UX honeycomb for smart governance apps evaluation
Abstract
Smart governance applications are crucial for modernizing administrative processes and enhancing citizen engagement in the digital age. However, their effectiveness is significantly influenced by the user experience (UX) they provide. This study investigates the application of the UX Honeycomb framework in evaluating the UX of smart governance apps. This comprehensive evaluation, grounded in usefulness, usability, findability, credibility, accessibility, desirability, and value, scrutinizes how the smart governance app aligns with the principles of the UX Honeycomb framework. The study was conducted through four stages: the preliminary stage, data collection, data analysis and processing, and conclusion. The findings indicate that the smart governance app is highly regarded by users for its extensive range of services and its contribution to administrative efficiency. Users highlighted the importance of intuitive navigation, clear instructions, and user-friendly interfaces. Despite the generally positive user experience, areas for improvement were identified, particularly regarding providing more precise instructions for first-time users. This study concludes that the UX Honeycomb framework significantly enhances the evaluation of smart governance applications by providing a systematic approach to assessing user experience across multiple dimensions. Addressing each dimension of the UX Honeycomb allows developers and designers to create applications that are useful, usable, desirable, findable, accessible, credible, and valuable, thereby leading to more effective and user-friendly digital government services. Future research should refine these user experience aspects and explore the application of the UX Honeycomb framework in various contexts and with other smart governance applications to confirm its versatility and efficacy.
Fields of Study & Subjects
Usability and User Interface Design
E-Government and Public Services
Innovative Human-Technology Interaction
Publication details
- Journal / source
- AIP conference proceedings
- Volume
- 3326
- Pages
- 070002–070002
- Publication date
- 1 January 2026
- Language
- EN