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2018
DOI: 10.3390/ijgi7110446
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Building a Framework of Usability Patterns for Web Applications in Spatial Data Infrastructures

Abstract: Web applications in spatial data infrastructures (SDIs) should provide robust and user-friendly user interfaces for geoinformation (GI) discovery, analysis, and usage. Poor usability, e.g., caused by unsuitable information presentation or inappropriate (non) availability of functions, can result in inefficient or faulty usage and can increase the acceptance of the application and provided geoinformation. Until now, a number of usability problems in GI web applications were identified; however, methods to summa… Show more

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Cited by 2 publications
(2 citation statements)
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“…The design, development and evaluation of GI web applications relies on the Human Computer Interaction (HCI) and software engineering principles. Consequently, GI web applications continue to suffer from low usability as there are no generic solutions to GI-specific usability problems (Henzen, 2018). Different usability evaluation methods are used, such as user testing and expert evaluation using eye tracking, user survey, user observation techniques and as of lately remote evaluation techniques have also been embraced (Unrau & Kray, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…The design, development and evaluation of GI web applications relies on the Human Computer Interaction (HCI) and software engineering principles. Consequently, GI web applications continue to suffer from low usability as there are no generic solutions to GI-specific usability problems (Henzen, 2018). Different usability evaluation methods are used, such as user testing and expert evaluation using eye tracking, user survey, user observation techniques and as of lately remote evaluation techniques have also been embraced (Unrau & Kray, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…Human resource development is the most important thing for the success of the quality of geospatial analysis (Mwange et al, 2018). The concept of GI is very useful for the development of geospatial analysis related to spatial patterns (Henzen, 2018).…”
Section: Introductionmentioning
confidence: 99%