Exploring human body dynamics to optimize spatial arrangements in interior and landscape design
Abstract
The interplay between human body dynamics (HBD) and spatial design (SD) is a crucial yet often overlooked factor in creating environments that optimize comfort, efficiency, and usability. This paper explores the application of HBD, including biomechanics, posture, gait, and balance, to the design of both interior and landscape spaces. Through analyzing body mechanics and movement patterns, this research aims to provide a framework for designers to create spaces that support natural human movement while reducing physical strain and enhancing user experience. This paper demonstrates how spatial arrangements can be optimized for various activities, user groups, and environments by utilizing gait analysis, motion capture, and force plate testing. Case studies from ergonomically designed office spaces, public transportation hubs, outdoor parks, and residential facilities illustrate the practical benefits of integrating HBD into SD. The research also identifies the limitations of current design practices, such as cost, complexity, and the lack of comprehensive data on diverse populations. Additionally, the paper explores future research opportunities, particularly the role of advancements in artificial intelligence, biomechanics, and wearable technology in creating dynamic, adaptive spaces that respond to user needs. The findings highlight the importance of SD that are visually appealing and aligned with users’ physical and ergonomic needs, ensuring that both interior and landscape environments promote comfort, accessibility, and overall well-being.
References
1. Liu, M., & Nijhuis, S. (2020). Mapping landscape spaces: Methods for understanding spatial-visual characteristics in landscape design. Environmental Impact Assessment Review, 82, 106376.
2. Wu, J. (2021). Landscape sustainability science (II): core questions and key approaches. Landscape Ecology, 36, 2453-2485.
3. LeVeau, B. (2024). Biomechanics of human motion: basics and beyond for the health professions. Routledge.
4. Luo, Y., Li, Y., Sharma, P., Shou, W., Wu, K., Foshey, M., ... & Matusik, W. (2021). Learning human–environment interactions using conformal tactile textiles. Nature Electronics, 4(3), 193-201.
5. Likens, A. D., & Stergiou, N. (2020). Basic biomechanics. Biomechanics and Gait Analysis, 16.
6. Engineer, A., Gualano, R. J., Crocker, R. L., Smith, J. L., Maizes, V., Weil, A., & Sternberg, E. M. (2021). An integrative health framework for wellbeing in the built environment. Building and Environment, 205, 108253.
7. Minucciani, V., & Saglar Onay, N. (Eds.). (2020). Well-being design and frameworks for interior space. IGI Global.
8. Salingaros, N. A. (2021). Rules for urban space: design patterns create the human scale. Journal of Urban Research and Development, 2(1), 4-16.
9. Kilmer, R., & Kilmer, W. O. (2024). Designing interiors. John Wiley & Sons.
10. Schraefel, M. C., & Jones, M. (2023). Discomfort: a new material for interaction design. Frontiers in Computer Science, 5, 958776.
11. Day, J. K., McIlvennie, C., Brackley, C., Tarantini, M., Piselli, C., Hahn, J., ... & Pisello, A. L. (2020). A review of select human-building interfaces and their relationship to human behavior, energy use and occupant comfort. Building and Environment, 178, 106920.
12. Zhang, Y., Chen, J., Liu, H., Chen, Y., Xiao, B., & Li, H. (2024). Recent advancements of human-centered design in building engineering: A comprehensive review. Journal of Building Engineering, 108529.
13. O’Neill, J. L. (2021). Accessibility for all abilities: How universal design, universal design for learning, and inclusive design combat inaccessibility and ableism. J. Open Access L., 9, 1.
14. Furnell, S., Helkala, K., & Woods, N. (2022). Accessible authentication: Assessing the applicability for users with disabilities. Computers & Security, 113, 102561.
15. Klöpfer-Krämer, I., Brand, A., Wackerle, H., Müßig, J., Kröger, I., & Augat, P. (2020). Gait analysis–Available platforms for outcome assessment. Injury, 51, S90-S96.
16. S. Sudhakar and S. Chenthur Pandian, (2016), ‘Hybrid Cluster-based Geographical Routing Protocol to Mitigate Malicious Nodes in Mobile Ad Hoc Network, InderScience-International Journal of Ad Hoc and Ubiquitous Computing, vol. 21, no. 4, pp. 224-236. DOI:10.1504/IJAHUC.2016.076358.
17. Hafer, J. F., Vitali, R., Gurchiek, R., Curtze, C., Shull, P., & Cain, S. M. (2023). Challenges and advances in the use of wearable sensors for lower extremity biomechanics. Journal of biomechanics, 111714.
18. Kemp, C. C., Edsinger, A., Clever, H. M., & Matulevich, B. (2022, May). The design of stretch: A compact, lightweight mobile manipulator for indoor human environments. In 2022 International Conference on Robotics and Automation (ICRA) (pp. 3150-3157). IEEE.
19. Ons, B. D. (2023). Designing Street Furniture: Principles and Criteria to Provide Adequate Approaches to Enhance the Quality of Life in Urban Spaces.
20. Karanikas, N., & Pazell, S. (Eds.). (2022). Ergonomic insights: Successes and failures of work design. CRC Press.
21. Scorza, F., & Fortunato, G. (2021). Cyclable cities: building feasible scenario through urban space morphology assessment. Journal of urban planning and development, 147(4), 05021039.
22. Mariska Odendaal Physiotherapy. Available online: https://mariskaodendaal.co.za/ (accessed on 2 October 2024).
23. Integrated Health Sciences. Available online: https://www.ihealthsciences.com (accessed on 2 October 2024).
24. Geeky Medics. Available online: https://geekymedics.com (accessed on 2 October 2024).
25. Panero, Julius & Zelnik, Martin. (1979). Human dimension & interior space: a source book of design reference standards / by Julius Panero and Martin Zelnik. New York: Whitney Library of Design.
26. Vald Health. Available online: https://valdhealth.com/ (accessed on 2 October 2024).
27. Ergo-Plus. Available online: https://ergo-plus.com/ (accessed on 2 October 2024).
28. Know How. Available online: https://knowhow.distrelec.com/ (accessed on 2 October 2024).
29. S. Sudhakar and S. Chenthur Pandian, (2016), ‘Hybrid Cluster-based Geographical Routing Protocol to Mitigate Malicious Nodes in Mobile Ad Hoc Network, InderScience-International Journal of Ad Hoc and Ubiquitous Computing, vol. 21, no. 4, pp. 224-236. DOI:10.1504/IJAHUC.2016.076358.
30. Indumathi N et al., Impact of Fireworks Industry Safety Measures and Prevention Management System on Human Error Mitigation Using a Machine Learning Approach, Sensors, 2023, 23 (9), 4365; DOI:10.3390/s23094365.
31. Parkavi K et al., Effective Scheduling of Multi-Load Automated Guided Vehicle in Spinning Mill: A Case Study, IEEE Access, 2023, DOI:10.1109/ACCESS.2023.3236843.
32. Ran Q et al., English language teaching based on big data analytics in augmentative and alternative communication system, Springer-International Journal of Speech Technology, 2022, DOI:10.1007/s10772-022-09960-1.
33. Ngangbam PS et al., Investigation on characteristics of Monte Carlo model of single electron transistor using Orthodox Theory, Elsevier, Sustainable Energy Technologies and Assessments, Vol. 48, 2021, 101601, DOI:10.1016/j.seta.2021.101601.
34. Huidan Huang et al., Emotional intelligence for board capital on technological innovation performance of high-tech enterprises, Elsevier, Aggression and Violent Behavior, 2021, 101633, DOI:10.1016/j.avb.2021.101633.
35. Sudhakar S, et al., Cost-effective and efficient 3D human model creation and re-identification application for human digital twins, Multimedia Tools and Applications, 2021. DOI:10.1007/s11042-021-10842-y.
36. Prabhakaran N et al., Novel Collision Detection and Avoidance System for Mid-vehicle Using Offset-Based Curvilinear Motion. Wireless Personal Communication, 2021. DOI:10.1007/s11277-021-08333-2.
37. Balajee A et al., Modeling and multi-class classification of vibroarthographic signals via time domain curvilinear divergence random forest, J Ambient Intell Human Comput, 2021, DOI:10.1007/s12652-020-02869-0.
38. Omnia SN et al., An educational tool for enhanced mobile e-Learning for technical higher education using mobile devices for augmented reality, Microprocessors and Microsystems, 83, 2021, 104030, DOI:10.1016/j.micpro.2021.104030 .
39. Firas TA et al., Strategizing Low-Carbon Urban Planning through Environmental Impact Assessment by Artificial Intelligence-Driven Carbon Foot Print Forecasting, Journal of Machine and Computing, 4(4), 2024, doi: 10.53759/7669/jmc202404105.
40. Shaymaa HN, et al., Genetic Algorithms for Optimized Selection of Biodegradable Polymers in Sustainable Manufacturing Processes, Journal of Machine and Computing, 4(3), 563-574, https://doi.org/10.53759/7669/jmc202404054.
41. Hayder MAG et al., An open-source MP + CNN + BiLSTM model-based hybrid model for recognizing sign language on smartphones. Int J Syst Assur Eng Manag (2024). https://doi.org/10.1007/s13198-024-02376-x
42. Bhavana Raj K et al., Equipment Planning for an Automated Production Line Using a Cloud System, Innovations in Computer Science and Engineering. ICICSE 2022. Lecture Notes in Networks and Systems, 565, 707–717, Springer, Singapore. DOI:10.1007/978-981-19-7455-7_57.
Copyright (c) 2024 Ni Yin, Bin Zhang
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright on all articles published in this journal is retained by the author(s), while the author(s) grant the publisher as the original publisher to publish the article.
Articles published in this journal are licensed under a Creative Commons Attribution 4.0 International, which means they can be shared, adapted and distributed provided that the original published version is cited.