Open Access Article

Title: A quantitative modelling framework for multimedia art expression in visual communication design in the digital age: visual hierarchy, dynamic elements, and interactive behaviour

Authors: Weiwei Zhang

Addresses: Department of Architecture, Henan Technical College of Construction, Zhengzhou, 450000, Henan, China

Abstract: Existing research on multimedia art in visual communication design remains largely qualitative, lacking quantifiable models and empirically validated performance boundaries. To address this gap, this study constructs a quantitative analysis model based on 387 digital visual works (2019-2024), measuring three dimensions: visual hierarchy complexity (2-6 layers), number of dynamic elements (3-28 units), and interaction frequency (0.5-6.0 times/minute). Using Min-Max normalisation and a weighted comprehensive evaluation method, the study identifies optimal performance ranges: works with 4-5 visual layers, 10-20 dynamic elements, and 2.0-4.0 interactions per minute achieve the highest stability in visual performance index (mean = 0.74-0.82) and comprehensive evaluation scores (mean = 0.74-0.79). Model validation using Cronbach's α (0.79-0.85) and repeated computation (SD = 0.018-0.031) confirms internal consistency and stability. This study presents a reproducible quantitative framework for multimedia art evaluation in digital exhibitions, new media and interactive design.

Keywords: visual communication design; multimedia art; visual expression; interactive design; digital media.

DOI: 10.1504/IJRIS.2026.154385

International Journal of Reasoning-based Intelligent Systems, 2026 Vol.18 No.16, pp.71 - 86

Received: 16 Mar 2026
Accepted: 06 May 2026
Published online: 25 Jun 2026 *

 

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