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Sowa, Konrad; Przegalinska, Aleksandra; Kovbasiuk, Anna; Ciechanowski, Leon; Triantoro, Tamilla; Gloor, Peter, 2025, "The personality profile of early generative AI adopters: a Big Five perspective", https://doi.org/10.18150/PKY6U0, RepOD, V1
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The dataset was collected as part of a pilot study investigating the relationship between the Big Five personality traits and user engagement with chatbots during the early stages of AI adoption. The study involved 62 participants, who were divided into two groups and asked to interact with a chatbot to complete predefined tasks. Data collected includes engagement duration, task performance metrics, and participants’ intentions to use AI in the future. Additionally, participants completed a validated Big Five personality assessment to determine individual trait profiles. The dataset served as the basis for analysis exploring how personality traits influence engagement patterns, with the goal of informing more personalized and effective chatbot design.
During the experiment participants were asked to solve pre-defined knowledge work related tasks. One group worked with a generative AI chatbot, the other worked alone (column B). The collected data comes from an experimental study. It includes pre-test (columns G-AD), task solutions developed by participants (columns BF-BI), post-test (columns AE-BE), big five results from Happimeter tool (columns BK-BO), and independent judges' scoring of task solution (columns C-F).
human-AI collaboration, generative AI, chatGPT
Kovbasiuk, A., Triantoro, T., Przegalińska, A., Sowa, K., Ciechanowski, L. and Gloor, P. (2024), "The personality profile of early generative AI adopters: a big five perspective", Central European Management Journal, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/CEMJ-02-2024-0067 https://doi.org/10.1108/CEMJ-02-2024-0067 doi: 10.1108/CEMJ-02-2024-0067
CC0 Creative Commons Zero 1.0
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