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Research Paper | Information Technology | India | Volume 14 Issue 3, March 2025 | Rating: 7.5 / 10
The Role of AI in Enhancing User Experience Testing for GIS Applications: How AI-Driven UX Testing Can Improve the Usability of Geospatial Software
Twinkle Joshi
Abstract: Geographic Information Systems (GIS) play a pivotal role in enabling the collection, visualization, and analysis of spatial data across diverse industries, such as urban planning, environmental management, and disaster response. Despite their significance, GIS applications face usability challenges stemming from complex interfaces, large data volumes, and diverse user expertise. Traditional User Experience (UX) testing methods often fall short in addressing these issues due to limitations in scalability, scenario complexity, and real-time insight collection. The integration of Artificial Intelligence (AI) into UX testing introduces transformative solutions, offering automation, enhanced data analysis, and predictive insights. AI-powered tools streamline routine testing, accelerate product iteration cycles, and provide actionable design suggestions, addressing usability challenges more efficiently. Through industry case studies of tools and techniques, AI demonstrates its ability to optimize workflows, enhance navigation, and improve user interaction. Furthermore, as AI continues to advance in GIS, its application in UX testing becomes a natural extension. By leveraging AI techniques, GIS platforms can identify user pain points, refine interfaces, and enhance usability for both technical and general audiences. While AI presents unparalleled potential in GIS UX testing, challenges such as resource constraints and integration limitations persist. This article explores benefits, challenges and emphasizes the critical role of AI in creating intuitive, responsive, and accessible GIS applications.
Keywords: Geographic Information Systems (GIS), Artificial Intelligence (AI), User Experience (UX), User Experience (UX) Testing, Geospatial Applications, Usability Optimization, Automated Testing, User Behavior Analysis, Heatmap Generation, Eye-Tracking Analysis, Real-Time Feedback, Data-Driven Design
Edition: Volume 14 Issue 3, March 2025,
Pages: 1634 - 1642