Research on the Design of General Hospital-signage system from the Perspective of Aging
- DOI
- 10.2991/978-94-6463-102-9_34How to use a DOI?
- Keywords
- Signage system; General design; The aged
- Abstract
With the development of social economy and the change of population composition in China, vulnerable groups such as the elderly will occupy a certain proportion of the social population in the future. However, at present, their needs are often ignored in the design of domestic hospital-signage system, and how to solve their special needs in medical space is the focus and difficulty of this study. Based on the aging background, this paper analyzes a series of pathfinding problems caused by the neglect of the elderly in the design of the existing hospital-signage system. Combined with the physiological and psychological characteristics of the elderly, this paper puts forward a specific design method to improve the recognition efficiency of the signage system, hoping to help the elderly quickly adapt to the space environment and promote the design and research of the signage system to a more humane point of view.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Danya Zhu AU - Min Li AU - Yun Chen AU - Lei Wei PY - 2022 DA - 2022/12/29 TI - Research on the Design of General Hospital-signage system from the Perspective of Aging BT - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022) PB - Atlantis Press SP - 313 EP - 318 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-102-9_34 DO - 10.2991/978-94-6463-102-9_34 ID - Zhu2022 ER -