Heuristic Evaluation of eGLU-Box: A Semi-automatic Usability Evaluation Tool for Public Administrations
- Resource Type
- Authors
- Giuseppe Desolda; Marco Bracalenti; Arianna Buttafuoco; Antonello Cocco; Giancarlo Gaudino; Stefano Federici; Emilio Simonetti; Rosa Lanzilotti; Maria Laura Mele; Massimo Amendola
- Source
- Human-Computer Interaction. Perspectives on Design ISBN: 9783030226459
HCI (1)
- Subject
- User experience
business.industry
Computer science
Heuristic
Process (engineering)
05 social sciences
Visibility (geometry)
Usability
User experience, Heuristic evaluation, Remote semiautomatic usability assessment, Usability assessment tools
030210 environmental & occupational health
Test (assessment)
Usability assessment tools
03 medical and health sciences
0302 clinical medicine
User experience design
Work (electrical)
Heuristic evaluation
0501 psychology and cognitive sciences
Remote semiautomatic usability assessment
Software engineering
business
050107 human factors
- Language
- English
This paper illustrates the heuristic evaluation of a web-based tool for usability testing for Public Administrations called eGLU-box. eGLU-box is an online platform aiming at supporting practitioners in the process of designing usability tests, analyzing data, and helping step-by-step participants to complete assessment tasks. Web users of Public Administrations can report their perceived quality of experience by completing a library of questionnaires shown to them by eGLU-box at the end of the test. This work is part of a multi-step user experience (UX) evaluation methodology to assess the platform. The UX evaluation methodology of eGLU-box uses standard and bio-behavioural evaluation methods. This work shows the results of the heuristic evaluation of eGLU-box involving five human factors experts and 20 practitioners working in Italian Public Administrations. Findings show that most of the problems are rated as minor problems and related to Nielsen’s heuristic, “visibility of the system.” Only 9% of problems are rated as major problems. These major problems are related to the “problematic match between system and the real world” heuristic. Evaluators provided indications for improvements that will be applied for the next version of the platform.