室内设计方案设计的 SCI 论文
基于人工智能与自动化算法的室内空间生成与优化设计
该组论文核心聚焦于利用机器学习、生成式对抗网络(GAN)、遗传算法、空间句法及数据驱动模型,实现室内布局、风格化设计及空间配置的自动化与智能化方案生成。
- CSID-GAN: A Customized Style Interior Floor Plan Design Framework Based on Generative Adversarial Network(Zhou Wu, Xiaolong Jia, Ruiqi Jiang, Yuxiang Ye, Hongtuo Qi, Chengran Xu, 2024, IEEE Transactions on Consumer Electronics)
- Automatic Interior Design in Augmented Reality Based on Hierarchical Tree of Procedural Rules(P. Kán, Andrija Kurtic, M. Radwan, Jorge Rodríguez, 2021, Electronics)
- A Tool for the Automated Design and Evaluation of Habitat Interior Layouts(M. Simon, A. Wilhite, 2013, AIAA SPACE 2013 Conference and Exposition)
- Hybrid Recommendation Algorithm for Intelligent Interior Space Design(Yu Wang, 2026, Procedia Computer Science)
- Computer vision based room interior design(N Ahmad, S Hussain, K Ahmad, 2015, … Conference on Machine …)
- Research on Optimization of Interior Space Design Based on Machine Learning Algorithm(Chong Chen, Siwei Li, Jingyong Huang, 2024, Frontiers in Artificial Intelligence and Applications)
- The innovative model of interior design under the integration of housing functional zoning and environmental art(Y Li, F Liu, Z Wang, 2025, International Journal for Housing Science and Its Applications)
- Research on Virtual Reality Scene Construction and Space Layout Optimization in Interior Design Based on Collaborative Optimization Algorithm(Jiefang Jin, 2026, International Journal of Computer Information Systems and Industrial Management Applications)
- Interior Layout Optimization for Low-Gravity Habitats Incorporating Contact-Assisted Postural Stability(Karin Yoshino, Masaki Takahashi, 2026, Results in Engineering)
- DesignScape: Design with Interactive Layout Suggestions(Peter O'Donovan, A. Agarwala, Aaron Hertzmann, 2015, Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems)
- Machine Learning Algorithm-Based Strategy for Identifying Housing Interior Design Styles and Optimizing Artistic Solutions(J Wang, 2025, International Journal for Housing Science and Its Applications)
- Research on Multidimensional Characterization of Interior Design and Architectural Decoration Styles Based on Clustering Algorithm(Y Sun, 2025, International Journal for Housing Science and Its Applications)
- Optimization of low-energy building interior design based on machine vision: Environmental thermal energy conduction and layout design(Ying Hu, Xinmin Wang, Zhenli Xu, L. Yuan, 2024, Thermal Science and Engineering Progress)
- A Data-Driven Modular Framework for Interior Spatial Intensification: Optimizing Compactness and Circulation Efficiency in Affordable Housing Layouts through Evolutionary Algorithms and Circulation Simulation(Fanbo Zeng, Shan Chen, Xiaoke Feng, Donghang Zou, Chunying Li, Jianhua Lei, 2026, SSRN Electronic Journal)
- Spatial Logic of Shopping Malls: Application of Space Syntax in understanding Economics of Architecture(Sumanta Deb, K. Mitra, 2020, Creative Space)
- A Survey of Personalized Interior Design(Y. Wang, C. Liang, N. Huai, J. Chen, C. Zhang, 2023, Computer Graphics Forum)
- Modeling architectural design objectives in physically based space planning(Scott A. Arvin, D. House, 2002, Automation in Construction)
- Automated interior design using a genetic algorithm(P. Kán, H. Kaufmann, 2017, Proceedings of the 23rd ACM Symposium on Virtual Reality Software and Technology)
- Combining Combinatorial Optimization Algorithms for Diversity of Traditional Cultures in Cruise Ship Interior Designs(J Gong, R Jiang, L Wang, S Li, 2025, International Journal for Housing Science and Its Applications)
- Building Circulation from a Syntactic Context in Relation to Indoor Thermal Environment(L. Hiasat, P. Januário, 2021, Advances in Science, Technology & Innovation)
以用户为中心的设计体验与心理行为评估研究
该组研究关注室内设计如何通过心理学、人机工程学、用户行为分析、虚拟现实交互及多模态数据反馈,构建以人为本的体验评价体系与空间决策模型。
- Approach to the Interior Design Using Augmented Reality Technology(Jiang Hui, 2015, 2015 Sixth International Conference on Intelligent Systems Design and Engineering Applications (ISDEA))
- Improving the UX for Users of Automated Shuttle Buses in Public Transport: Investigating Aspects of Exterior Communication and Interior Design(A. Riener, Dominik Schlackl, Julia Malsam, Josef Huber, Benjamin Homm, Marion Kaczmar, Iris Kleitsch, Alina Megos, Eun-Ju Park, Gülsüm Sanverdi, Sabrina Schmidt, Daniel Bracaci, Esha Anees, 2021, Multimodal Technologies and Interaction)
- The impact of interior design on human psychology(Sevinj Hanifayeva İbrahim, 2026, Dunakavics)
- Abstraction and Its Creative Applications in Interior Space Design(Salah Abdallah, 2026, European Journal of Arts, Humanities and Social Sciences)
- The Role of Interior Design in Achieving Healthy Workplaces According to Lighting Indicators of “WELL Standard”(Atyab Ali Naser, Hamzah Al-mamoori, 2023, International Journal of Safety and Security Engineering)
- The Hide and Seek of Workspace: Towards Human-Centric Sustainable Architecture(Hamed S. Alavi, Himanshu Verma, J. Mlynář, D. Lalanne, 2018, Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems)
- Functional Workspace Optimization via Learning Personal Preferences from Virtual Experiences(Wei Liang, Jingjing Liu, Yining Lang, Bing Ning, L. Yu, 2019, IEEE Transactions on Visualization and Computer Graphics)
- A MULTI-STAGE VALIDATION OF AN INTERIOR DESIGN MODEL FOR PSYCHOLOGICAL WELL-BEING(A. Dananjaya, 2026, KURVATEK)
- The Effect of Interior Design Elements and Lighting Layouts on Prospective Occupants’ Perceptions of Amenity and Efficiency in Living Rooms(Sang-won Lee, Hussain Alzoubi, Soo-Ki Kim, 2017, Sustainability)
- AIDED: Augmenting Interior Design with Human Experience Data for Designer–AI Co-Design(Yang Chen Lin, Chen-Ying Chien, Kaihui Hou, Hung-Yu Chen, Po-Chih Kuo, 2026, Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems)
- Virtual reality-based decision support model for interior design and decoration of an office building(Yi-Kai Juan, Hao-Yun Chi, Hsing-Hung Chen, 2019, Engineering, Construction and Architectural Management)
- Image composition influences on the mood board visual reading process through eye-tracking(Marcos Roberto dos Reis, E. Merino, 2021, Product Management & Development)
- An Empirical Study of How Socio-Spatial Formations are Influenced by Interior Elements and Displays in an Office Context(Bokyung Lee, Michael Lee, Pan Zhang, Alex Tessier, Azam Khan, 2019, Proceedings of the ACM on Human-Computer Interaction)
- The application of interactive technology in interior design and its promotion of art and design innovation(D Zong, 2025, International Journal for Housing Science and Its Applications)
- Using Digital Human Models to Evaluate the Ergonomic Comfort of Interior Layouts and Furniture Design(Yomna El-Ghazouly, Ahmed El Antably, 2021, Technology|Architecture + Design)
- Senior Living Environments: Evidence-Based Lighting Design Strategies(Michael D. White, S. Ancoli-Israel, Richard Wilson, 2013, HERD: Health Environments Research & Design Journal)
设计方法论、教学实践与数字媒介应用研究
该组文献重点探讨室内设计的教育教学法、设计哲学、审美趋势构建、理论框架开发以及数字视觉文化与交互媒体在创作过程中的应用。
- Architecture Students and AI: Exploring Applications and Perceptions in the Class(Saniye Fışgın, 2026, CONTEXTO. Revista de la Facultad de Arquitectura de la Universidad Autónoma de Nuevo León)
- Digital Visual Culture in Interior Architecture Education: Aesthetic Codes and Spatial Narratives in Student Renderings(Dilek Yasar, Ufuk Fatih Kucukali, 2026, Buildings)
- Determining key colors from a design perspective using dE ‐means color clustering(A. Gijsenij, Marjan Vazirian, Peter Spiers, S. Westland, Pim Koeckhoven, 2022, Color Research & Application)
- ARCHITECTURE AND EDUCATION: "PROJECT BASED LEARNING" AS A TEACHING STRATEGY AND LEARNING OF PROJECT IN THE INTERIOR DESIGN COURSE OF THE FEDERAL INSTITUTE OF SÃO PAULO, BRAZIL(Rosana Vieira-Sbruzzi, C. Ferreira, T. A. Barbosa, Raíssa Borges, 2021, EDULEARN Proceedings)
- The Embodied Sensory Approach in Interior Design Education: A Multisensory Framework for Concept Development(G. Ebbini, 2026, Journal of Interior Design)
- Diagrams of Diagrams: Architectural Abstraction and Modern Representation(A. Vidler, 2000, Representations)
- Research on application of assembling parts method based on virtual reality technology in interior design(G Xie, X Chang, 2021, Journal of Physics: Conference Series)
- Research on the Aesthetic Trends and Development Directions of Interior Design in the AI Environment(Fei Qi, Zihan Yue, Elias Kahatir, Jiaxu Shen, Chao Zhou, 2026, Lecture Notes in Electrical Engineering)
- INTERIOR DESIGN PROJECT'S CONCEPT LEADING TO MATERIAL SCHEMES IN UNDERGRADUATE STUDIES(G. Elsamanoudy, 2021, INTED Proceedings)
- Application practice of Oriental design strategy in interior space design(Yihui Du, L. Peng, Zijing Zhang, Yi Li, 2021, E3S Web of Conferences)
- Analysis of Interior Space Design and Visual Artistic Effect(Wang Qian, 2018, 2018 1st International Conference on Education, Art, Management and Social Sciences (EAMSS 2018))
室内物理环境性能优化与可持续技术实施
该组文献集中于室内设计中的技术实现维度,关注照明设计、自然通风控制及物联网(IoT)能源管理系统的集成,以提升室内环境的可持续发展指标。
- New Concepts in Interior Lighting Design(Kao Chen, 1984, IEEE Transactions on Industry Applications)
- Optimized Indoor Natural Ventilation Design Integrating Thermal Comfort and Architectural Aesthetics: A Multi-Objective Thermodynamic Simulation Study(Bingxin Yan, Jie Wu, Sihang Hou, 2026, International Journal of Heat and Technology)
- Integrating Smart IoT Power Outlets with Spatial Planning for Sustainable Interior Environments(Stephani Inggrit Swastini Dewi, Andre Kurniawan Pamudji, Cindy Fiolita Graciela, Agustina Alam Anggitasari, 2025, 2025 IEEE 23rd Student Conference on Research and Development (SCOReD))
室内设计方案设计的SCI论文研究可划分为四大范式:一是利用AI与多学科优化算法驱动设计的智能化生成;二是通过心理学与交互技术量化用户体验与空间效能;三是基于设计理论、教学实践与数字媒介的定性与半定性研究;四是关注建筑环境物理性能(照明、通风、能源)的可持续性优化。这四类方向共同构成了当代跨学科室内设计研究的完整框架。
总计50篇相关文献
As a revolutionary design approach, generative design could offer promising solutions for intelligent design. Considering the high expenses and poor efficiency inherent in traditional interior design, this paper proposes a customized style interior design (CSID) framework based on Generative Adversarial Network (GAN). The CSID-GAN is a two-stage generative model that could first generate rational interior layout schemes and then personalize the style to achieve desired design outcomes. To this end, various loss functions are incorporated to train the generative model for different design tasks. The dataset-model twining method is iteratively utilized to create more diverse design proposals, enabling the model to extensively learn personalized design concepts. Moreover, for evaluating the design results, a comprehensive assessment system is developed at each stage, and the rationality and applicability of this assessment system were validated. Finally, CSID-GAN is employed in optional style design tests for different house layouts. The experimental results have verified the practical feasibility of CSID-GAN.
… In summary, the optimal layout scheme for interior design obtained by layout optimization basically meets the layout requirements of the living space, and has high consistency with the …
… parameter adaptive evolution, in order to obtain the optimal interior design scheme, which can perfectly realize the deep integration of housing functional zoning and environmental art …
… selection of color scheme for an interior space. The two main tasks involved in interior design are object positioning and color assignment. In computer vision based interior design the …
This paper starts from the reality of the interior design industry, combines the characteristics and system of VR technology to elaborate in detail, starts from the interior design process, takes several projects interior design as an example, compares the traditional interior scheme design method with the interior scheme design method under VR technology, and summarizes the innovation of the VR technology in the interior scheme to the art design.Compared with the typical scheduling algorithms FCFS and SJF, the A* algorithm proposed in this paper has better execution efficiency, with the average response time and waiting time in the interval of 0~0.3 and 0~0.6, respectively.The user interaction related indexes have high scores, all of them are not less than 6 points.Comparing with two traditional interior design methods, the interior program design method under VR technology improves the overall visual effect of the interior space, with the overall visual effect exceeding 80% in both cases.It can also change the thinking and approach of traditional design to create a different emotional design of interior space.
… Interior design has always been an art that seeks to balance individual aesthetic … China Interior Decoration Association in 2023, about 72% of homeowners hope that the design scheme …
Social progress has prompted people to gradually improve the quality of life, and the requirements for the living environment are also higher and higher, and the housing interior design with artistic style has attracted widespread attention.In this paper, HSV color model and GLCM algorithm are used to extract color features and texture features of housing interior design style images, and then combined with local sorting difference refinement algorithm to obtain local features of housing interior design style images.After obtaining the two features of housing interior design styles, a simple Bayesian classifier of machine learning algorithm is constructed to recognize and classify housing interior design styles.In order to enhance the accuracy of style identification and classification, an adaptive majority voting decision fusion algorithm is introduced to distribute the weights of the plain Bayesian classification results and output the optimal weights to improve the accuracy of housing interior design style identification and classification.The average accuracy of color features extracted by HSV color model is up to 91.05%, and the classification accuracy of LSDRP algorithm is 98.39% when local features are extracted.Compared with the TSVM model, the OA, AA and Ka indexes of this paper's method are improved by 20.79%, 29.03%, and 27.39%, respectively, when performing housing interior design style identification and classification.The use of machine learning algorithms can realize the accurate identification and classification of housing interior design styles, which provides a reference for improving the level of housing interior art atmosphere design.
As an important symbol of technological progress and a specific consumption space for daily life, cruise ships are an important medium for national power competition and traditional culture dissemination.The article innovatively proposes a model of cruise ship interior design based on field theory, which relies on the transformation and expression of modernity of traditional culture to promote the diversified development of interior design.The mathematical model of cruise ship interior design is established by rasterizing cruise ship interior design through the raster method and introducing the discount factor.The genetic algorithm and simulated annealing algorithm are combined to construct the GSA algorithm, which is used to solve the cruise ship interior design layout optimization model.The coefficient of variation method and the fuzzy comprehensive evaluation model are introduced to realize the comfort evaluation model for the integration of traditional culture expression in cruise ship interior design, which provides data support for the diversity of traditional culture expression in cruise ship interior design.When the scale of the cruise ship interior design layout scheme gradually increases, the fluctuation range of the GSA algorithm is within [0.81%,2.47%].The width of the accessible pathway of the double bed in the accessible cabin on the side of the porthole in the layout optimization scheme actually takes the value of 1020mm, which meets the calibration requirement of the minimum limit (900mm).The weight of culture in cruise ship interior design can be up to 0.2648, and the comprehensive evaluation score of comfort is 7.581, with an evaluation grade of average.To carry out the diverse expression of traditional culture in cruise ship interior design, it is necessary to fully extract Chinese style elements and combine with green decorative materials to enhance the culturality of cruise ship interior design.
… This study addresses the following: the concept of interior design projects and how it leads to the material schemes for students in the undergraduate study, how to select the …
… conceptual design. The designer and customer establish a 3D interior space model together in conceptual … has created a 3D interior model based on the interior construction plan. The …
This research explores how creative abstraction, the purposeful use of non-literal, simplified, deconstructed, or reinterpreted forms, patterns, and spatial gestures—can influence psychological well-being in interior spaces. We propose that abstraction is not merely an aesthetic movement, but a tool for shaping user experience, mood, identity, and well-being in interior design. The research presents a conceptual framework that connects abstraction techniques (e.g., deconstruction, distillation of form, and symbolic layering) with dimensions of psychological well-being (e.g., a sense of control, cohesion, orientation, belonging, and sensory tranquility). A mixed-methods case study was conducted in an experimental interior design intervention: a flexible learning studio where grouped abstraction movements (e.g., abstract wall rhythms, non-literal ceiling patterns, and fragmented circulation areas) were introduced. The research analyzes user responses (via questionnaires and interviews) and environmental metrics (lighting levels and acoustics). The findings suggest that spaces rich in abstraction can foster a sense of comfort, renewal, and identity, but they may also require careful calibration to avoid distraction or overstimulation. We conclude with design recommendations for practitioners and educators on integrating abstraction-based strategies to support psychological well-being in interior design.
Interior space is the basic living environment structure of human beings, and it is the material environment for people to live and work. Therefore, the design of interior space involves the relationship between people and space, and often reflects the behavioral and psychological needs of people from the side. With the improvement of material living standards, people's demand for interior space design has long been no longer limited to a simple place, but a higher level of design connotation and concept, more in line with personal life needs. In the design process, designers in this field have to consider the visual artistic effect in order to make the interior space perfect. Therefore, designers should not only consider from the applicability and practicability of space, but also need to consider from the aspects of color matching, plane composition and visual perception. Besides, it is also necessary to use the formal language of art to combine interior design with visual artistic effect to design works that better meet the psychological needs of contemporary people. Through the exploration and research of interior space design and visual artistic effect, this paper discusses the meaning and design principles of interior space design and visual artistic effect on interior space design. In addition, this paper also discussed the embodiment of visual artistic effect in interior space design through the actual example analysis. 1. The Meaning and Design Principle of Interior Space Design The interior space design refers to the use of material means by the designer to create an indoor environment that combines the functional and aesthetic characteristics of the building and meets the material and spiritual needs of people according to the environment in which the building is located and other corresponding standards. At the same time, it can also reflect the characteristics of the building itself and the human atmosphere. As an extension of architectural design, interior space design is the main way to improve building functions on the basis of architecture. Its design principles are mainly reflected in four points. The first principle is functionality and applicability. When transforming indoor space, rational use of space and meeting the practical use and specific needs of space is the primary goal of interior space design, which is to make people and space be coordinated and satisfied to the greatest extent. The second principle is economic rationality. As the name implies, that is, while innovating and improving the taste of the interior, we must fully consider the principles of economic application, be practical, and not spend extra money on materials and energy. The third is the 2018 1st International Conference on Education, Art, Management and Social Sciences (EAMSS 2018) Published by CSP © 2018 the Authors DOI: 10.23977/eamss.2018.075 362 principle of coordination with the objective environment. Although interior space design is an extension of architectural design, both are subject to environmental and other objective factors. Therefore, in the design, we must emphasize the principle of coordination with the objective environment, so as to do a good job in the use of materials and space. The fourth principle is the overall design thinking. As the component of architectural design, interior space design should take into account the overall design thinking, coordinate with the overall characteristics of the building in terms of spatial form and architectural style, and build a more harmonious living or working environment. At present, the development of interior space design field has been continuously transformed with the economic growth of our country. Whether it is the design concept, the design plan, or the layout and utilization of the space has been further improved. The diversified interior space design style and diversified aesthetic understanding have contributed to the in-depth development of interior space design itself. In the process of interior design, how to make good use of space and create a good visual artistic effect is the primary development goal in the field. 2. The Function of Visual Artistic Effect to Interior Space Design Visual perception is one of the most basic perceptions of people to things, and the most important way to convey the communication between people, people and the environment. Today, visual art is widely used in various industries, which not only greatly promotes the development of innovation in various fields, but also activates its own diversified development. The field of visual art in the traditional definition does not explicitly point out its relationship with the interior space design, but today, interior space design is full of visual art. It can not only be reflected from the angles intuitive images, but also enhance the atmosphere and artistic conception of indoor space through visual experience, thus becoming an important way to convey emotion and aesthetic perception. For example, when visual art uses a wall as a carrier, the wall will be like a canvas as used in two-dimensional painting, and its creative means will be more direct. Moreover, the wall surface has a large plasticity and can be expressed by various art forms. Different wall surfaces are affected by different materials, shapes, colors, etc., and can be shaped into a visual experience with a large space for exertion. In addition, when visual art uses the ground as a carrier, the designer can achieve the purpose of creating an indoor space atmosphere by the color of the overall space, the matching of the materials, and the arrangement of the composition. For example, the color of the floor can reflect the color of the corresponding place. The composition of the point, line and surface in the floor can create the atmosphere and temperament of the whole environment. The material of the floor can reflect the cultural background of the indoor space. Moreover, when visual art is based on the ceiling, the designer needs to consider the importance of the ceiling in the interior design during the design process. The ceiling is the most direct and important part of improving the overall spiritual quality of the building and shaping the interior space. Due to the great flexibility of the ceiling design, many designers will make bold ideas in space design, which requires full consideration of the visual art of modeling and composition in architecture and space. For example, the use of lights in the design of the ceiling enhances the sense of form and composition of the overall design. In summary, visual artistic effect is indispensable in the design of interior space. It contributes to the creation of an environmental atmosphere and can greatly enhance people's aesthetic feelings about space. Moreover, people's psychological and emotional factors can be expressed in an abstract way, thus fully satisfying people's psychological needs for the environment.
… space planning is a means for automating the conceptual design process by applying the physics of motion to space plan … The data structure for an interior objective contains a space …
This article presents the Embodied Sensory Approach (ESA), a structured pedagogical framework developed and refined by the author through nearly a decade of teaching interior design studios. The ESA was created to address the problem of residual ocularcentrism and over-abstraction in interior design by using multisensory engagement as a primary epistemological framework during concept development. Drawing from embodied cognition theory, experiential learning, and multisensory design principles, this framework is intended to address significant gaps in traditional design education by recalibrating the relationship between how spaces tend to be conceptualized during design and how they are actually experienced by users. The ESA is organized into four sequential phases with specific activities that encourage students to engage in structured sensory interactions and then integrate those experiences with design concept development. The method is grounded in existing trends from biophilic design pedagogy, participatory design, and place-grounded design, while extending their insights into a structured series of linked educational activities. Extensive observational evidence from a senior-level interior design studio is presented to demonstrate the implementation and effectiveness of the ESA. Obstacles to implementation, cross-cultural applications, intersections with diverse student learning styles, and future research needs are discussed.
In alignment with the global pursuit of the Sustainable Development Goals (SDGs), particularly those concerning sustainable cities (SDG 11) and responsible consumption (SDG 12), energy management in the built environment has become a critical priority. The rapid proliferation of Internet of Things (IoT) devices in modern interiors, while offering convenience, exacerbates this challenge by increasing electricity demand and contributing to energy waste through phantom loads. A significant gap persists between available technological solutions and their effective integration into interior architectural design practices.This study addresses this challenge by presenting a comprehensive framework for integrating a custom-developed, low-cost IoT smart outlet system into the interior spatial planning process. The hardware prototype integrates an ESP32 microcontroller, an ACS712 current sensor, a relay, and an I2C LCD for local feedback. This physical unit is managed by a responsive web-based platform that empowers designers and users with tools for dynamic energy management, including remote control, automated scheduling, and real-time consumption monitoring. The entire framework is validated through a proof-of-concept implementation in a home office, utilizing a strategic "energy zoning" methodology to align power availability with user activity.Functional and quantitative tests confirm the system's robust performance. The results quantitatively demonstrate the complete elimination of standby power waste ('phantom load') during scheduled off-hours, validating the system's direct impact on energy conservation. The primary contribution of this research is a paradigm shift in how smart technology is perceived in interior architecture. We reconceptualize the smart outlet not as a reactive, add-on consumer device, but as a proactive, fundamental component of smart building infrastructure. By embedding this technology from the initial design phase, this framework enables architects and designers to proactively engineer energy efficiency into the very fabric of a space, fostering environments that are not merely functional and aesthetic, but inherently and automatically sustainable.
… to aesthetic, ergonomic and functional rules called interior design … interior designs by minimizing the cost function using a genetic algorithm. Moreover, we extend the optimization …
… -aesthetic … optimization of thermal comfort, architectural aesthetics, and thermodynamic dissipation. The framework establishes an analytical coupling model that directly links aesthetic …
In recent years, with the rapid development of artificial intelligence technology, the field of interior design has begun to widely apply artificial intelligence technology, which is based on the fact that artificial intelligence technology possesses both advanced technical performance and multiple functions. Machine learning algorithms as an important technical field of artificial intelligence, its application in interior design is still in the exploratory stage, but has great potential for development. This paper introduces the basic concepts of machine learning algorithms, analyzes the current situation of interior design as well as the development and challenges of artificial intelligence control technology. It focuses on the specific application of machine learning algorithm technology in interior design, emphasizing the innovation and application prospect of its research. Finally, it summarizes the results of existing research and discussion, emphasizes the importance and potential of machine learning algorithms in the optimization of interior space design, and proposes directions for further research and practice.
The functionality of a workspace is one of the most important considerations in both virtual world design and interior design. To offer appropriate functionality to the user, designers usually take some general rules into account, e.g., general workflow and average stature of users, which are summarized from the population statistics. Yet, such general rules cannot reflect the personal preferences of a single individual, which vary from person to person. In this paper, we intend to optimize a functional workspace according to the personal preferences of the specific individual who will use it. We come up with an approach to learn the individual's personal preferences from his activities while using a virtual version of the workspace via virtual reality devices. Then, we construct a cost function, which incorporates personal preferences, spatial constraints, pose assessments, and visual field. At last, the cost function is optimized to achieve an optimal layout. To evaluate the approach, we experimented with different settings. The results of the user study show that the workspaces updated in this way better fit the users.
Interior design is the core step of interior decoration, and it determines the overall layout and style of furniture. Traditional interior design is usually laborious and time‐consuming work carried out by professional designers and cannot always meet clients' personalized requirements. With the development of computer graphics, computer vision and machine learning, computer scientists have carried out much fruitful research work in computer‐aided personalized interior design (PID). In general, personalization research in interior design mainly focuses on furniture selection and floor plan preparation. In terms of the former, personalized furniture selection is achieved by selecting furniture that matches the resident's preference and style, while the latter allows the resident to personalize their floor plan design and planning. Finally, the automatic furniture layout task generates a stylistically matched and functionally complete furniture layout result based on the selected furniture and prepared floor plan. Therefore, the main challenge for PID is meeting residents' personalized requirements in terms of both furniture and floor plans. This paper answers the above question by reviewing recent progress in five separate but correlated areas, including furniture style analysis, furniture compatibility prediction, floor plan design, floor plan analysis and automatic furniture layout. For each topic, we review representative methods and compare and discuss their strengths and shortcomings. In addition, we collect and summarize public datasets related to PID and finally discuss its future research directions.
Augmented reality has a high potential in interior design due to its capability of visualizing numerous prospective designs directly in a target room. In this paper, we present our research on utilization of augmented reality for interactive and personalized furnishing. We propose a new algorithm for automated interior design which generates sensible and personalized furniture configurations. This algorithm is combined with mobile augmented reality system to provide a user with an interactive interior design try-out tool. Personalized design is achieved via a recommender system which uses user preferences and room data as input. We conducted three user studies to explore different aspects of our research. The first study investigated the user preference between augmented reality and on-screen visualization for interactive interior design. In the second user study, we studied the user preference between our algorithm for automated interior design and optimization-based algorithm. Finally, the third study evaluated the probability of sensible design generation by the compared algorithms. The main outcome of our research suggests that augmented reality is viable technology for interactive home furnishing.
Research on the Aesthetic Trends and Development Directions of Interior Design in the AI Environment
… It also analyzes the development direction of interior design … , green and energy-saving space optimization, as well as the evolution … the multifaceted evolution of interior design, provides …
The design of a workplace can have a profound impact on the effectiveness of the workforce utilizing the space. When considering dynamic social activities in the flow of work, the constraints of the static elements of the interior reveals the adaptive behaviour of the occupants in trying to accommodate these constraints while performing their daily tasks. To better understand how workplace design shapes social interactions, we ran an empirical study in an office context over a two week period. We collected video from 24 cameras in a dozen space configurations totaling 1,920 hours of recorded activities. We utilized computer vision techniques, to produce skeletonized representations of the occupants, to assist in the annotation and data analysis process. We present our findings of socio-spatial formation patterns and the effects of furniture and interior elements on the observed behaviour of collaborators for both computer-supported work and for unmediated social interaction. Combining the observations with an interview of the occupants' reflections, we discuss dynamics of socio-spatial formations and how this knowledge can support social interactions in the domain of space design systems and interactive interiors.
… the spatial logic, form composition, texture organization, and furniture styles of interior design. … , it can be seen that the space is very different from the traditional interior design. The living …
… , stripped down, and vast interiors, lit by translucent panels and … Their schematic renderings of historical space prepared the … reversals in function and spatial organization that appear, for …
Purpose The purpose of this paper is to develop a virtual reality (VR)-based and user-oriented decision support system for interior design and decoration. The four-phase decision-making process of the system is verified through a case study of an office building. Design/methodology/approach Different “spatial layouts” are presented by VR for users to decide their preference (Phase 1). According to the selected spatial layout, a “spatial scene” is constructed by VR and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) is used to determine the spatial scene preference (Phase 2). Based on the binary integer programming method, the system provides the optimal preliminary solution under a limited decoration budget (Phase 3). Finally, the consistency between the overall color scheme and pattern is fine-tuned by VR in order to obtain the final solution (Phase 4). Findings The questionnaire survey results show that decision makers generally affirm the operation and application of VR, and especially recognize the advantages in the improvement of VR-based interior design feasibility, communication efficiency and design decision-making speed. The optimization of the costs and benefits enables decision makers to effectively evaluate the impact of design decisions on subsequent project implementation during the preliminary design process. Originality/value The VR-based decision support system for interior design retains the original immersive experience of VR, and offers a systematic multiple criteria decision- making and operations research optimization method, thus, providing more complete decision-making assistance. Compared with traditional design communication, it can significantly reduce cognitive differences and improve decision-making quality and speed.
As the incidence of indoor health concerns escalates, the prioritization of healthy interior design techniques in workplaces emerges as a critical strategy to enhance worker productivity and efficiency. Extensive research has highlighted the profound impact of lighting on employee physical and mental health, designating it as a key determinant of wellbeing in the workplace. The WELL Building Standard (WELLv2) constitutes a comprehensive and rigorous framework addressing the multifaceted origins of these concerns. It engenders lighting conditions that bolster mental, visual, and psychological health, and in professional settings, these conditions are demonstrated to improve mood and productivity. The research problem identified herein is the pervasive lack of awareness of interior design elements, such as lighting, and their misapplication in alignment with international standards. This lapse engenders environments that are detrimental to health. In this investigation, the extent to which architectural designers integrate WELLv2 lighting indicators in working environments is scrutinized in relation to healthy interior design. A descriptive-analytical method is employed to probe the research topic. Three buildings are evaluated against WELL lighting indicators. Moreover, the Wellness Score metric is utilized to assess the indoor lighting of the selected buildings, determining their eligibility for WELL certification. The primary objective of this study is to identify the key design needs of architectural designers for promoting healthy indoor lighting. The fulfillment of this objective is pursued through the use of WELL lighting indicators and standards.
… concepts, and tools for interior lighting design will be generated. Among them are 1) new method of determining lighting … lighting design techniques to embody these new concepts and …
… Beneficial, non-pharmacological interventions through evidence-based interior lighting design have been identified for treatment of chronic sleep disorders in elderly residents of senior …
Oriental design is based on Oriental cultural tradition and philosophy. After merging with the essence of modern design, it has gained new vitality and constantly meets the spiritual and material needs of modern people. This paper mainly summarizes the design strategies from three aspects: element minimalism, light and shadow inheritance and meditation practice. Combined with the team practice case analysis, this paper hopes to provide help for other designers’ localization design thinking. It is hoped that designers can establish cultural confidence based on their understanding of Oriental culture and philosophy, and naturally integrate Oriental Spirit into future design.
Despite broad adoption of Digital Human Models (DHMs) in other disciplines, the use of ergonomics in interior design heavily depends on design standards that offer rigid guidelines that do not adapt to design or human schemata. Digital ergonomic assessments and DHMs help designers predict and evaluate comfort for more human-centered designs. This paper proposes a framework to incorporate digital ergonomic evaluations to quantify and assess interior spaces’ ergonomic comfort using customized DHMs. The framework demonstrates a closed feedback loop connecting 3D models with Human Builder to perform quantitative ergonomic tests while offering real-time results with design recommendations. This implementation showed that individual physical capabilities affected the users’ comfort and design outcomes.
The impact of interior design on human psychology is one of the relevant directions of modern scientific research. Human behavior, emotional state, and overall psychological comfort are shaped by both visual and functional environmental factors. The color of space, lighting, material selection, furniture arrangement, and decorative elements directly influence people’s behavioral responses and emotional states. A psychologically well-designed interior reduces stress levels, increases productivity, and improves overall quality of life. The aim of the study is to examine the psychological effects of interior design on a scientific basis, identify the mechanisms through which modern design elements influence human psychology, and present practical recommendations. Within the scope of the research, various scientific methods were used to evaluate the impact of visual and functional parameters on human behavior, emotional state, and social interactions. Research findings indicate that spatial color palettes, lighting levels, acoustic conditions, positioning, and scale can significantly influence human behavior and emotional responses. For example, warm colors increase energy levels and stimulate activity, while cool colors have a calming effect. Lighting plays a crucial role in ensuring psychological comfort and minimizing eye strain. In addition, furniture layout and spatial organization shape freedom of movement, social interaction, and the sense of personal space. The results of the study demonstrate that a synthesized application of elements such as color, lighting, acoustics, and spatial planning in interior design is more effective in enhancing psychological comfort. This approach allows for the optimization of behavioral patterns and emotional states in both individual and public spaces.
… , and human mobility relies heavily on hand contact with surrounding interior elements to … This study formulates interior layout planning for low-gravity living spaces as a quantitative …
This study examines the effect of interior design elements on prospective occupants’ perceptions of amenity and efficiency in a residential space. Thirty-one prospective occupants participated in a survey using virtual reality environments that consist of various combinations of interior design elements. In this study, occupants’ perceptions were discussed in terms of affordance and satisfaction, and the relationship between them is interpreted statistically. The spatial factors affecting overall satisfaction at a detailed level were discussed. The causal relationship between the interior design elements and space were determined under the elaboration of perception processing. Multiple linear relationships between a limited number of spatial factors and virtually created space were analyzed. The perceived affordance of interior design elements was influenced by priming and concrete behaviors in a space. The materials, surfaces, and colors were weak contributors to clear perceptions about space. The occupants’ evaluative perception processing elaborations were not effectively activated in the assessment of spatial design adequacy (SDA) in terms of materials, surfaces, and colors in a space.
Interior design often struggles to capture the subtleties of client experiences, leaving gaps between what clients feel and what designers can act upon. We present AIDED, a designer–AI co-design workflow that integrates multimodal client data into generative AI (GAI) design processes. In a within-subjects study with twelve professional designers, we compared four modalities: baseline briefs, gaze heatmaps, questionnaires visualizations, and AI-predicted overlays. Results show that questionnaire data were trusted, creativity-enhancing, and satisfying; gaze heatmaps increased cognitive load; and AI-predicted overlays improved GAI communication but required natural language mediation to earn trust. Interviews confirmed that an authenticity–interpretability trade-off is central to balancing client voices with professional control. Our contributions are: (1) a system that incorporates experiential client signals into GAI design workflows, (2) empirical evidence of how different modalities affect design outcomes, and (3) implications for future AI tools that support human–data interaction in creative practice.
… ) in assessing the impact of alternative architectural layouts on human perception and behavior (as we … The visualization of the user data superimposed on the spatial layout of the rooms …
This article provides an overview of existing research on low-energy buildings and interior design, pointing out the shortcomings of traditional design methods in terms of thermal …
… to easily switch between exploring alternative layouts and refining the current layout. … layout. We also learn a “style space” from examples, which can be used to generate new layouts in …
… of interior layouts is often ignored during conceptual design because of the subjectivity and long times required using current evaluation methods (eg, human-in-the… a new interior design …
With the wide application of virtual reality technology to the field of interior design, people pay more and more attention to the spatial layout of virtual interior scenes and the simulation effect of scene construction. In this study, we first design the indoor spatial point matching algorithm based on three-dimensional vision, use the similarity metric formula to solve the distance between the spatial points in the base image and the original image, and eliminate the wrong points to improve the spatial point matching accuracy, and then use the VR technology to carry out the virtual modeling of the interior scene. The energy function is introduced for optimization, spatial layout planning is carried out, and the collaborative particle swarm algorithm is used for optimization to realize the exploration of indoor virtual reality scene construction and spatial layout optimization methods. In the chi-square test p-value, for Q1 (the null hypothesis is that participants vote the same number of votes for each emotion), the p-value is much lower than 0.05, and the results indicate that there is a difference in voting for each emotion. For Q2 (the null hypothesis is that the participants vote the same number of votes for the answer to the question of whether the color distribution is similar to the common color distribution of that type of scene in other scenes except the real scene), the results are more diverse, which shows that the color distribution is similar to the common color distribution of that type of scene, thus verifying the validity and correctness of the method in this paper.
… This section investigates the spatial correlation of interior residential furniture to establish a quantitative methodology for modular decomposition and recombination. The research …
… He argues that circulation is not merely an optimization, where it is thought that the most efficient is to organize rooms with minimal circulation space. Rather, they should be thought of …
Research findings of architecture and environmental psychology espouse the supremacy of built environment in influencing human behavior in general and movement behavior within buildings and urban areas in particular. Retail management studies on the other hand highlight the importance of influencing human movement as a determining factor for tenant-mix design. Identifying a proper mix of tenant stores in a shopping mall is responsible for its economic performance and is considered a strategic mall management decision. In practice, this decision is taken by management professionals, based mostly on gut feeling or rule of thumb. So, there is a scope for integration of knowledge of these two different disciplines for significantly enhancing tenanting decision making in shopping malls, which will ultimately lead to its economic success. A proper methodology is required in this juncture to relate spatial configuration with movement. Verbal description of space, prevalent in the architectural practice, makes it difficult for correlating with measurable variables like footfall. Space syntax analysis is a potential evidence based approach for quantitative description of configuration in explaining movement through space. The purpose of this paper is twofold: identifying the supremacy of space syntax measures over normal metric measures and establishing a spatial rationale behind tenanting decision making (optimal area and rent of tenant stores) through developing the standard bid-rent model with tenant store specific variables and solving under the conditions of maximizing profit and situation of perfect competition. Consequently, retail space planning will not only be an accommodator of functional requirements but will be a potential tool for economic success through generating, controlling and predicting movement. Search Keywords for This Page Logic of space, Space syntax architecture, Architectural standards shopping mall, Journal of space syntax, Space syntax in architecture, Economic importance of shopping malls, Understanding space in architecture, Shopping mall architecture case study
… represent important information about the envisioned interior designs. In this article, we focus on digital mood boards and we propose a novel method to determine the mood boards' …
Mood boards (MB) are a visual tool used to provide references for inspiration and decision-making in the design development process. However, it isn't easy to obtain objective and precise measures about the MB organization if exclusively qualitative approaches identify how the image composition can affect the visual reading process. In this sense, this study aimed to evaluate how the position and physical image aspects influence an attentive MB visual reading. The results presented that variations in image contrast and positioning influence the observer's visual reading. Besides, the observers' identified tendencies were to concentrate the visualisations in the boards' central, lower and left areas, indicating the importance of this region's MB construction. Moreover, the results evidence that the visual reading of an MB presents a different pattern from those reported by studies directed to analysing the visual reading of websites. Thus, changes in image positioning influenced the viewer's perception, being a relevant point to be considered when assembling the MB's image composition. The results of this study contribute to creating criteria for the construction of MB.
This study investigates how digital representation practices shape spatial meaning-making, aesthetic coherence, and narrative construction in interior design education. Responding to a notable gap in the literature regarding the limited examination of student-produced visuals as visual–cultural artifacts, the research analyzes how emerging designers employ digital tools to construct spatial identity and atmosphere. The dataset consists of 816 images produced by 34 fifth semester interior design students within a design studio project focused on the adaptive reuse of a standardized school building. The study adopts a hybrid methodological framework that combines Gillian Rose’s multi-sited visual analysis with Braun and Clarke’s reflexive thematic analysis, alongside a semiotic interpretation informed by Kress and van Leeuwen, Barthes, and Manovich. The analysis reveals three recurring themes across the projects: a fluid spatial identity articulated through guided circulation and rhythmic compositional strategies; digital nature abstractions developed through software-mediated organic metaphors; and institutional comfort atmospheres characterized by symmetry, tonal neutrality, and controlled relationships between material and light. Overall, the findings demonstrate that digital visualization tools function not only as technical means of representation but also as mediating environments that interact with students’ design intentions, visual culture exposure, and pedagogical frameworks, shaping spatial thinking and aesthetic coherence. In this respect, the study provides critical and timely insights into the evolving pedagogical structure of digital interior design education.
Abstract Traditional interior design often prioritizes aesthetics over users' psychological needs, while existing Human-Centered Design (HCD) approaches remain intuitive. This research proposes and validates a "human as an element" design paradigm focused on personalization, flexibility, and autonomy. A multi-stage mixed-methods methodology was used to test its impact on psychological well-being. The first stage, a Virtual Reality (VR) experiment (N=180), found that the "human as an element" design significantly increased psychological well-being compared to a minimalist (control) design, providing causal evidence. The second stage, a pre-test/post-test field case study (N=46), implemented these principles in a real-world setting. Results showed a dramatic increase in psychological comfort, validating the model's practical effectiveness. This study bridges the gap between internal (VR) and external (field) validity, culminating in an empirically tested "Integrative Psycho-Behavioral Interior Design Model" for evidence-based practice.
This study examines the perception of architecture students on text-to-image AI tools in architectural design, focusing on their impact on creativity, efficiency, and the design process. Conducted within a "Design Research Methods" course for third-year architecture students, the research explores how AI-assisted tools can complement traditional design methodologies, particularly in user-centered design projects. Students used AI technologies such as DALL-E and ChatGPT to create personas, mood boards, and customer journey maps, combining text-to-image and text generation capabilities to support various stages of the design process. Two surveys conducted during the course gauged students' familiarity with AI, their initial skepticism, and their evolving perspectives post-interaction with AI tools. Results indicate that students found AI tools beneficial in generating diverse design ideas, accelerating visualization, and enhancing ideation. Despite initial reservations, students recognized AI’s potential in optimizing the design process, although challenges in technical accuracy and prompt interpretation were noted. While this study talks about the pros and cons of using AI in design education, it also suggests ways that AI could be better integrated into user-centered approaches. Findings underscore AI's role in fostering a forward-thinking approach to design education, preparing students for the evolving demands of the architectural field.
As a precursor to future public transportation, automated shuttle buses can already be experienced in some test regions, but the general public still has reservations and may not yet be ready for this change. For example, the fact that such vehicles might operate independently (without a human driver) creates a barrier of uncertainty and mistrust among people. In this work, we aim to identify and classify the prevailing reservations and propose solutions. We followed the User Centered Design (UCD) process to design concepts that are specifically tailored to the needs of future public transport users. After related work analysis, on-site research, and pre-studies, two main studies were conducted specifically to address communication in the exterior (n = 24) and interior/service design (n = 21). For both studies, we applied a mixed-methods approach combining quantitative and qualitative measures. Our results indicate that, in general, existing ways of communication in the exterior are insufficient to meet future needs. The two visualization concepts for external communication developed in this work were rated (significantly) better in most dimensions of the User Experience Questionnaire (UEQ), when compared to the baseline condition with no additional visualization. Furthermore, preferences among the study participants towards simple, highly visible, and well-known lighting concepts could be observed. As for the interior, the results show that participants rated attractiveness highly for the two design concepts (closer, further in the future) as compared to current, state-of-the-art solutions (automated buses currently in operation). For the “near future” concept, the pragmatic quality dominated, while in the other (the “far future”) concept the hedonic quality was in the foreground. From the results, design recommendations in different categories were derived, which reflect the general openness of the public towards new technologies and interior approaches, but also point out the importance for privacy and designated personal spaces inside an (automated) shuttle bus. Some of the results do not strictly apply to automated shuttle buses, and can serve as valuable suggestions for improving conventional shuttle buses.
… field of Interior Design based on pedagogical strategies that articulate methodology by … It was made posters of Mood Board to guide the project strategies and define the project's …
室内设计方案设计的SCI论文研究可划分为四大范式:一是利用AI与多学科优化算法驱动设计的智能化生成;二是通过心理学与交互技术量化用户体验与空间效能;三是基于设计理论、教学实践与数字媒介的定性与半定性研究;四是关注建筑环境物理性能(照明、通风、能源)的可持续性优化。这四类方向共同构成了当代跨学科室内设计研究的完整框架。