Crowdsourcing System for Analysis of Gravitational Flow using X-ray Visualization

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DOI: http://dx.doi.org/10.15439/2016F288

Citation: Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 8, pages 1613–1619 ()

Full text

Abstract. The paper describes application of the Crowdsourcing system to pre-process of X-ray tomography images. In this paper, we show the analysis of the Crowdsourcing system applied to process tomography imaging to investigate granular flow with aid of tracking particles. Applying Crowdsourcing approach coupled with a proper system interface design enhances the performance of the workers and elevates the attitude. We show here how analysis of the proposed systems in terms of user adoption and performance. Proposed interface features are designed based on previous work evaluation in order to reduce the cognitive and physical workload demands.

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