Designing a proxemic natural user interface to support information sharing among co-located mobile devices
- Authors: Lee Son, Timothy
- Date: 2016
- Subjects: User interfaces (Computer systems) Mobile computing
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10948/12845 , vital:27126
- Description: Existing information sharing methods used by mobile devices require the user to repeat a series of steps to share one or more selected files with another individual, where the entire process is repeated for sharing the same file(s) with multiple individuals. Due to constant advancements in mobile computing, mobile devices are able to provide new, more intuitive, and easier solutions to sharing information. Natural User Interfaces (NUIs) primarily focus on the reuse of existing knowledge (from other applications or activities) or human abilities (such as touch, speech, and gestures) to provide a more accurate and usable solution to existing human computer interaction (HCI) systems. The interaction techniques of NUIs have transformed these human abilities. The main research objective was to design a proxemic NUI to provide an accurate and usable solution to support information sharing among co-located mobile devices. The development of MotionShare supported multiple devices to share information simultaneously using NUI interaction techniques. An initial calibration setup allowed MotionShare to calculate the approximate positions and orientations of every device in the environment. Novel NUI interaction techniques were implemented because of the known positions of these devices. MotionShare was evaluated using two evaluation techniques, namely analytical and experimental. The results showed device positioning to have a mean precision, trueness, and recall of 72.21%, 91.39%, and 71.63% respectively. The results showed MotionShare gestures to have a recall of 90.50% and 100.00% for the point gesture and the touch gesture respectively. The experimental technique consisted of a pilot study (formative evaluation) and a usability evaluation (summative evaluation). The results of the usability evaluation showed high user satisfaction and statistical analysis, which revealed MotionShare to achieve the main research objective. These results also showed that participants preferred the touch gesture to the point gesture, but expressed both gestures can be utilised for the tasks of MotionShare.
- Full Text:
- Date Issued: 2016
- Authors: Lee Son, Timothy
- Date: 2016
- Subjects: User interfaces (Computer systems) Mobile computing
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10948/12845 , vital:27126
- Description: Existing information sharing methods used by mobile devices require the user to repeat a series of steps to share one or more selected files with another individual, where the entire process is repeated for sharing the same file(s) with multiple individuals. Due to constant advancements in mobile computing, mobile devices are able to provide new, more intuitive, and easier solutions to sharing information. Natural User Interfaces (NUIs) primarily focus on the reuse of existing knowledge (from other applications or activities) or human abilities (such as touch, speech, and gestures) to provide a more accurate and usable solution to existing human computer interaction (HCI) systems. The interaction techniques of NUIs have transformed these human abilities. The main research objective was to design a proxemic NUI to provide an accurate and usable solution to support information sharing among co-located mobile devices. The development of MotionShare supported multiple devices to share information simultaneously using NUI interaction techniques. An initial calibration setup allowed MotionShare to calculate the approximate positions and orientations of every device in the environment. Novel NUI interaction techniques were implemented because of the known positions of these devices. MotionShare was evaluated using two evaluation techniques, namely analytical and experimental. The results showed device positioning to have a mean precision, trueness, and recall of 72.21%, 91.39%, and 71.63% respectively. The results showed MotionShare gestures to have a recall of 90.50% and 100.00% for the point gesture and the touch gesture respectively. The experimental technique consisted of a pilot study (formative evaluation) and a usability evaluation (summative evaluation). The results of the usability evaluation showed high user satisfaction and statistical analysis, which revealed MotionShare to achieve the main research objective. These results also showed that participants preferred the touch gesture to the point gesture, but expressed both gestures can be utilised for the tasks of MotionShare.
- Full Text:
- Date Issued: 2016
A business intelligence framework for supporting strategic sustainability information management in higher education
- Authors: Haupt, Ross
- Date: 2016
- Subjects: Business intelligence , Strategic planning -- Management
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10948/5319 , vital:20832
- Description: In the higher education sector, a number of Higher Education Institutions (HEIs) are playing a leading role in promoting sustainable initiatives. Effectively managing these initiatives however can be a complex task and requires data and information from multiple aspects of operations. In an HEI, operating sustainably means ensuring financial sustainability, social sustainability, environmental sustainability and educational sustainability. In order to manage sustainability effectively, HEIs require an integrated tool that can provide information on all areas of sustainability. HEIs face a number of challenges in effectively managing sustainability information, such as siloed data and information, and poor sharing and communication of information. Business Intelligence (BI) can assist in overcoming many of the challenges faced by organisations in effectively managing strategic sustainability information. This study investigates both the constraints to effective sustainability information management and the challenges of BI. A BI framework to support effective strategic sustainability information management is proposed. Nelson Mandela Metropolitan University (NMMU) is one such HEI, which is affected by the challenges of managing strategic sustainability information. NMMU is therefore used as a case study in this research. A BI solution, Sustainable BI, was developed based on the proposed framework. The main goal of sustainable BI is to provide strategic management at NMMU with a tool that can provide integrated sustainability information that can assist in overcoming the challenges in effectively managing strategic sustainability information. Sustainable BI was evaluated by strategic management at NMMU who are responsible for managing sustainability at NMMU. The evaluation took place through a usability study. The study revealed to what extent Sustainable BI could effectively manage strategic sustainability information at NMMU. The BI framework was iteratively improved on based on the results of the evaluations. The contributions from this study are a model for sustainability management, a BI Framework to support strategic sustainability information management and a BI solution, Sustainable BI.
- Full Text:
- Date Issued: 2016
- Authors: Haupt, Ross
- Date: 2016
- Subjects: Business intelligence , Strategic planning -- Management
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10948/5319 , vital:20832
- Description: In the higher education sector, a number of Higher Education Institutions (HEIs) are playing a leading role in promoting sustainable initiatives. Effectively managing these initiatives however can be a complex task and requires data and information from multiple aspects of operations. In an HEI, operating sustainably means ensuring financial sustainability, social sustainability, environmental sustainability and educational sustainability. In order to manage sustainability effectively, HEIs require an integrated tool that can provide information on all areas of sustainability. HEIs face a number of challenges in effectively managing sustainability information, such as siloed data and information, and poor sharing and communication of information. Business Intelligence (BI) can assist in overcoming many of the challenges faced by organisations in effectively managing strategic sustainability information. This study investigates both the constraints to effective sustainability information management and the challenges of BI. A BI framework to support effective strategic sustainability information management is proposed. Nelson Mandela Metropolitan University (NMMU) is one such HEI, which is affected by the challenges of managing strategic sustainability information. NMMU is therefore used as a case study in this research. A BI solution, Sustainable BI, was developed based on the proposed framework. The main goal of sustainable BI is to provide strategic management at NMMU with a tool that can provide integrated sustainability information that can assist in overcoming the challenges in effectively managing strategic sustainability information. Sustainable BI was evaluated by strategic management at NMMU who are responsible for managing sustainability at NMMU. The evaluation took place through a usability study. The study revealed to what extent Sustainable BI could effectively manage strategic sustainability information at NMMU. The BI framework was iteratively improved on based on the results of the evaluations. The contributions from this study are a model for sustainability management, a BI Framework to support strategic sustainability information management and a BI solution, Sustainable BI.
- Full Text:
- Date Issued: 2016
Assessing the productivity of selective container terminals in Africa using Data Envelopment Analysis (DEA)
- Mienie, Barend Jacobus, Brettenny, Warren
- Authors: Mienie, Barend Jacobus , Brettenny, Warren
- Date: 2016
- Subjects: Data envelopment analysis -- Africa Employees -- Rating of -- Africa
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10948/12054 , vital:27026
- Description: Data envelopment analysis (DEA) is used to assess the efficiency of 15 container terminals in Africa. The models proposed by Charnes, Cooper and Rhodes (1978) and Banker, Charnes and Cooper (1984) are used to determine and rank the efficiencies of the container terminals for 2013 and 2014. The results show that selected South African container terminals can improve on their operations relative to some of their neighbours to the North. Bootstrapping methods are used to investigate and clarify the results. The Malmquist Productivity Index (MPI) model is used to track and explain changes in efficiency over the period of assessment.
- Full Text:
- Date Issued: 2016
- Authors: Mienie, Barend Jacobus , Brettenny, Warren
- Date: 2016
- Subjects: Data envelopment analysis -- Africa Employees -- Rating of -- Africa
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10948/12054 , vital:27026
- Description: Data envelopment analysis (DEA) is used to assess the efficiency of 15 container terminals in Africa. The models proposed by Charnes, Cooper and Rhodes (1978) and Banker, Charnes and Cooper (1984) are used to determine and rank the efficiencies of the container terminals for 2013 and 2014. The results show that selected South African container terminals can improve on their operations relative to some of their neighbours to the North. Bootstrapping methods are used to investigate and clarify the results. The Malmquist Productivity Index (MPI) model is used to track and explain changes in efficiency over the period of assessment.
- Full Text:
- Date Issued: 2016
Using data analysis and Information visualization techniques to support the effective analysis of large financial data sets
- Authors: Nyumbeka, Dumisani Joshua
- Date: 2016
- Subjects: Information visualization Finance -- Mathematical models , Database management
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10948/12983 , vital:27141
- Description: There have been a number of technological advances in the last ten years, which has resulted in the amount of data generated in organisations increasing by more than 200% during this period. This rapid increase in data means that if financial institutions are to derive significant value from this data, they need to identify new ways to analyse this data effectively. Due to the considerable size of the data, financial institutions also need to consider how to effectively visualise the data. Traditional tools such as relational database management systems have problems processing large amounts of data due to memory constraints, latency issues and the presence of both structured and unstructured data The aim of this research was to use data analysis and information visualisation techniques (IV) to support the effective analysis of large financial data sets. In order to visually analyse the data effectively, the underlying data model must produce results that are reliable. A large financial data set was identified, and used to demonstrate that IV techniques can be used to support the effective analysis of large financial data sets. A review of the literature on large financial data sets, visual analytics, existing data management and data visualisation tools identified the shortcomings of existing tools. This resulted in the determination of the requirements for the data management tool, and the IV tool. The data management tool identified was a data warehouse and the IV toolkit identified was Tableau. The IV techniques identified included the Overview, Dashboards and Colour Blending. The IV tool was implemented and published online and can be accessed through a web browser interface. The data warehouse and the IV tool were evaluated to determine their accuracy and effectiveness in supporting the effective analysis of the large financial data set. The experiment used to evaluate the data warehouse yielded positive results, showing that only about 4% of the records had incorrect data. The results of the user study were positive and no major usability issues were identified. The participants found the IV techniques effective for analysing the large financial data set.
- Full Text:
- Date Issued: 2016
- Authors: Nyumbeka, Dumisani Joshua
- Date: 2016
- Subjects: Information visualization Finance -- Mathematical models , Database management
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10948/12983 , vital:27141
- Description: There have been a number of technological advances in the last ten years, which has resulted in the amount of data generated in organisations increasing by more than 200% during this period. This rapid increase in data means that if financial institutions are to derive significant value from this data, they need to identify new ways to analyse this data effectively. Due to the considerable size of the data, financial institutions also need to consider how to effectively visualise the data. Traditional tools such as relational database management systems have problems processing large amounts of data due to memory constraints, latency issues and the presence of both structured and unstructured data The aim of this research was to use data analysis and information visualisation techniques (IV) to support the effective analysis of large financial data sets. In order to visually analyse the data effectively, the underlying data model must produce results that are reliable. A large financial data set was identified, and used to demonstrate that IV techniques can be used to support the effective analysis of large financial data sets. A review of the literature on large financial data sets, visual analytics, existing data management and data visualisation tools identified the shortcomings of existing tools. This resulted in the determination of the requirements for the data management tool, and the IV tool. The data management tool identified was a data warehouse and the IV toolkit identified was Tableau. The IV techniques identified included the Overview, Dashboards and Colour Blending. The IV tool was implemented and published online and can be accessed through a web browser interface. The data warehouse and the IV tool were evaluated to determine their accuracy and effectiveness in supporting the effective analysis of the large financial data set. The experiment used to evaluate the data warehouse yielded positive results, showing that only about 4% of the records had incorrect data. The results of the user study were positive and no major usability issues were identified. The participants found the IV techniques effective for analysing the large financial data set.
- Full Text:
- Date Issued: 2016
A web-based repository for student mobility data in Africa
- Authors: Ferreira, Darren Bradley
- Date: 2016
- Subjects: Student mobility Students, Transfer of -- South Africa -- Psychological aspects , Education, Higher Foreign study
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10948/12605 , vital:27098
- Description: The number of international students studying abroad has doubled since the year 2000 and there are nearly five million students that are enrolled outside their country of origin. Over the past ten years new insights and approaches to the internationalisation of higher education have arisen which has influenced global research and education. Student mobility data is a component of internationalisation data. internationally mobile students are defined as students who have crossed international borders from their countries with the objective to study. Currently, there are several international organisations and projects that manage student mobility data from various Higher Education Institutions (HEIs) across the globe and report on this data. Two of these organisations are the Open Doors Report and Project Atlas. The organisations collect Data for Africa, although it is not as detailed and useful as the data provided about other countries. Since the number of students studying abroad has doubled since the year 2000, the amount of student mobility data kept by data collection agencies and HEIs has also increased. The data collected is not always accurate and this poses a data management problem. This study conducted a survey sent to international offices at various HEIs in South Africa and Africa. The survey investigates the current state of student mobility data management in HEIs. The survey results revealed that the international offices are currently dissatisfied with student mobility data management and will be willing to provide international student data to an African data repository. This study proposes the design and development of a web-based student mobility data repository, known as the African International Portal (AIP). The study identified design guidelines and requirements for a web-based data repository. The requirements, design and design guidelines were used to guide the development of the prototype. Heuristic evaluations were conducted on the prototype in order to identify any major usability problems. Findings revealed that the overall perceptions of the prototype were positive and can be attributed to the design considerations and guidelines used during the development phase. The prototype was evaluated using a full usability evaluation that determined the usefulness, effectiveness and efficiency of the prototype when users are in the process of managing student mobility data. The results indicate that the participants found the AIP to be an effective, efficient and a satisfactory means of managing student mobility data.
- Full Text:
- Date Issued: 2016
- Authors: Ferreira, Darren Bradley
- Date: 2016
- Subjects: Student mobility Students, Transfer of -- South Africa -- Psychological aspects , Education, Higher Foreign study
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10948/12605 , vital:27098
- Description: The number of international students studying abroad has doubled since the year 2000 and there are nearly five million students that are enrolled outside their country of origin. Over the past ten years new insights and approaches to the internationalisation of higher education have arisen which has influenced global research and education. Student mobility data is a component of internationalisation data. internationally mobile students are defined as students who have crossed international borders from their countries with the objective to study. Currently, there are several international organisations and projects that manage student mobility data from various Higher Education Institutions (HEIs) across the globe and report on this data. Two of these organisations are the Open Doors Report and Project Atlas. The organisations collect Data for Africa, although it is not as detailed and useful as the data provided about other countries. Since the number of students studying abroad has doubled since the year 2000, the amount of student mobility data kept by data collection agencies and HEIs has also increased. The data collected is not always accurate and this poses a data management problem. This study conducted a survey sent to international offices at various HEIs in South Africa and Africa. The survey investigates the current state of student mobility data management in HEIs. The survey results revealed that the international offices are currently dissatisfied with student mobility data management and will be willing to provide international student data to an African data repository. This study proposes the design and development of a web-based student mobility data repository, known as the African International Portal (AIP). The study identified design guidelines and requirements for a web-based data repository. The requirements, design and design guidelines were used to guide the development of the prototype. Heuristic evaluations were conducted on the prototype in order to identify any major usability problems. Findings revealed that the overall perceptions of the prototype were positive and can be attributed to the design considerations and guidelines used during the development phase. The prototype was evaluated using a full usability evaluation that determined the usefulness, effectiveness and efficiency of the prototype when users are in the process of managing student mobility data. The results indicate that the participants found the AIP to be an effective, efficient and a satisfactory means of managing student mobility data.
- Full Text:
- Date Issued: 2016
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