Methodology

An overview of the employed methods, used apparatus and software, and how they are integrated in the procedure.

Used Methods for User Evaluation

The experiment I is a formative study to analyse existing dashboards’ problematic aspects. As a quantitative method eye-tracking is used, and qualitative methods employed include an interview and a questionnaire .

The experiment II is also a formative study that compares self-developed dashboards and uses the same methodology as experiment I, adding a free viewing period of one minute for each dashboard. Both provide the following outcomes for analysis of the data:

Used Data for User Evaluation

For experiment I, four existing dashboards are selected:

The experiment II uses two self-developed dashboards of the region of Catalunya. Their interfaces are purposely designed to contain the same functionalities in different ways to compare them. They are visible in the Results

Used Software for User Evaluation

The following tools are used for different stages:

  • SMI Experiment Center was used for the design of the experiments
  • iView X for data recording
  • BeGaze 3.7 for data recording processing and analysis once the experiments are performed and the data is recorded in both cases
  • SMI RED 250 as the employed apparatus to record the eye movement

Used Methods and Software for Dashboard Development

The self-developed dashboards are the visual interface of a spatial data infrastructure that is result of a compound of technologies:

  • The backend consists of: a Linux Server with Python scripts running and PostGreSQL’s PostGIS, the spatial database extension that allows the storage of geometries.
  • The middleware is implicit in the Tableau, which has a framework allowing the communication between server and front-end user interface.
  • The frontend is displayed using: Tableau’s desktop application that retrieves data and allows the creation of dashboard interfaces and Canva to design the background of the dashboards.

Used Data for Dashboard Development

The dashboards retrieve data from two Catalan public institutions:

The data refers to the number of COVID-19 cases from 01.03.2020 in CSV format, the population (to calculate the incidence rate), also in CSV format, and the administrative boundaries of the counties and the towns, as a shapefile.


Explore the content

Introduction

Back to the home page, where the thesis is presented and the documentation and the poster are available for downloading.

Objectives

The aim of the diploma thesis is to perform user evaluation on COVID-19 dashboards. For this, several goals and subgoals are established and described in this section.

Results

The summarized results achieved in the research: recommendations for improving dashboard design methods and evaluation of the technologies to develop a Spatial Data Infraestructure.