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arXiv · 2408.14088

Perceived Usability of Collaborative Modeling Tools

Ranci Ren·John W. Castro·Santiago R. Acuña·Oscar Dieste·Silvia T. Acuña
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Abstract

Context: Online collaborative creation of models is becoming commonplace. Collaborative modeling using chatbots and natural language may lower the barriers to modeling for users from different domains. Objective: We compare the perceived usability of two similarly online collaborative modeling tools, the SOCIO chatbot and the Creately web-based tool. Method: We conducted a crossover experiment with 66 participants. The evaluation instrument was based on the System Usability Scale (SUS). We performed a quantitative and qualitative exploration, employing inferential statistics and thematic analysis. Results: The results indicate that chatbots enabling natural language communication enhance communication and collaboration efficiency and improve the user experience. Conclusion: Chatbots need to improve guidance and help for novices, but they appear beneficial for enhancing user experience.

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Ranci Ren, John W. Castro, Santiago R. Acuña, Oscar Dieste, Silvia T. Acuña. 2024-08-26. Perceived Usability of Collaborative Modeling Tools. https://doi.org/10.1016/j.jss.2023.111807

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