Automation of the calculation of usability attributes in user tests using RPA and sentiment analysis

Authors

DOI:

https://doi.org/10.15665/rp.v22i2.3431

Keywords:

Análisis de sentimientos, automatización de procesos robóticos, pruebas de usabilidad, test con usuarios, usabilidad

Abstract

With the large number of apps deployed in cloud application stores, usability has become a fundamental attribute of software quality to enable user-centered de-sign. One of the challenges in usability tests is the automation of the process of determining the level of usability, based on the attributes of effectiveness, efficiency and satisfaction according to ISO 9241-11. This paper proposes as a contribution the use of robotic process automation (RPA) in the automatic determination of the attributes of effectiveness, efficiency and satisfaction in end-user tests, in order to estimate the level of usability of the software evaluated in these tests. For the development of this research, an adaptation of the itera-tive research pattern proposed by Pratt was used, so that 4 phases were de-fined: characterization of the tests, definition of the process, implementation of the process through RPA and evaluation of the automated process. From the metrics associated with effectiveness (number of subtasks per task), efficiency (times per task) and satisfaction (post-test questionnaire ratings and opinions), an automated process was designed and implemented using the UiPath tool, which in an Excel spreadsheet determines the percentage of effectiveness, the percentage and the percentage of satisfaction, incorporating the sentiment analysis approach in the calculation of the last attribute. The proof of concept performed by using the automated process was correctly developed, allowing to demonstrate its usefulness and contribution both in the optimization of the analysis times of a test with users, as well as in the incorporation of the sentiment analysis approach in the conventional analysis of this type of tests.

Author Biographies

  • Gabriel Elías Chanchí Golondrino, University of Cartagena

    Facultad de Ingeniería de la Universidad de Cartagena

  • Manuel Alejandro Ospina Alarcón, University of Cartagena

    Facultad de Ingeniería de la Universidad de Cartagena

  • Mónica Esther Ospino Pinedo, University of Cartagena

    Facultad de Ingeniería de la Universidad de Cartagena

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2024-10-23

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