Leveraging bioinformatics to enhance multi-sensory environmental art design: Insights from molecular and cellular biomechanics and human experience
Abstract
With the rapid development of bioinformation technology and its wide application in various fields, its combination with multi-sensory environmental art design provides new possibilities for creating more personalized, interactive and emotional user experience. With human experience as the core design concept, this paper discusses explore how to use bioinformatics to reveal the principles of molecular and cellular biomechanics to improve multi-sensory environmental art design, aiming to enhance users’ immersion and satisfaction in various environments by integrating advanced algorithms and technical means. This paper initially outlines the core elements of bioinformatics technology, encompassing fundamentals of bioinformatics, biological signal processing, and their capacity to detect and analyze biomechanical responses at the molecular and cellular levels. It delves into the potential interplay between multisensory environmental stimulation and molecular-cellular biomechanics, elucidating how, grounded in biomechanics principles, environmental cues elicit alterations at these microscopic scales. Furthermore, the paper presents research methodologies grounded in bioinformatics, leveraging VR/AR and other simulated multi-sensory art environments, in tandem with cellular experimental techniques, to investigate the biomechanical responses of molecules and cells, including alterations in cell morphology and molecular expression patterns. Machine learning algorithms are employed to analyze the data, aiming to uncover the relationships between multi-sensory environments, bioinformatics, and molecular-cellular biomechanics. Additionally, the paper explores the application of bioinformatics in enhancing user experience and social interaction through personalized adjustments based on physiological signals, emotional recognition algorithms, and the design of health-promoting environments tailored for specific populations. The pivotal roles of algorithms such as machine learning, adaptive optimization, and data mining are highlighted, demonstrating how they aid designers in comprehending and addressing user needs. Ultimately, bioinformatics offers insights into the biomechanical mechanisms of molecules and cells within multi-sensory environments, fostering innovative perspectives in art design. Finally, the paper summarizes the contribution of bioinformation technology to multi-sensory environment design and looks forward to future research, particularly the impact of emerging technologies like quantum computing and brain-computer interfaces. While these technologies show potential, the paper lacks an analysis of their application and technical feasibility in this context. Future research should focus on integrating these technologies with existing ones, addressing challenges such as compatibility, scalability, and cost, and outlining practical implementation steps. Overall, the paper presents current findings and points toward a more intelligent and humane future for the field.
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