MUMSPI: A Model for Usability Measurement of Single-Platform Interface for Multi-Tasking in Big Data Tools

This study presents MUMSPI, a model to evaluate the usability of a single-platform interface that supports multi-tasking, compared to command line interface (CLI) in Big Data workflows. Eighty IT participants performed the same tasks using Hadoop, Sqoop, and Python through two interfaces: the Linux Terminal and Jupyter Notebook. Usability was measured across five dimensions such as effectiveness, efficiency, learnability, robustness, and satisfaction. Results show that Jupyter outperformed the Terminal in all areas, with higher task completion (85.18%), faster execution (38.33 minutes), fewer errors (35.12%), and better user satisfaction (SUS score: 70.31%). Overall MUMSPI scores were 74.03% for Jupyter and 45.95% for the Terminal. These results confirm MUMSPI’s value and support the use of integrated graphical environments for better usability, especially for users with limited technical skills.