Thesis (MTech (Business Information Systems))--Cape Peninsula University of Technology, 2020 / A shared common understanding or context awareness (CA) of IT Audit and Governance among all the internal stakeholders of a business remains an important factor. This context awareness is needed between the business itself, the IT department, and the Audit and Risk functions of the business. The research problem states that there is a lack of shared context awareness among all stakeholders when conducting IT audits and implementing IT Governance. To answer the research questions, a case study research strategy was followed using an International Services Group of companies operating from South Africa. The case study offered a diverse group of companies and vast experience in the South African Services, Trading, and Distribution sector. The diversity of this group of companies made it a perfect candidate for understanding context and the value of context in IT when conducting IT audits. The following research questions were asked: i) What are the factors affecting a shared context understanding among the stakeholders when conducting IT audits and implementing IT Governance? ii) How can a shared context understanding among stakeholders be achieved when conducting IT audits and implementing IT Governance? The aim of the study was to explore the value of context awareness within IT Audit and Governance in order to identify the value of shared context understanding. Data collection was done by means of interviews using semi-structured questionnaires and an interview guide. Qualitative data analysis techniques were adopted for this research. The conclusion of the study highlights the importance of a collective understanding of the business’s context in order to obtain alignment in business, IT, and Audit. It refers to the same or a similar understanding of the business processes; this takes time and is unique on all levels.

Mixed reality (MR) technology is trending in various sectors at the present time. In MR applications, due to the interactions between two realities, the potential of experiencing Cognitive Overload is high. Hence, the present qualitative study has been conducted to broaden the understanding of Cognitive Load in MR interventions. Six participants were recruited for the study who were University students. The study was conducted with an activity, based on a car chasing scenario in police interventions. The participants were instructed to complete a questionnaire after the activity, which was designed based on Cognitive Load Theory (CLT), and thereafter semi-structured interviews were conducted. The data were analyzed through the Thematic Analysis method (TA), which resulted in generating three themes; Prevention of Intrinsic Load, Prevention of Extraneous Load, and Increase of Germane Load. Each theme was divided into categories, and the codes were generated and analyzed under the categories. Our findings elaborate on several elements that influence cognitive load in MR interactions. The major elements of our findings include; Expertise in operating HoloLens and MR, Prevention of Split-attention, Prioritizing and Grouping of information, Vigilance, Design of HoloLens and MR, and Comprehensibility. The study findings can be used in designing MR applications, especially for the use case of police interventions. Yet, we believe that further studies are needed to broaden the understanding of causes and prevention methods of Cognitive overload in MR interactions.

Mixed reality (MR) technology is trending in various sectors at the present time. In MR applications, due to the interactions between two realities, the potential of experiencing Cognitive Overload is high. Hence, the present qualitative study has been conducted to broaden the understanding of Cognitive Load in MR interventions. Six participants were recruited for the study who were University students. The study was conducted with an activity, based on a car chasing scenario in police interventions. The participants were instructed to complete a questionnaire after the activity, which was designed based on Cognitive Load Theory (CLT), and thereafter semi-structured interviews were conducted. The data were analyzed through the Thematic Analysis method (TA), which resulted in generating three themes; Prevention of Intrinsic Load, Prevention of Extraneous Load, and Increase of Germane Load. Each theme was divided into categories, and the codes were generated and analyzed under the categories. Our findings elaborate on several elements that influence cognitive load in MR interactions. The major elements of our findings include; Expertise in operating HoloLens and MR, Prevention of Split-attention, Prioritizing and Grouping of information, Vigilance, Design of HoloLens and MR, and Comprehensibility. The study findings can be used in designing MR applications, especially for the use case of police interventions. Yet, we believe that further studies are needed to broaden the understanding of causes and prevention methods of Cognitive overload in MR interactions.