IEEE Access (Jan 2022)

Using the SOCIO Chatbot for UML Modeling: A Second Family of Experiments on Usability in Academic Settings

  • Ranci Ren,
  • Sara Perez-Soler,
  • John W. Castro,
  • Oscar Dieste,
  • Silvia T. Acuna

DOI
https://doi.org/10.1109/ACCESS.2022.3228772
Journal volume & issue
Vol. 10
pp. 130542 – 130562

Abstract

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After improving the SOCIO chatbot prototype model, we wanted to know how/if its usability has changed. An evidence-based empirical evaluation of the usability of SOCIO V1 (updated version) requires an extensive verification of the experimental results. A family of experiments is a method of verification whereby we can check if the experimental results are reproducible. Through comparison with the updated control tool Creately, we aimed to gain a better understanding of the usability of the collaborative modeling chatbot and how it could be improved based on experimental evidence of changes in terms of efficiency, effectiveness, satisfaction, and quality. A total of 87 students from three countries were recruited. We conducted a family of three experiments to compare the usability of SOCIO V1 and updated Creately in academic settings. Students appeared to be more satisfied with SOCIO V1, and SOCIO V1 scored better on completeness. There were no significant differences between the two tools regarding efficiency and quality. This study provides evidence on how to employ a family of experiments to improve chatbot usability and enrich knowledge on chatbot usability experimentation.

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