Factors that Influence Usability and Effectiveness of a Performance Dashboard: A Case Study
Department
Business and Information Technology
Major
Information Science and Technology
Research Advisor
Lea, Bih-Ru
Advisor's Department
Business and Information Technology
Funding Source
Opportunity for Undergraduate Research (OURE); Center for Enterprise Resource Planning (ERP)
Abstract
The intent of this research is to extend my current findings from my OURE research, Usability Framework of a Performance Dashboard: A Case Study. My first proposed task is to investigate influential factors in visualization of Big Data. Big Data is a term used to describe the current and expanding trend of large and complex data sets. My second proposed task is to compare these factors to the variables identified by my current OURE research, to derive a framework for data visualization modeling. These factors will be the main focus of my third task, which is to design and implement a prototype based on the framework developed in task 2. This prototype will be designed using large and complex data sets, known as big data. The next task is to implement a survey to analyze user data from the prototype. This will allow me to assess the framework developed in task 2. The final task is to perform statistical analysis and test hypotheses to derive a decision support framework.
Biography
Sean Howell is a junior in Information Science and Technology. He plans to graduate from Missouri University of Science and Technology in Dec. 2015, with minors in Business and Enterprise Resource Planning. Sean works for the Center for Enterprise Resource Planning as a Student Research Assistant. He is also the Promotions Director for the Student Union Board and a member of Miner Disc Golf.
Research Category
Social Sciences
Presentation Type
OURE Fellows Proposal Oral Applicant
Document Type
Presentation
Award
Fellows 14-15 Awarded
Location
Turner Room
Presentation Date
16 Apr 2014, 2:20 pm - 2:40 pm
Factors that Influence Usability and Effectiveness of a Performance Dashboard: A Case Study
Turner Room
The intent of this research is to extend my current findings from my OURE research, Usability Framework of a Performance Dashboard: A Case Study. My first proposed task is to investigate influential factors in visualization of Big Data. Big Data is a term used to describe the current and expanding trend of large and complex data sets. My second proposed task is to compare these factors to the variables identified by my current OURE research, to derive a framework for data visualization modeling. These factors will be the main focus of my third task, which is to design and implement a prototype based on the framework developed in task 2. This prototype will be designed using large and complex data sets, known as big data. The next task is to implement a survey to analyze user data from the prototype. This will allow me to assess the framework developed in task 2. The final task is to perform statistical analysis and test hypotheses to derive a decision support framework.
