TY - GEN
T1 - The impact of screen size on crowdsourced image classification
AU - Ahuja, Vinod
AU - Wiggins, Andrea
AU - Mudhelli, Shivani
N1 - Publisher Copyright:
© 2019 Copyright held by the owner/author(s).
PY - 2019/11/9
Y1 - 2019/11/9
N2 - Screen size has potential to afect the results of crowdsourced image classification and impact data quality, even for simple tasks like determining whether an animal is present in an image or not. We evaluated the rates at which volunteers judged images to be blank for six Snapshot Safari citizen science projects on the Zooniverse platform, and found that in all but one project, people using mobile devices were more likely to say an image was blank than those using a desktop computer. Qalitative evaluation further demonstrated that screen brightness can also play a role in reliability for volunteers using mobile devices. These findings can be taken into consideration in the design and testing of apps and platforms for crowdsourced image classification to support reliability and data quality.
AB - Screen size has potential to afect the results of crowdsourced image classification and impact data quality, even for simple tasks like determining whether an animal is present in an image or not. We evaluated the rates at which volunteers judged images to be blank for six Snapshot Safari citizen science projects on the Zooniverse platform, and found that in all but one project, people using mobile devices were more likely to say an image was blank than those using a desktop computer. Qalitative evaluation further demonstrated that screen brightness can also play a role in reliability for volunteers using mobile devices. These findings can be taken into consideration in the design and testing of apps and platforms for crowdsourced image classification to support reliability and data quality.
UR - http://www.scopus.com/inward/record.url?scp=85076086242&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85076086242&partnerID=8YFLogxK
U2 - 10.1145/3311957.3359462
DO - 10.1145/3311957.3359462
M3 - Conference contribution
AN - SCOPUS:85076086242
T3 - Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW
SP - 127
EP - 131
BT - CSCW 2019 Companion - Conference Companion Publication of the 2019 Computer Supported Cooperative Work and Social Computing
PB - Association for Computing Machinery
T2 - 22nd ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2019
Y2 - 9 November 2019 through 13 November 2019
ER -