Data Visualization and Usability Testing
Abstract
This paper examines the convergence of information visualization and the historical development of data visualization evaluations. It considers the Visual Information Seeking Mantra seminal model introduced in 1996, the User-Centered Design proposed in 2005, and the Heuristic Design Methodology advanced in 2016. Those models immerse usability knowledge, participatory design, and methods for evaluating information visualization. Evaluations using formative usability techniques have been criticized for their “find and fix” design approach. Conversely, summative evaluations track user visualization performance and explore usability perceptions with design workload. The proposed research will conduct an experimental study with CIS students to evaluate visualization artifacts and scenarios in marketing and social media trends using a summative evaluation. The study will use the NASA-TLX questionnaire to identify which factors have the most influence on user performance and satisfaction with interactive visualization design.
Data Visualization and Usability Testing
This paper examines the convergence of information visualization and the historical development of data visualization evaluations. It considers the Visual Information Seeking Mantra seminal model introduced in 1996, the User-Centered Design proposed in 2005, and the Heuristic Design Methodology advanced in 2016. Those models immerse usability knowledge, participatory design, and methods for evaluating information visualization. Evaluations using formative usability techniques have been criticized for their “find and fix” design approach. Conversely, summative evaluations track user visualization performance and explore usability perceptions with design workload. The proposed research will conduct an experimental study with CIS students to evaluate visualization artifacts and scenarios in marketing and social media trends using a summative evaluation. The study will use the NASA-TLX questionnaire to identify which factors have the most influence on user performance and satisfaction with interactive visualization design.