Research and Application of Color Factor Extraction Model for Military Cabins Based on Analytic Hierarchy Process

Su, Sheng; Song, Zhiqiang; Xuan, Fu; Hu, Po

doi:10.1109/icid52250.2020.00022

Cited by 3 publications

(1 citation statement)

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“…Color perception involves studying human psychological activities through colors, initiating from vision to perception, emotion, and thought, thereby generating delicate cognitive associations (Sheng et al, 2020). Color possesses a communication ability that is swifter than language.…”

Section: Command Cabin Environment Design and Its Visual Relationship...mentioning

confidence: 99%

Research on Design Principles of Vehicle-Mounted Command Cabin Environment under Visual Perception

Zhiqiang,

Mohamad Rasli,

Seng

et al. 2024

IJARBSS

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To enhance the operational efficiency of military command and crew performance, thereby strengthening overall military combat effectiveness, this study focuses on vehicle-mounted command cabins within military equipment. It explores the integration of visual perception theory into the design of vehicle-mounted command cabins. Aiming to fulfill crew requirements for cabin environment based on the characteristics of the human visual perception system, this research attempts to establish a comfortable, efficient, and harmonious relationship between the crew and the cabin environment to enhance work efficiency and augment combat soft power, providing a reference for future command cabin design. In this study, the first phase investigates the relationship between the crew and the spatial environment of the command cabin, exploring from the perspective of vision and cognition, and analyzing factors in the cabin environment that affect crew psychology and behavior. During the second phase, integrating environmental psychology, cognitive psychology, and ergonomics, the authors propose holistic, comfortable, experiential, and efficient design principles for the command cabin environment based on visual perception theory, offering theoretical support for later design practices.

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Section: Command Cabin Environment Design and Its Visual Relationship...mentioning

confidence: 99%

Research on Design Principles of Vehicle-Mounted Command Cabin Environment under Visual Perception

Zhiqiang,

Mohamad Rasli,

Seng

et al. 2024

IJARBSS

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Investigating emotional design of the intelligent cockpit based on visual sequence data and improved LSTM

Wang,

Shi,

et al. 2024

Advanced Engineering Informatics

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Optimizing Outdoor Micro-Space Design for Prolonged Activity Duration: A Study Integrating Rough Set Theory and the PSO-SVR Algorithm

Tian,

Chen,

Yuan

et al. 2024

Buildings

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This study proposes an optimization method based on Rough Set Theory (RST) and Particle Swarm Optimization–Support Vector Regression (PSO-SVR), aimed at enhancing the emotional dimension of outdoor micro-space (OMS) design, thereby improving users’ outdoor activity duration preferences and emotional experiences. OMS, as a key element in modern urban design, significantly enhances residents’ quality of life and promotes public health. Accurately understanding and predicting users’ emotional needs is the core challenge in optimizing OMS. In this study, the Kansei Engineering (KE) framework is applied, using fuzzy clustering to reduce the dimensionality of emotional descriptors, while RST is employed for attribute reduction to select five key design features that influence users’ emotions. Subsequently, the PSO-SVR model is applied to establish the nonlinear mapping relationship between these design features and users’ emotions, predicting the optimal configuration of OMS design. The results indicate that the optimized OMS design significantly enhances users’ intention to stay in the space, as reflected by higher ratings for emotional descriptors and increased preferences for longer outdoor activity duration, all exceeding the median score of the scale. Additionally, comparative analysis shows that the PSO-SVR model outperforms traditional methods (e.g., BPNN, RF, and SVR) in terms of accuracy and generalization for predictions. These findings demonstrate that the proposed method effectively improves the emotional performance of OMS design and offers a solid optimization framework along with practical guidance for future urban public space design. The innovative contribution of this study lies in the proposed data-driven optimization method that integrates machine learning and KE. This method not only offers a new theoretical perspective for OMS design but also establishes a scientific framework to accurately incorporate users’ emotional needs into the design process. The method contributes new knowledge to the field of urban design, promotes public health and well-being, and provides a solid foundation for future applications in different urban environments.

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Research and Application of Color Factor Extraction Model for Military Cabins Based on Analytic Hierarchy Process

Cited by 3 publications

References 0 publications

Research on Design Principles of Vehicle-Mounted Command Cabin Environment under Visual Perception

Research on Design Principles of Vehicle-Mounted Command Cabin Environment under Visual Perception

Investigating emotional design of the intelligent cockpit based on visual sequence data and improved LSTM

Optimizing Outdoor Micro-Space Design for Prolonged Activity Duration: A Study Integrating Rough Set Theory and the PSO-SVR Algorithm

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