Interdisciplinary Application of Fractal Algorithm-Based Zodiac Symbol Graphic Design in Product Packaging
Abstract
With the widespread dissemination of Western astrological culture among the younger generation, its unique popular cultural characteristics have deeply penetrated public life, leading to the formation of a design and production market themed around astrology. Against this backdrop, design works increasingly utilize fractal graphics and computer algorithms to optimize visual effects and aesthetic features, thereby showcasing the diversity of design and providing practical application value. This study aims to explore the application of fractal algorithms in astrological symbol graphic design and further apply it to the field of product packaging design. Through various research methods such as literature review, expert interviews, questionnaire surveys, and experimental analysis, this study conducts an in-depth analysis of visual aesthetic elements in design and combines them with fractal patterns to achieve innovative design effects. The study employs the fuzzy analytic hierarchy process to meticulously analyze primary evaluation factors such as visual aesthetic elements, graphic design aesthetic elements, textual design elements, and color design elements, as well as their secondary weight factors. Based on the analysis results of the importance of design elements, sample designs are created using existing fractal pattern materials. The outcomes of this study not only provide new design ideas for the product packaging of astrological symbol graphic design but also offer valuable references for interdisciplinary research in design studies and related disciplines, further promoting the market value and cultural dissemination of astrological symbol graphic design products among young people.
Keywords: Astrological symbol culture, graphic design, fractal algorithms, packaging design, fuzzy analytic hierarchy process.
DOI: 10.54941/ahfe1005618
Cite this paper
More from this volume
- Implementing an AI Fatigue Risk Management System for Aviation Maintenance SMS: A Technology Enhanced Critical Process Human Factors Safety Plan
- Deep Learning Forecast of Perceptual Load Using fNIRS Data
- Artificial intelligence in the function of improving port systems
- Formalizing Trust in Artificial Intelligence for Built Environment Decision-Making
- Artificial Intelligence and Design: Innovation, Practical Applications, and Future Creative Horizons
- Supporting Informal Sustainability Learning with AI-assisted Educational Technology
- An assessment of the maintenance of heritage buildings using AI and IoT: a South African perspective
- What if we Could Entangle Drones? Towards the Management of a Swarm of Drones as a Non-Local Quantum Object
- Engaging All Elderly Residents in Community Renewal: Designer Spotlight Interview Tool for LLM Building
- AI Play in Higher Education: Students’ perceptions of play and co-creation of knowledge with generative AI
- Optimizing AI Involvement in Engineering University Courses Based on Students' Personality
- Predictive Model for Partner Agencies Dependency on Food Banks


AHFE Open Access