Reconfigurable UI /UX Design for Robotic Applications based on User Experience
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Abstract
In this research, we present a novel method aimed at enhancing the user experience (UX) in robotic applications through a customizable UI/UX system that adapts to users' skill levels. The Continuous Testing and Optimization method ensures that the system dynamically adjusts its graphical user interface (GUI) in response to users' evolving proficiency levels in C++ programming. The primary objective of the adaptive UI/UX system is to optimize usability and user satisfaction through iterative refinement guided by qualitative feedback analysis, and user performance metrics. This approach enables the system to cater to users with varying levels of expertise, offering personalized learning pathways for novice, intermediate, and advanced users. The seamless integration of the adaptive GUI for an Educational Programming Robot within the system architecture further enhances the individualized learning experience for users. To validate the effectiveness of the system, two studies were conducted. These studies demonstrate the system's ability to accurately measure user expertise and dynamically adjust the GUI based on users' proficiency levels. The results of these studies indicate significant improvements in user experience and learning outcomes. This underscores the potential of reconfigurable UI/UX design to promote personalized skill development within robotic applications. By leveraging continuous testing and optimization, our approach addresses the challenge of adapting interfaces to users' changing needs and proficiency levels, paving the way for more effective human-robot interaction and skill acquisition.