Home About Browse Search
Svenska


The CrowdWater game: A playful way to improve the accuracy of crowdsourced water level class data

Strobl, Barbara and Etter, Simon and van Meerveld, Ilja and Seibert, Jan (2019). The CrowdWater game: A playful way to improve the accuracy of crowdsourced water level class data. PLoS ONE. 14 , e0222579 , 1-23
[Journal article]

[img] PDF - Published Version
2MB

Abstract

Data quality control is important for any data collection program, especially in citizen science projects, where it is more likely that errors occur due to the human factor. Ideally, data quality control in citizen science projects is also crowdsourced so that it can handle large amounts of data. Here we present the CrowdWater game as a gamified method to check crowdsourced water level class data that are submitted by citizen scientists through the CrowdWater app. The app uses a virtual staff gauge approach, which means that a digital scale is added to the first picture taken at a site and this scale is used for water level class observations at different times. In the game, participants classify water levels based on the comparison of the new picture with the picture containing the virtual staff gauge. By March 2019, 153 people had played the CrowdWater game and 841 pictures were classified. The average water level for the game votes for the classified pictures was compared to the water level class submitted through the app to determine whether the game can improve the quality of the data submitted through the app. For about 70% of the classified pictures, the water level class was the same for the CrowdWater app and game. For a quarter of the classified pictures, there was disagreement between the value submitted through the app and the average game vote. Expert judgement suggests that for three quarters of these cases, the game based average value was correct. The initial results indicate that the CrowdWater game helps to identify erroneous water level class observations from the CrowdWater app and provides a useful approach for crowdsourced data quality control. This study thus demonstrates the potential of gamified approaches for data quality control in citizen science projects.

Authors/Creators:Strobl, Barbara and Etter, Simon and van Meerveld, Ilja and Seibert, Jan
Title:The CrowdWater game: A playful way to improve the accuracy of crowdsourced water level class data
Year of publishing :2019
Volume:14
Article number:e0222579
Number of Pages:23
Publisher:PLoS
ISSN:1932-6203
Language:English
Publication Type:Journal article
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Attribution 4.0
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 1 Natural sciences > 105 Earth and Related Environmental Sciences > Physical Geography
(A) Swedish standard research categories 2011 > 1 Natural sciences > 105 Earth and Related Environmental Sciences > Oceanography, Hydrology, Water Resources
Keywords:Data quality control, citizen science projects, gamified methods
URN:NBN:urn:nbn:se:slu:epsilon-p-106440
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-106440
Additional ID:
Type of IDID
DOI10.1371/journal.pone.0222579
Web of Science (WoS)000532345500023
ID Code:17178
Faculty:NJ - Fakulteten för naturresurser och jordbruksvetenskap
Department:(NL, NJ) > Dept. of Aquatic Sciences and Assessment
Deposited By: SLUpub Connector
Deposited On:07 Jul 2020 08:50
Metadata Last Modified:17 Aug 2020 21:08

Repository Staff Only: item control page

Downloads

Downloads per year (since September 2012)

View more statistics

Downloads
Hits