Abstract

Working with contemporary, monolithic desktop Geographical Information Systems can be laborious and confusing, especially for non-experts. An alternative for a more user friendly approach to spatial data edition and spatial analysis may be an “app-based” web application that is offering single tasks for the user—“micro applications”. In this paper, a method for determining such “micro applications” based on user stories is presented and applied to a specific use case—the case is centered around an Austrian Governmental Institution that digitizes and edits infrastructure data. The results of this process are implemented in an app-based web application. To measure the impacts of the app-based approach, we evaluate the user experience of the app-based approach in comparison to a desktop Geographical Information System offering the same functionality. For the measurement of the user experience, we used a focus group. The group had to accomplish tasks with the desktop Geographical Information System and with the app-based web application. To measure their user experience, we employed the tool AttrakDiff. The app-based web application achieves significantly better results in terms of user experience. This result is confirmed in a discussion panel carried out afterwards. Test persons responded that positive aspects of the app-based web application were the easy and intuitive handling and reduced user interface that helps the users to focus on their tasks without any distraction.

Highlights

  • A Geographical Information System (GIS) is a system for capturing, storing, editing, management, analysis, and visualization of spatial data [1,2]

  • With respect to the achieved results, working with an app-based GIS web application was more enjoyable for the focus group in terms of User Experience (UX)

  • The desktop GIS solution is regarded to be less intuitive from a user’s point of view. This can be seen in the result of the user experience evaluation

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Summary

Introduction

A Geographical Information System (GIS) is a system for capturing, storing, editing, management, analysis, and visualization of spatial data [1,2]. For occasional or novice users, full-fledged desktop GIS are far from being intuitive pieces of software. Any occasional users in organizations may have to fulfill complex tasks concerning spatial data collection, editing, or analysis. Spatial data analysis may be performed without a desktop GIS software, just by using a programming language and specific libraries (e.g., Python or R) [6,7] or fully online using a client–server based architecture [8]. CyberGIS focuses on computational and data-intensive geospatial problem-solving within various research and application domains [9,10]

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