التصميم الداخلي المستقبلي توقعات ومخاوف بشأن دمج الذكاء الاصطناعي في المنازل الذكية
DOI:
https://doi.org/10.65405/8h2q9y21Keywords:
التصميم الداخلي، الذكاء الاصطناعي، وإنترنت الأشياء، والمنازل الذكيةAbstract
الخلفية: يُمثل دمج الذكاء الاصطناعي وإنترنت الأشياء في التصميم الداخلي للمنازل الذكية تحولاً جذرياً في السعي نحو بيئات معيشية مستدامة تُركز على المستخدم. وعلى الرغم من الزيادة الكبيرة في الاهتمام البحثي بهذا المجال، إلا أن الفهم الشامل لهذه الظاهرة متعددة التخصصات لا يزال محدوداً. يمكن لنماذج محاكاة الذكاء الاصطناعي تحسين وظائف المنزل وراحة شاغليه، مع خفض استهلاك الطاقة بشكل كبير من خلال تحسين التحكم وزيادة الموثوقية وتحسين الأتمتة.
الهدف: تهدف هذه الدراسة إلى دراسة وتحليل دمج الذكاء الاصطناعي وإنترنت الأشياء في التصميم الداخلي للمنازل الذكية، مع التركيز على استكشاف المخاوف الحالية والآفاق المستقبلية الواعدة.
المنهجية: أُجريت مراجعة منهجية شاملة باستخدام تصميم استكشافي نوعي. وشملت عملية البحث قواعد بيانات علمية رئيسية، بما في ذلك PubMed وScopus وWeb of Science وGoogle Scholar، للبحث عن المنشورات باللغة الإنجليزية من عام 2010 إلى عام 2025. وطُبقت معايير إدراج واستبعاد محددة لتصفية المقالات ذات الصلة المستخرجة من المجلات المحكمة وأوراق المؤتمرات. استُخدم تحليل الموضوع لاستخراج وتصنيف البيانات المتعلقة بالتكامل التكنولوجي، وتجربة المستخدم، والاستدامة، واتجاهات التصميم.
النتائج الرئيسية: كشف التحليل المتعمق عن الإمكانات الهائلة لتقنيات الذكاء الاصطناعي في تحسين أداء واستدامة تصميمات المنازل الذكية. وشملت التحديات الرئيسية التي تم تحديدها مخاوف الأمن السيبراني، وقبول المستخدم، والتعقيد التكنولوجي المرتبط بها. وبرزت حلول تصميمية مبتكرة، تُبرز فعالية الأنظمة التكيفية والتنبؤية.
الآثار والتوجهات المستقبلية: تُعزز هذه الدراسة قاعدة المعرفة النظرية، وتُقدم رؤى عملية قيّمة لمصممي الديكور الداخلي، والمهندسين، ومطوري التكنولوجيا. كما تُسلط الضوء على فجوات بحثية كبيرة، وتدعو إلى دراسات مستقبلية متعددة التخصصات تدمج المناهج الكمية والنوعية لمواصلة دراسة تفاعل المستخدم، وقضايا الأمن، والآثار البيئية في بيئات المنازل الذكية المتقدمة.
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References
Ahmad, M. B., Abdullahi, A. A., Muhammad, A. S., Bello Saleh, Y., & Usman, U. B. (2019). The Various Types of sensors used in the Security Alarm system. Int. J. New Comput. Arch. Their Appl., 9, 50.
Al Dakheel, J., Del Pero, C., Aste, N., & Leonforte, F. (2020). Smart buildings features and key performance indicators: A review. Sustainable Cities and Society, 61, 102328. https://doi.org/10.1016/j.scs.2020.102328
Alexakis, G., Panagiotakis, S., Fragkakis, A., Markakis, E., & Vassilakis, K. (2019). Control of Smart Home Operations Using Natural Language Processing, Voice Recognition and IoT Technologies in a Multi-Tier Architecture. Designs, 3(3), 32. https://doi.org/10.3390/designs3030032
Almusaed, A., Almssad, A., & Alasadi, A. (2019). Analytical interpretation of energy efficiency concepts in the housing design process from hot climate. Journal of Building Engineering, 21, 254–266. https://doi.org/10.1016/j.jobe.2018.10.026
Almusaed, A., Yitmen, I., Almsaad, A., Akiner, İ., & Akiner, M. E. (2021). Coherent Investigation on a Smart Kinetic Wooden Façade Based on Material Passport Concepts and Environmental Profile Inquiry. Materials, 14(14), 3771. https://doi.org/10.3390/ma14143771
Almusaed, A., Yitmen, I., & Almssad, A. (2023). Enhancing Smart Home Design with AI Models: A Case Study of Living Spaces Implementation Review. Energies, 16(6), 2636. https://doi.org/10.3390/en16062636
Al‐Turjman, F., Zahmatkesh, H., & Shahroze, R. (2022). An overview of security and privacy in smart cities’ IoT communications. Transactions on Emerging Telecommunications Technologies, 33(3). https://doi.org/10.1002/ett.3677
Bogdan, R., Tatu, A., Crisan-Vida, M. M., Popa, M., & Stoicu-Tivadar, L. (2021). A Practical Experience on the Amazon Alexa Integration in Smart Offices. Sensors, 21(3), 734. https://doi.org/10.3390/s21030734
Borodinecs, A., Palcikovskis, A., & Jacnevs, V. (2022). Indoor Air CO2 Sensors and Possible Uncertainties of Measurements: A Review and an Example of Practical Measurements. Energies, 15(19), 6961. https://doi.org/10.3390/en15196961
BURATTINI, E., DEGREGORIO, M., & TAMBURRINI, G. (2002). Hybrid Expert SystemsAn Approach to Combining Neural Computation and Rule-Based Reasoning. In Expert Systems (pp. 1315–1354). Elsevier. https://doi.org/10.1016/B978-012443880-4/50081-8
Chang, S., & Nam, K. (2021). Smart Home Adoption: The Impact of User Characteristics and Differences in Perception of Benefits. Buildings, 11(9), 393. https://doi.org/10.3390/buildings11090393
Chen, C., Ma, Y., Lv, J., Zhao, X., Li, L., Liu, Y., & Gao, W. (2023). OL-SLAM: A Robust and Versatile System of Object Localization and SLAM. Sensors, 23(2), 801. https://doi.org/10.3390/s23020801
Cho, M. E., & Kim, M. J. (2022). Smart Homes Supporting the Wellness of One or Two-Person Households. Sensors, 22(20), 7816. https://doi.org/10.3390/s22207816
Cioffi, R., Travaglioni, M., Piscitelli, G., Petrillo, A., & De Felice, F. (2020). Artificial Intelligence and Machine Learning Applications in Smart Production: Progress, Trends, and Directions. Sustainability, 12(2), 492. https://doi.org/10.3390/su12020492
Clements, N., Zhang, R., Jamrozik, A., Campanella, C., & Bauer, B. (2019). The Spatial and Temporal Variability of the Indoor Environmental Quality during Three Simulated Office Studies at a Living Lab. Buildings, 9(3), 62. https://doi.org/10.3390/buildings9030062
Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1), 24–42. https://doi.org/10.1007/s11747-019-00696-0
De Fazio, R., Mastronardi, V., Petruzzi, M., De Vittorio, M., & Visconti, P. (2022). Human–Machine Interaction through Advanced Haptic Sensors: A Piezoelectric Sensory Glove with Edge Machine Learning for Gesture and Object Recognition. Future Internet, 15(1), 14. https://doi.org/10.3390/fi15010014
De Spiegeleire, S., Maas, M., & Sweijs, T. (2017). What is artificial intelligence? https://doi.org/https://www.jstor.org/stable/resrep125
Desjardins, A., Viny, J. E., Key, C., & Johnston, N. (2019). Alternative Avenues for IoT. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 1–13. https://doi.org/10.1145/3290605.3300581
Ding, D., Cooper, R. A., Pasquina, P. F., & Fici-Pasquina, L. (2011). Sensor technology for smart homes. Maturitas, 69(2), 131–136. https://doi.org/10.1016/j.maturitas.2011.03.016
Diraco, G., Leone, A., & Siciliano, P. (2019). AI-Based Early Change Detection in Smart Living Environments. Sensors, 19(16), 3549. https://doi.org/10.3390/s19163549
Elkholy, M. H., Senjyu, T., Lotfy, M. E., Elgarhy, A., Ali, N. S., & Gaafar, T. S. (2022). Design and Implementation of a Real-Time Smart Home Management System Considering Energy Saving. Sustainability, 14(21), 13840. https://doi.org/10.3390/su142113840
Farag S. N. (2023). The future of interior design industry in the light of Artificial intelligence spread. مجلة العمارة والفنون والعلوم الإنسانیة, 8(37), 639–656. https://doi.org/10.21608/mjaf.2021.65478.2240
Farooq, K., Syed, H. J., Alqahtani, S. O., Nagmeldin, W., Ibrahim, A. O., & Gani, A. (2022). Blockchain Federated Learning for In-Home Health Monitoring. Electronics, 12(1), 136. https://doi.org/10.3390/electronics12010136
Farzaneh, H., Malehmirchegini, L., Bejan, A., Afolabi, T., Mulumba, A., & Daka, P. P. (2021). Artificial Intelligence Evolution in Smart Buildings for Energy Efficiency. Applied Sciences, 11(2), 763. https://doi.org/10.3390/app11020763
Fathy Ashour, A., & Rashdan, W. (2023). Smart Technologies in Interior Design. The International Journal of Designed Objects, 18(1), 39–59. https://doi.org/10.18848/2325-1379/CGP/v18i01/39-59
Ge, R., Shan, Z., & Kou, H. (2011). An intelligent surveillance system based on motion detection. 2011 4th IEEE International Conference on Broadband Network and Multimedia Technology, 306–309. https://doi.org/10.1109/ICBNMT.2011.6155946
Ghaffarianhoseini, A., Ghaffarianhoseini, A., Tookey, J., Omrany, H., Fleury, A., Naismith, N., & Ghaffarianhoseini, M. (2016). The Essence of Smart Homes. In Artificial Intelligence (pp. 79–121). IGI Global. https://doi.org/10.4018/978-1-5225-1759-7.ch004
Ghahramani, A., Galicia, P., Lehrer, D., Varghese, Z., Wang, Z., & Pandit, Y. (2020). Artificial Intelligence for Efficient Thermal Comfort Systems: Requirements, Current Applications and Future Directions. Frontiers in Built Environment, 6. https://doi.org/10.3389/fbuil.2020.00049
Ghosh, A., Chakraborty, D., & Law, A. (2018). Artificial intelligence in Internet of things. CAAI Transactions on Intelligence Technology, 3(4), 208–218. https://doi.org/10.1049/trit.2018.1008
Golightly, L., Chang, V., Xu, Q. A., Gao, X., & Liu, B. S. (2022). Adoption of cloud computing as innovation in the organization. International Journal of Engineering Business Management, 14. https://doi.org/10.1177/18479790221093992
Guo, X., Shen, Z., Zhang, Y., & Wu, T. (2019). Review on the Application of Artificial Intelligence in Smart Homes. Smart Cities, 2(3), 402–420. https://doi.org/10.3390/smartcities2030025
Haefner, N., Wincent, J., Parida, V., & Gassmann, O. (2021). Artificial intelligence and innovation management: A review, framework, and research agenda✰. Technological Forecasting and Social Change, 162, 120392. https://doi.org/10.1016/j.techfore.2020.120392
Homod, R. Z., Yaseen, Z. M., Hussein, A. K., Almusaed, A., Alawi, O. A., Falah, M. W., Abdelrazek, A. H., Ahmed, W., & Eltaweel, M. (2023). Deep clustering of cooperative multi-agent reinforcement learning to optimize multi chiller HVAC systems for smart buildings energy management. Journal of Building Engineering, 65, 105689. https://doi.org/10.1016/j.jobe.2022.105689
Javaid, M., Haleem, A., Rab, S., Pratap Singh, R., & Suman, R. (2021). Sensors for daily life: A review. Sensors International, 2, 100121. https://doi.org/10.1016/j.sintl.2021.100121
Kanimozhi, Dr. V., & Sneha, V. (2024). The Role of Artificial Intelligence in Smart Homes. IARJSET, 11(6). https://doi.org/10.17148/IARJSET.2024.11648
Karimi, R., Farahzadi, L., M.E. Sepasgozar, S., Sargolzaei, S., M. Ebrahimzadeh Sepasgozar, S., Zareian, M., & Nasrolahi, A. (2021). Smart Built Environment Including Smart Home, Smart Building and Smart City: Definitions and Applied Technologies. In Advances and Technologies in Building Construction and Structural Analysis. IntechOpen. https://doi.org/10.5772/intechopen.95104
Khan, M., Ahmad, I., Nordin, A., Ahmed, A., Mewada, H., Daradkeh, Y., Rasheed, S., Eldin, E., & Shafiq, M. (2022). Smart Android Based Home Automation System Using Internet of Things (IoT). Sustainability, 14(17), 10717. https://doi.org/10.3390/su141710717
Khodadadi, F., Dastjerdi, A. V., & Buyya, R. (2016). Internet of Things: an overview. In Internet of Things (pp. 3–27). Elsevier. https://doi.org/10.1016/B978-0-12-805395-9.00001-0
Li, T., & Chen, L. (2012). Internet of Things: Principle, Framework and Application (pp. 477–482). https://doi.org/10.1007/978-3-642-27326-1_61
Liu Yanhua. (2024). Research on the Application of Artificial Intelligence in Interior Design. International Journal of Science and Engineering Applications, 13(7), 24–29. https://doi.org/10.7753/IJSEA1307.1007
Lombardi, M., Pascale, F., & Santaniello, D. (2021). Internet of Things: A General Overview between Architectures, Protocols and Applications. Information, 12(2), 87. https://doi.org/10.3390/info12020087
Luo, L., Zhang, Y., Pearson, B., Ling, Z., Yu, H., & Fu, X. (2018). On the Security and Data Integrity of Low-Cost Sensor Networks for Air Quality Monitoring. Sensors, 18(12), 4451. https://doi.org/10.3390/s18124451
Okorafor, G. N., Opara, F. K., Chukwuchekwa, N., & Ononiwu, C. G. (2019). Voice activated Home System for the Movement Impaired Aged Persons. European Journal of Engineering and Technology Research, 4(11), 32–37. https://doi.org/10.24018/ejeng.2019.4.11.1616
Perilla, F. S., Villanueva, G. R., Cacanindin, N. M., & Palaoag, T. D. (2018). Fire Safety and Alert System Using Arduino Sensors with IoT Integration. Proceedings of the 2018 7th International Conference on Software and Computer Applications, 199–203. https://doi.org/10.1145/3185089.3185121
Pradhan, B., Bhattacharyya, S., & Pal, K. (2021). IoT-Based Applications in Healthcare Devices. Journal of Healthcare Engineering, 2021, 1–18. https://doi.org/10.1155/2021/6632599
Pritoni, M., Meier, A. K., Aragon, C., Perry, D., & Peffer, T. (2015). Energy efficiency and the misuse of programmable thermostats: The effectiveness of crowdsourcing for understanding household behavior. Energy Research & Social Science, 8, 190–197. https://doi.org/10.1016/j.erss.2015.06.002
R., M., Y., R., R., R., & A., S. (2020). Smart Home Security System using Iot, Face Recognition and Raspberry Pi. International Journal of Computer Applications, 176(13), 45–47. https://doi.org/10.5120/ijca2020920105
Radha, R. K. (2022). Flexible smart home design: Case study to design future smart home prototypes. Ain Shams Engineering Journal, 13(1), 101513. https://doi.org/10.1016/j.asej.2021.05.027
Rashdan, W. (2016). The impact of innovative smart design solutions on achieving sustainable interior design. 623–634. https://doi.org/10.2495/SC160521
Risteska Stojkoska, B. L., & Trivodaliev, K. V. (2017). A review of Internet of Things for smart home: Challenges and solutions. Journal of Cleaner Production, 140, 1454–1464. https://doi.org/10.1016/j.jclepro.2016.10.006
Ruiz-Zafra, A., Benghazi, K., & Noguera, M. (2022). IFC+: Towards the integration of IoT into early stages of building design. Automation in Construction, 136, 104129. https://doi.org/10.1016/j.autcon.2022.104129
Saad Alotaibi, B., Ibrahim Shema, A., Umar Ibrahim, A., Awad Abuhussain, M., Abdulmalik, H., Aminu Dodo, Y., & Atakara, C. (2024). Assimilation of 3D printing, Artificial Intelligence (AI) and Internet of Things (IoT) for the construction of eco-friendly intelligent homes: An explorative review. Heliyon, 10(17), e36846. https://doi.org/10.1016/j.heliyon.2024.e36846
Seo, S.-H., Choi, J.-I., & Song, J. (2017). Secure Utilization of Beacons and UAVs in Emergency Response Systems for Building Fire Hazard. Sensors, 17(10), 2200. https://doi.org/10.3390/s17102200
Sivaraman, V., Gharakheili, H. H., Fernandes, C., Clark, N., & Karliychuk, T. (2018). Smart IoT Devices in the Home: Security and Privacy Implications. IEEE Technology and Society Magazine, 37(2), 71–79. https://doi.org/10.1109/MTS.2018.2826079
Sokienah, Y. (2023). Exploring the integration of IoT systems in interior design and the built environment: A systematic review. Heliyon, 9(12), e22869. https://doi.org/10.1016/j.heliyon.2023.e22869
Sovacool, B. K., Martiskainen, M., & Furszyfer Del Rio, D. D. (2021). Knowledge, energy sustainability, and vulnerability in the demographics of smart home technology diffusion. Energy Policy, 153, 112196. https://doi.org/10.1016/j.enpol.2021.112196
Touqeer, H., Zaman, S., Amin, R., Hussain, M., Al-Turjman, F., & Bilal, M. (2021). Smart home security: challenges, issues and solutions at different IoT layers. The Journal of Supercomputing, 77(12), 14053–14089. https://doi.org/10.1007/s11227-021-03825-1
Vasquez, N. G., Amorim, C. N. D., Matusiak, B., Kanno, J., Sokol, N., Martyniuk-Peczek, J., Sibilio, S., Scorpio, M., & Koga, Y. (2022). Lighting conditions in home office and occupant’s perception: Exploring drivers of satisfaction. Energy and Buildings, 261, 111977. https://doi.org/10.1016/j.enbuild.2022.111977
Voskuhl, A. (2004). Humans, Machines, and Conversations. Social Studies of Science, 34(3), 393–421. https://doi.org/10.1177/0306312704043576
Wang, M., Zhang, G., Zhang, C., Zhang, J., & Li, C. (2013). An IoT-based appliance control system for smart homes. 2013 Fourth International Conference on Intelligent Control and Information Processing (ICICIP), 744–747. https://doi.org/10.1109/ICICIP.2013.6568171
Xiao, G. (2021). Machine Learning in Smart Home Energy Monitoring System. IOP Conference Series: Earth and Environmental Science, 769(4), 042035. https://doi.org/10.1088/1755-1315/769/4/042035
Yang, Z., & Cho, J. (2020). Application and Development Trend of Smart Home in Residential Interior Design. Journal of Physics: Conference Series, 1487(1), 012025. https://doi.org/10.1088/1742-6596/1487/1/012025
Yao, X. (2022). Design and Research of Artificial Intelligence in Multimedia Intelligent Question-Answering System and Self-Test System. Advances in Multimedia, 2022, 1–8. https://doi.org/10.1155/2022/2156111
Yitmen, I., Al-Musaed, A., & Yücelgazi, F. (2022). ANP model for evaluating the performance of adaptive façade systems in complex commercial buildings. Engineering, Construction and Architectural Management, 29(1), 431–455. https://doi.org/10.1108/ECAM-07-2020-0559
Zaidan, A. A., Zaidan, B. B., Qahtan, M. Y., Albahri, O. S., Albahri, A. S., Alaa, M., Jumaah, F. M., Talal, M., Tan, K. L., Shir, W. L., & Lim, C. K. (2018). A survey on communication components for IoT-based technologies in smart homes. Telecommunication Systems, 69(1), 1–25. https://doi.org/10.1007/s11235-018-0430-8
Zantalis, F., Koulouras, G., Karabetsos, S., & Kandris, D. (2019). A Review of Machine Learning and IoT in Smart Transportation. Future Internet, 11(4), 94. https://doi.org/10.3390/fi11040094
درعان، ندى عبد الله حسين. (2023). الذكاء الاصطناعي في التصميم الداخلي.
عثمان، م. ف. ا. م. (2025). دور الذكاء الاصطناعي فى تعزيز التصورات والدراسات البحثية الاولية فى إستوديو التصميم الداخلي لدعم رؤية 2030. مجلة العمارة والفنون والعلوم الإنسانية. https://doi.org/10.21608/mjaf.2025.382606.3672
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