Human Factor Engineering Strategies To Solve Hidden Problems Observed In Modern Trends In Digitalization: Some Examples From Sweden

Abstract

Recent trends in digitalization techniques in ICs have revolutionized the day-to-day development process. At the same time, many people from IDCs have started to immigrate to ICs for education or employment. They are compelled to learn modern techniques in digitalization, in this process, hidden evils have been observed where IDC foreigners have become prey to these evils. This research aims to investigate the hidden problems of digitalization in DCs and offer insights into human factor engineering strategies that can be employed to address and control these problems. This research adopts a case study methodology to gain an in-depth understanding of human factor challenges in the context of digitalization in Sweden. The selected cases represent diverse sectors such as healthcare, transport, and hospitality. Data was collected from interviews and questionnaire surveys. Thematic analysis was employed to identify recurring patterns and challenges in the human factors in each case. Goal-Directed Task Analysis (GDTA) was used to clarify the goals of the specific tasks of the users of the digital technologies. The three-level Situation Awareness Model was used to model the digital challenges of each case. The design of Situation Awareness strategies has been the foundation for the recommendations. The application of the three-level Situation Awareness Model enabled the classification of the hidden problems arising from digitalization at different levels of the cognitive processes, the major effect was found on the comprehension. Most useful and applicable Situation Awareness interventions to address the problems discussed in the cases include mapping system functions to the users’ goals and mental models.