Impact of AI-driven Data Visualization on User Experience in the Internet Sector

Gaozhe Jiang; Shijia Huang; Jianke Zou

doi:10.20944/preprints202408.1176.v1

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preprints.org > computer science and mathematics > artificial intelligence and machine learning > doi: 10.20944/preprints202408.1176.v1 (registering DOI)

Preprint Article Version 1 This version is not peer-reviewed

Impact of AI-driven Data Visualization on User Experience in the Internet Sector

Gaozhe Jiang

^* ,

Shijia Huang

Jianke Zou

Version 1 : Received: 14 August 2024 / Approved: 15 August 2024 / Online: 15 August 2024 (16:37:41 CEST)

How to cite: Jiang, G.; Huang, S.; Zou, J. Impact of AI-driven Data Visualization on User Experience in the Internet Sector. Preprints 2024, 2024081176. https://doi.org/10.20944/preprints202408.1176.v1 Jiang, G.; Huang, S.; Zou, J. Impact of AI-driven Data Visualization on User Experience in the Internet Sector. Preprints 2024, 2024081176. https://doi.org/10.20944/preprints202408.1176.v1

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MDPI and ACS Style

Jiang, G.; Huang, S.; Zou, J. Impact of AI-driven Data Visualization on User Experience in the Internet Sector. Preprints 2024, 2024081176. https://doi.org/10.20944/preprints202408.1176.v1

APA Style

Jiang, G., Huang, S., & Zou, J. (2024). Impact of AI-driven Data Visualization on User Experience in the Internet Sector. Preprints. https://doi.org/10.20944/preprints202408.1176.v1

Chicago/Turabian Style

Jiang, G., Shijia Huang and Jianke Zou. 2024 "Impact of AI-driven Data Visualization on User Experience in the Internet Sector" Preprints. https://doi.org/10.20944/preprints202408.1176.v1

Abstract

This article explores the specific impact of artificial intelligence (AI) -driven data visualisation technologies in the user experience of the Internet industry. Through the introduction of machine learning and data mining technologies, AI has significantly improved the intelligence and automation of data visualization tools, promoting innovation in visualization methods and improving the quality and efficiency of data cleaning, processing, and analysis. In addition, AI has also promoted the development of personalised data visualization, providing users with a richer and more intuitive way to present data. This paper analyses the applications of AI-driven data visualization in machine learning, natural language processing, and computer vision. It demonstrates the positive effects of AI data visualization on user understanding and optimisation of models through practical feedback from Yellowbrick tools.

Keywords

Artificial intelligence (AI); Data visualization; User experience; Internet industry

Subject

Computer Science and Mathematics, Artificial Intelligence and Machine Learning

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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