Harmonizing human-computer interaction: Exploring evolution and integration in media and computing

Bingru Wu; Huixuan Xu

doi:10.54254/2755-2721/106/20240910

Research Article

Open access

Published on 15 November 2024

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Wu,B.;Xu,H. (2024). Harmonizing human-computer interaction: Exploring evolution and integration in media and computing. Applied and Computational Engineering,106,1-6.

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Harmonizing human-computer interaction: Exploring evolution and integration in media and computing

Bingru Wu ¹, Huixuan Xu *^,2,

¹ University of Melbourne
² Imperial College London

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/106/20240910

Abstract

This paper delves into the intricate relationship between Human-Computer Interaction (HCI), media, and computing, examining its historical evolution and contemporary challenges. From the rudimentary interfaces of the 1970s to the immersive digital experiences of the present day, HCI has undergone a profound transformation, driven by advancements in technology and changing user expectations. The convergence of media and computing technologies has blurred traditional boundaries, reshaping user interactions and opening new frontiers for research and innovation. Through quantitative analysis and mathematical modeling, researchers gain insights into user behavior, preferences, and interactions, informing the design of more intuitive and engaging interactive systems. However, this integration also poses challenges related to cross-platform compatibility, ethical considerations, and accessibility. By embracing user-centered design principles, ethical stewardship, and technological innovation, HCI researchers and practitioners can navigate these challenges and shape the future of HCI-Media-Computing integration.

Keywords

HCI, media, computing, evolution, integration.

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References

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Cite this article

Wu,B.;Xu,H. (2024). Harmonizing human-computer interaction: Exploring evolution and integration in media and computing. Applied and Computational Engineering,106,1-6.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2nd International Conference on Machine Learning and Automation

Conference website: https://2024.confmla.org/

ISBN：978-1-83558-707-2(Print) / 978-1-83558-708-9(Online)

Conference date: 21 November 2024

Editor：Mustafa ISTANBULLU

Series: Applied and Computational Engineering

Volume number: Vol.106

ISSN：2755-2721(Print) / 2755-273X(Online)

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