Journal article

Human accuracy in mobile data collection

N van Berkel, J Goncalves, K Wac, S Hosio, AL Cox

International Journal of Human-Computer Studies | Elsevier Inc. | Published : 2020

Abstract

The collection of participant data ‘in the wild’ is widely employed by Human-Computer Interaction researchers. A variety of methods, including experience sampling, mobile crowdsourcing, and citizen science, rely on repeated participant contributions for data collection. Given this strong reliance on participant data, ensuring that the data is complete, reliable, timely, and accurate is key. Although previous work has made significant progress on ensuring that a sufficient amount of data is collected, the accuracy of human contributions has remained underexposed. In this article we argue for an emerging need for an increased focus on this aspect of human-labelled data. The articles published ..

View full abstract