Intelligent Residential Models and Humanized Design for Youth Consumer Groups
Abstract
In order to address the emotional and entertainment needs of empty nest youth during their stay at home, a smart living model and humanized design method targeting the youth consumer group have been proposed. This study focuses on the experience of young consumer groups in smart home entertainment scenarios, exploring the combination of intelligent living models and humanized design. With the application of the Internet of Things and artificial intelligence technology, smart home systems have achieved active interaction capabilities, optimizing the balance between information transmission and user experience. In terms of hardware, we ensure comfort, safety, and practicality by developing smart devices with high cost-effectiveness and stable performance, while achieving personalized scenario mode control. In the software field, an interactive platform has been designed that is easy to install, maintain, and expand, supporting intelligent control of various user scenarios and needs. Finally, combined with user participatory content generation, develop the open source ecological human interaction, and realize personalized adaptive operation interaction. The aim of this study is to improve the social status of young consumer groups, alleviate their feelings of loneliness and anxiety, broaden their channels for home life happiness, and promote the development of smart home scene experience towards a more human-machine inclusive interactive mode. This achievement contributes to the construction and development of a digital society, promoting the deep integration of information technology and modern life.
Keywords
Full Text:
PDFReferences
1. Cvitić I, Peraković D, Periša M, Stojanović MD. Novel classification of IoT devices based on traffic flow features. Journal of Organizational and End User Computing (JOEUC), 2021; 33(6), 1-20. http://doi.org/10.4018/JOEUC.20211101.oa12
2. Ona A, Gkhan E, Kranl, C, Ate H, Isikdemir, YE. A smart home energy monitoring system based on internet of things and inter planetary file system for secure data sharing. Computer and communication, 2023; 11(10), 64-81.
3. Yin, J, Huo, X, Cao, X, Li, R, Zhou, Y, Jiang, T, et al. Intelligent electronic password locker based on the mechanoluminescence effect for smart home. ACS Materials Letters,2023; 5(1), 11-18.
4. Handelzalts S. New ferroelectric material technology in remote electrical control system of smart home. Distributed Processing System ,2021; Vol. 2, Issue 1: 58-74. https://doi.org/10.38007/DPS.2021.020105.
5. Wu C, Yang L, Cai M, Zhao X, Sun Q. Security evaluation method of smart home cloud platform. International Journal of Pattern Recognition and Artificial Intelligence, 2023; (6), 37.
6. Huynh ND, Bouadjenek MR, Hassani A, Razzak I, Lee K, Arora C, et al. Jarvis: a voice-based context-as-a-service mobile tool for a smart home environment. 2022 23rd IEEE International Conference on Mobile Data Management (MDM),2022; 318-321.
7. Qiao M, Lv Y, Li S, Zhang H. Personalized and humanized design of building interior environment using Iot technology. Applied Mathematics and Nonlinear Sciences, 2024; 9(1).
8. Cui J, Du Z, Liu K, Cao J. The simulation design of smart home system based on internet of things. Journal of Computational Methods in Sciences and Engineering,2023; (6), 23.
9. Shi, G. Development of internet of things in the field of smart home security. SHS Web of Conferences,2023; 5(1), 22.
10. Limited PR. Voice-controlled light bulb socket adapter: semitech technology ltd: semitech technology ltd. Hardware Auto & Machinery, 2022; (4), 6.
11. Guha S, Iqbal R. Desco: detecting emotions from smart commands. 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC),2022; 1620-1625.
12. Laird R, Maynard T. Is your utility ready for the industrial internet of things?. OpFlow, 2023; (5), 49.
13. Paulauskas D, Eleyan A. Knock pattern based door lock with amazon alexa on raspberry pi. 2022 International Symposium on Networks, Computers and Communications (ISNCC),2022; 1-4.
14. Bortz D. Make every room in your home smarter. Kiplinger's Personal Finance,2022; (8), 76.
15. Kunekar P, Deshmukh A, Gajalwad S, Bichare A, Gunjal K, Hingade S. Ai-based desktop voice assistant. 2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE),2023; 1-4.
16. Prongnuch S, Sitjongsataporn, S. Voice controlled comparator improvement based on resource utilization in soc ecosystem for parking assist system. J. Mobile Multimedia, 2022; 18, 1079-1098.
17. Rikhye R, Wang Q, Liang Q, He Y, Mcgraw I. Closing the gap between single-user and multi-user voicefilter-lite.2022.
18. Crispiatico V, Baldanzi C, Napoletano A, Tomasoni L, Tedeschi F, Groppo E, et al. Effects of voice rehabilitation in people with ms: a double-blinded long-term randomized controlled trial. Multiple Sclerosis: Clinical And Laboratory Research, 2022; (7), 28.
DOI: https://doi.org/10.32629/jai.v7i5.1745
Refbacks
- There are currently no refbacks.
Copyright (c) 2024 Xiaoxing Zhang, Thirayu Thirayu Jumsai na Ayudhya
License URL: https://creativecommons.org/licenses/by-nc/4.0