Amey Mohole,
Rutuja Lomate,
Sudarshan Sanap,
Kaiwalya Koparkar,
- Student, Department of Computer Engineering, R.H. Sapat College of Engineering (Affiliated to Savitribai Phule Pune University), Nashik, Maharashtra, India
- Student, Department of Computer Engineering, R.H. Sapat College of Engineering (Affiliated to Savitribai Phule Pune University), Nashik, Maharashtra, India
- Student, Department of Computer Engineering, R.H. Sapat College of Engineering (Affiliated to Savitribai Phule Pune University), Nashik, Maharashtra, India
- Student, Department of Computer Engineering, R.H. Sapat College of Engineering (Affiliated to Savitribai Phule Pune University), Nashik, Maharashtra, India
Abstract
This article introduces a comprehensive framework that leverages artificial intelligence (AI), automated tools, and APIs to enhance the evaluation of website usability. The proposed framework integrates AI-driven models with traditional usability assessment techniques to create a more dynamic and effective evaluation process. Specifically, it utilizes Google Lighthouse to conduct in-depth audits on website performance, search engine optimization (SEO), and accessibility. Additionally, chatbot APIs are incorporated to gather real-time user feedback, providing valuable insights into user behavior and interactions. To ensure the accuracy and reliability of AI-generated findings, conventional usability evaluation methods such as heuristic analysis and user surveys are employed for validation. By combining these approaches, the framework offers a holistic methodology that enables developers to identify usability issues, optimize website functionality, and enhance user experience. This article underscores the importance of integrating AI-powered tools with human-centered evaluation techniques to meet the evolving demands of modern web development and deliver more efficient, user- friendly digital platforms.
Keywords: Website usability, artificial intelligence (AI), google lighthouse API, chatbot API, user experience (UX), heuristic evaluation, automated usability tools, usability testing, predictive analytics, human-computer interaction (HCI), website performance optimization, real-time feedback, adaptive systems
[This article belongs to Journal of Web Engineering & Technology ]
Amey Mohole, Rutuja Lomate, Sudarshan Sanap, Kaiwalya Koparkar. Website Usability Using AI. Journal of Web Engineering & Technology. 2025; 12(02):19-27.
Amey Mohole, Rutuja Lomate, Sudarshan Sanap, Kaiwalya Koparkar. Website Usability Using AI. Journal of Web Engineering & Technology. 2025; 12(02):19-27. Available from: https://journals.stmjournals.com/jowet/article=2025/view=208441
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Journal of Web Engineering & Technology
| Volume | 12 |
| Issue | 02 |
| Received | 18/02/2025 |
| Accepted | 22/03/2025 |
| Published | 19/04/2025 |
| Publication Time | 60 Days |
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