Abstract
Scientific research increasingly uses modern information-gathering methods such as crowdsourcing. There are several platforms that use the contribution of many individuals to perform specific tasks such as object identification in images. It is an interesting process to set up because it facilitates problem solving, analysis and data collection and knowledge sharing. Copilotr@ce is a platform set up for the analysis of graphomotor gestures. We show through an experiment still in progress the contributions of this tool for the implementation of crowdsourcing to meet the needs of annotation or evaluation of documents and graphomotor productions online.
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We would like to extend our heartfelt appreciation to the students, teachers and participants who have contributed to the evaluation campaigns.
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Gaëte, K., Rémi, C., Nagau, J. (2023). Copilotr@ce Put to the Crowdsourcing Test. In: Parziale, A., Diaz, M., Melo, F. (eds) Graphonomics in Human Body Movement. Bridging Research and Practice from Motor Control to Handwriting Analysis and Recognition. IGS 2023. Lecture Notes in Computer Science, vol 14285. Springer, Cham. https://doi.org/10.1007/978-3-031-45461-5_7
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