评估员工对办公空间设计满意度的方法和方法:系统审查
María Victoria Dávalos Quevedo1, Alessandra Luna-Navarro1, Uta Pottgiesser1
1Department of Architectural Engineering and Technology, Faculty of Architecture and the Built Environment, Delft University of Technology, Delft, Netherlands.
Ergonomics
|March 24, 2025
概括
在办公室设计中评估员工满意度是提高生产率的关键. 本综述强调了当前的方法,局限性,以及对数据驱动反的趋势,以改善工作场所体验.
科学领域:
- 建筑学 建筑学 建筑学 建筑学
- 环境心理学 环境心理学
- 设施管理设施管理
背景情况:
- 员工满意度显著影响工作场所的生产力和工作体验.
- 评估乘客满意度对于有效的办公空间设计至关重要.
- 当前的评估方法往往缺乏对环境和空间因素的全面整合.
研究的目的:
- 系统地审查评估办公空间使用者满意度的方法.
- 确定关键的评估工具,研究趋势和当前评估方法的局限性.
- 探索环境,空间和设计因素在用户体验评估中的整合.
主要方法:
- 对办公空间使用者的满意度研究的系统文献综述.
- 对方法,评估工具和研究趋势的分析.
- 检查环境,空间和设计因素的整合.
主要成果:
- 确定了关键的评估工具和占据者满意度评估的主要研究趋势.
- 突出了当前工具的局限性,特别是缺乏标准化的反框架.
- 观察到数据驱动,实时反机制的趋势,以提高工作场所的适应性.
结论:
- 现有的办公空间占用者满意度评估工具需要改进.
- 需要标准化框架,在整个设计过程中捕捉乘客反.
- 整合以居住者为中心的策略和数据驱动的方法对于未来的办公空间规划至关重要.
更多相关视频
相关概念视频
02:16Surveys
14.7K
Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
14.7K
01:15Nursing Evaluation
3.2K
The evaluation stage signals the end of the nursing process. The nurse gathers evaluative data to assess whether or not the patient has attained the expected results. Whereas the nurse collects data in the nursing assessment to identify the patient's health concerns, the evaluation stage data determines if the indicated health issues are resolved. Evaluative data collection includes two sections: the data acquired to evaluate patient outcomes and the time criteria for data collection.
3.2K
01:16Response Surface Methodology
78
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
The process of RSM involves several key steps:
78
02:01Factorial Design
12.8K
Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
12.8K