Solution to Analysis of IT System User Behaviour Using AI/ML Algorithms

[1] K. Schwab, The Fourth Industrial Revolution. Geneva: World Economic Forum, 2016. Search in Google Scholar

[2] E. Voskresenskaya, L. Vorona-Slivinskaya, and S. Panov, “Digital transformation of social sector as the factor of development and security of the country,” in E3S Web of Conferences, vol. 135, Art no. 03075, Dec. 2019. https://doi.org/10.1051/e3sconf/20191350307510.1051/e3sconf/201913503075 Search in Google Scholar

[3] S. Hofmann and N. Ogonek, “Different but still the same? How public and private sector organisations deal with new digital competences”, Journal of E-Government, vol. 16, no. 2, pp. 127–135, Dec. 2018. Search in Google Scholar

[4] L. Maxwell, E. Taner, and G. M. Jonathan, “Digitalisation in the public sector: Determinant factors,” International Journal of IT/Business Alignment and Governance, vol. 10, no. 2, Art no. 3, pp. 35–52, 2019. https://doi.org/10.4018/IJITBAG.201907010310.4018/IJITBAG.2019070103 Search in Google Scholar

[5] O. Ņikiforova, V. Zabiniako, J. Kornienko, M. Gasparoviča-Asīte, and A. Siliņa, “Mapping of source and target data for application to machine learning driven discovery of IS usability problems,” Applied Computer Systems, vol. 26, no. 1, pp. 22–30, 2021. https://doi.org/10.2478/acss-2021-000310.2478/acss-2021-0003 Search in Google Scholar

[6] P. Osipov, L. Aleksejeva, A. Borisov, Y. Chizhov, T. Zmanovska, and V. Zabiniako, “Implementation and operation aspects of a system for detecting abnormally level of user activity,” Automatic Control and Computer Sciences, vol. 51, no. 6, pp. 417–425, Nov. 2017. https://doi.org/10.3103/S014641161706005010.3103/S0146411617060050 Search in Google Scholar

[7] R. Roth, “User interface and user experience (UI/UX) design”, Geographic Information Science & Technology Body of Knowledge, 2017. [Online]. Available: https://doi.org/10.22224/gistbok/2017.2.510.22224/gistbok/2017.2.5 Search in Google Scholar

[8] N. Behare, S. Waghulkar, S. A. Shah, “A theoretical perspective on customer experience (CX) in digital business strategy,” in 2018 International Conference on Research in Intelligent and Computing in Engineering (RICE), 2018, pp. 1–7. http://dx.doi.org/10.1109/RICE.2018.850907910.1109/RICE.2018.8509079 Search in Google Scholar

[9] C. Pribeanu, “A revised set of usability heuristics for the evaluation of interactive systems”, Informatica Economica, vol. 21, no. 3, pp. 31–38, 2017. http://dx.doi.org/10.12948/issn14531305/21.3.2017.0310.12948/issn14531305/21.3.2017.03 Search in Google Scholar

[10] J. Nielsen, “Enhancing the explanatory power of usability heuristics,” in CHI ‘94: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Apr. 1994, pp. 152–158. https://doi.org/10.1145/191666.19172910.1145/191666.191729 Search in Google Scholar

[11] H. Degen, G. Guillen, and H. Schmidt, “Effectiveness and cost-benefit ratio of weekly user group sessions,” in Design, User Experience, and Usability. Design Philosophy and Theory, LNCS 11583, A. Marcus, W. Wang, Eds. Springer Nature Switzerland AG, 2019, pp. 208–221. https://doi.org/10.1007/978-3-030-23570-3_1610.1007/978-3-030-23570-3_16 Search in Google Scholar

[12] B. Saket, A. Endert, and J. Stasko, “Beyond usability and performance: A review of user experience-focused evaluations in visualization,” in Proceedings of the Sixth Workshop on Beyond Time and Errors on Novel Evaluation Methods for Visualization, Oct. 2016, pp. 133–142. https://doi.org/10.1145/2993901.299390310.1145/2993901.2993903 Search in Google Scholar

[13] V. Nassar, “Common criteria for usability review,” Work, vol. 41, Art no. 1, pp. 1053–1057, 2012. https://doi.org/10.3233/WOR-2012-0282-105310.3233/WOR-2012-0282-105322316859 Search in Google Scholar

[14] H. A. Linstone and M. Turoff, The Delphi Method. Techniques and Applications. Massachusetts: Addison-Wesley, 1975. Search in Google Scholar

[15] O. Ņikiforova, “Methodology for comparison of software development means”, PhD dissertation, Riga Technical University, Riga, Latvia, 2001. Search in Google Scholar

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