<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>As digital media technologies evolve, immersive experiences have increasingly become a focal point in the field of visual communication design. This paper explores the practical implications of integrating visual communication design with cutting-edge virtual reality (VR) technology and proposes a novel method rooted in VR. Our first innovative approach involves a virtual space reconstruction technique that leverages the central eye concept to mitigate discrepancies in user experiences due to varying perceptions of content. Subsequently, we employ the Gabor wavelet transform method to extract key visual features pertinent to human-computer interaction. This allows us to develop a perceptual model of visual targets in human-computer interactions, thereby enhancing the accuracy and efficacy of visual communication by grounding it in sensory cognition and user experience. In practical application, the visual communication design method proposed in this paper has a high signal-to-noise ratio (avg=43.407) and a short computing time (avg=2.24), and its overall recognition rate in multi-sensory virtual experience is as high as 95.6%. The study validates the viability of the virtual reality-based visual communication design method proposed in this paper and encourages the innovative development of visual communication design.</p>
</abstract>

As digital media technologies evolve, immersive experiences have increasingly become a focal point in the field of visual communication design. This paper explores the practical implications of integrating visual communication design with cutting-edge virtual reality (VR) technology and proposes a novel method rooted in VR. Our first innovative approach involves a virtual space reconstruction technique that leverages the central eye concept to mitigate discrepancies in user experiences due to varying perceptions of content. Subsequently, we employ the Gabor wavelet transform method to extract key visual features pertinent to human-computer interaction. This allows us to develop a perceptual model of visual targets in human-computer interactions, thereby enhancing the accuracy and efficacy of visual communication by grounding it in sensory cognition and user experience. In practical application, the visual communication design method proposed in this paper has a high signal-to-noise ratio (avg=43.407) and a short computing time (avg=2.24), and its overall recognition rate in multi-sensory virtual experience is as high as 95.6%. The study validates the viability of the virtual reality-based visual communication design method proposed in this paper and encourages the innovative development of visual communication design.

Exploration of Visual Communication Design Methods Combining Virtual Reality Technology

Department of Visual Communication Design

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

As digital media technologies evolve, immersive experiences have increasingly become a focal point in the field of visual communication design. This paper...

Exploration of Visual Communication Design Methods Combining Virtual Reality Technology

Online veröffentlicht: 03. Juni 2024

Seitenbereich: -

Eingereicht: 12. Feb. 2024

Akzeptiert: 23. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-1339

Schlüsselwörter
Virtual reality, Visual communication design, Virtual space correction, Wavelet transform, Human-computer interaction

© 2024 Baojuan Xu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Exploration of Visual Communication Design Methods Combining Virtual Reality Technology

Online veröffentlicht: 03. Juni 2024

Seitenbereich: -

Eingereicht: 12. Feb. 2024

Akzeptiert: 23. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-1339

SchlüsselwörterVirtual reality, Visual communication design, Virtual space correction, Wavelet transform, Human-computer interaction

© 2024 Baojuan Xu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Virtual reality, Visual communication design, Virtual space correction, Wavelet transform, Human-computer interaction