Usability Evaluation and Enhancement of the AI-Powered Smart-Campus Framework: A User-Centred Approach

Abstract

This study employs a user-centred approach to improving the user experience and maximizing the system functionality of an AI-powered smart-campus framework. The study aims to conduct the usability evaluation of the framework and identify areas for improvement. The focus areas include AI-powered features, user interactions, and design concepts. The study used Likert scale evaluations to measure user satisfaction and perceived usability. The identification and application of improvement measures resulted in positive outcomes. The feedback integration technique involves collecting and analyzing user feedback to identify areas for improvement. This feedback is then used to make iterative improvements to the framework. The study found that the feedback integration technique increased user happiness through iterative improvements. The redesign valve interface strategy involves redesigning the valve interface to make it more user-friendly. The study found that the redesign valve interface strategy raised perceived usability. Workflow optimization involves streamlining the workflow to make it more efficient. The study found that workflow optimization reduced completion times. The study used the UMM to evaluate the planning, design, implementation, and feedback aspects of the AI-powered smart-campus framework. The study found that the framework had advanced design maturity, indicating good integration of user personas and workflows. The framework also showed intermediate maturity in planning, with consistency in implementation but space for improvement. The study also highlighted the theoretical connections between UMM dimensions and quantitative metrics. This alignment between qualitative principles and quantitative measures is important for demonstrating the value of user-centred design.