Visualization of Big Environmental Data using the Card Sorting method

Abstract

Card Sorting method is mainly applied to investigate the mental models of users, having no chance to visualize them. In this pilot study, the method is used to evaluate the usability of a big data environmental MIT website. In order to evaluate the visualization of the information, the method was modified. The cards presented the interfaces while the categories described the situ of interfaces on monitor’s screen. Qualitative and quantitative evaluation methods were combined as follows: (a) Hypertext recording to investigate the workflow, (b) Think-Aloud method with users to define the evaluation scenarios, (c) two Tree Test to identify the problematic nodes, (d) SUS and finally (e) Cart Sorting. The sorting was on-line, remote, moderated & hybrid. The following questionnaire of the tool was adopted to evaluate the graphical approach and the designer’s color pallet. The procedure pointed out two crucial differences from the existing design. One was proposed to improve usability. This modified Card Sorting method appeared to facilitate the visualization of mental models on the tool’s screen, while designers’ groups may use the modification to evaluate their work.