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Description: This preregistration describes our study set-up to investigate the effect of evolving avatar customization and fostering a sense of community on online crowd workers' experience (perceived workload, intrinsic motivation, and subjective engagement) and task-related outcomes (retention, task accuracy, and task execution time). The preregistration describes the research questions, study design, sampling plan, dependent and independent variables, and the analysis. The anonymized data and code used for this project can be found here: https://doi.org/10.4121/d6c4bb4c-fa4c-441a-888e-2ac8b8d9468c When using this dataset, please cite the dataset and the paper that describes the data collection procedures: de Groot, E., & Gadiraju, U. (2025). Data and code: Customizable and Evolving Avatars to Improve Worker Engagement and Foster a Sense of Community in Online Crowd Work (Version 1) [Data set]. 4TU.ResearchData. https://doi.org/10.4121/D6C4BB4C-FA4C-441A-888E-2AC8B8D9468C.V1 de Groot, E. C. S., & Gadiraju, U. (2024, May). " Are we all in the same boat?" Customizable and Evolving Avatars to Improve Worker Engagement and Foster a Sense of Community in Online Crowd Work. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (pp. 1-26).