Website Usability Using AI

Year : 2025 | Volume : 12 | Issue : 02 | Page : 19 27
    By

    Amey Mohole,

  • Rutuja Lomate,

  • Sudarshan Sanap,

  • Kaiwalya Koparkar,

  1. Student, Department of Computer Engineering, R.H. Sapat College of Engineering (Affiliated to Savitribai Phule Pune University), Nashik, Maharashtra, India
  2. Student, Department of Computer Engineering, R.H. Sapat College of Engineering (Affiliated to Savitribai Phule Pune University), Nashik, Maharashtra, India
  3. Student, Department of Computer Engineering, R.H. Sapat College of Engineering (Affiliated to Savitribai Phule Pune University), Nashik, Maharashtra, India
  4. 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 ]

How to cite this article:
Amey Mohole, Rutuja Lomate, Sudarshan Sanap, Kaiwalya Koparkar. Website Usability Using AI. Journal of Web Engineering & Technology. 2025; 12(02):19-27.
How to cite this URL:
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


References

  1. Kwangsawad A, Jattamart A, Nusawat P. The performance evaluation of a website using automated evaluation tools. In2019 4th Technology Innovation Management and Engineering Science International Conference (TIMES-iCON) 2019 Dec 11 (pp. 1–5). IEEE.
  2. Toraman N, Pekpazar A, Gumussoy CA. Conceptualization and Survey Instrument Development for Website Usability. InInformatics 2023 Sep 20; 10(3), p. 75. MDPI.
  3. Dewi FK, Handarkho YD, Prasetyo FV. Analisis Usability Menggunakan Metode Heuristic Evaluation dan Web Usability Evaluation Tool pada Website ACC Career. Jurnal Buana Informatika. 2022 Oct 1;13(02):126–35.
  4. Aziz NS, Sulaiman NS, Hassan WN, Zakaria NL, Yaacob A. A review of website measurement for website usability evaluation. J Phys Conf Ser. 2021 May 1; 1874(1): p. 012045). IOP Publishing.
  5. Sharma H. The Importance of Website Usability in Digital Marketing: A Review. London J Res Comput Sci Technol. 2023 Aug 26;23(3):25–32.
  6. Dingli A, Cassar S. An intelligent framework for website usability. Adv Hum‐Comput Interact. 2014;2014(1):479286.
  7. Giri IY, Dewi LJ, Sunarya IM. The Evaluation of Usability and Website Development using Cognitive Walkthrough, Performance Measurement, and System Usability Scale. J Comput Netw Archit High Perform Comput. 2023;5(2):503–14.
  8. Suryanata F, Rusdiansyah R. Website UI/UX Analysis and Redesign using Usability Testing Methods. Informatics Softw Eng. 2024 May 3;2(1):1–7.
  9. Fatima K, Bawany NZ, Bukhari M. Usability and accessibility evaluation of banking websites. In2020 International conference on advanced computer science and information systems (ICACSIS) 2020 Oct 17 (pp. 247–256). IEEE.
  10. Namoun A, Alrehaili A, Nisa ZU, Almoamari H, Tufail A. Predicting the usability of mobile applications using AI tools: the rise of large user interface models, opportunities, and challenges. Procedia Comput Sci. 2024 Jan 1;238:671–82.
  11. Pereira L, Tomás D, Dias Á, Costa RL, Gonçalves R. How artificial intelligence can improve digital marketing. Int J Bus Inf Syst. 2023;44(4):581–624.
  12. Namoun A, Alrehaili A, Tufail A. A review of automated website usability evaluation tools: Research issues and challenges. InInternational Conference on Human-Computer Interaction 2021 Jul 3 (pp. 292–311). Cham: Springer International Publishing.
  13. Adepoju SA, Shehu IS. Usability evaluation of academic websites using automated tools. In2014 3rd International Conference on User Science and Engineering (i-USEr) 2014 Sep 2 (pp. 186–191). IEEE.
  14. Chanthati SR. Website Visitor Analysis & Branding Quality Measurement Using Artificial Intelligence. Am J Educ Technol. 2024 Jul 16;3(3):88–101.
  15.  Virvou M. Artificial Intelligence and User Experience in reciprocity: Contributions and state of the art. Intell Decis Technol. 2023 Feb;17(1):73–125.
  16. Wlasinsky O, Gromenskov T. Advancing Digital Frontiers: Developing an AI-Driven Website for Enhanced User Experience and Efficiency. Int J Educ Technol Artif Intell. 2024 Aug 31;3(2):54–62.
  17. Giessler P, Gebhart M, Sarancin D, Steinegger R, Abeck S. Best practices for the design of restful web services. InInternational conferences of software advances (ICSEA) 2015 Nov (pp. 392–397).
  18. Suleiman DA, Awan TM, Javed M. Enhancing digital marketing performance through usage intention of AI-powered websites. IAES Int J Artif Intell. 2021 Dec 1;10(4):810.
  19. Stige Å, Zamani ED, Mikalef P, Zhu Y. Artificial intelligence (AI) for user experience (UX) design: a systematic literature review and future research agenda. Information Technology & People (IT&P). 2024 Sep 3;37(6):2324–52.
  20. Esposito A, Desolda G, Lanzilotti R. The fine line between automation and augmentation in website usability evaluation. Sci Rep. 2024 May 2;14(1):10129.

Regular Issue Subscription Review Article
Volume 12
Issue 02
Received 18/02/2025
Accepted 22/03/2025
Published 19/04/2025
Publication Time 60 Days


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