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Crowdsourcing as an Analytical Method: Metrology of Smartphone Measurements in Heritage Science

Brigham, R; Grau-Bové, J; Rudnicka, A; Cassar, M; Strlic, M; (2018) Crowdsourcing as an Analytical Method: Metrology of Smartphone Measurements in Heritage Science. [Editorial comment]. Angewandte Chemie , 130 (25) pp. 7545-7549. 10.1002/ange.201801743. Green open access

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Abstract

This research assesses the precision, repeatability, and accuracy of crowdsourced scientific measurements, and whether their quality is sufficient to provide usable results. Measurements of colour and area were chosen because of the possibility of producing them with smartphone cameras. The quality of the measurements was estimated experimentally by comparing data contributed by anonymous participants in heritage sites with reference measurements of known accuracy and precision. Participants performed the measurements by taking photographs with their smartphones, from which colour and dimensional data could be extracted. The results indicate that smartphone measurements provided by citizen scientists can be used to measure changes in colour, but that the performance is strongly dependent on the measured colour coordinate. The same method can be used to measure areas when the difference in colour with the neighbouring areas is large enough. These results render the method useful in some heritage science contexts, but higher precision would be desirable.

Type: Article
Title: Crowdsourcing as an Analytical Method: Metrology of Smartphone Measurements in Heritage Science
Open access status: An open access version is available from UCL Discovery
DOI: 10.1002/ange.201801743
Publisher version: https://doi.org/10.1002/ange.201801743
Language: English
Additional information: © 2018 The Authors. Published by Wiley-VCH Verlag GmbH & Co. KGaA. This is an open access article under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/).
Keywords: Citizen Science, Crowdsourcing, Farbanalyse, Kulturelles Erbe, Smartphone
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10055750
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