A Structured Framework for Human-Centric Metrics in Digital Engineering
Developing a standardized taxonomy for human-centric metrics is crucial for effectively integrating human factors into digital engineering models and ensuring sociotechnical systems meet stakeholder requirements.
Systems Engineering · 2023
Key Findings
- 01A taxonomy of human-centered metrics can be structured into four categories: system performance, system readiness, interface fitness, and occupational health and safety.
- 02Human factors metrics such as workload and situation awareness significantly influence these broader system metrics.
- 03A standardized nomenclature aids in the consistent representation and evaluation of human factors within digital engineering frameworks.
Application
Design takeaway
Integrate a structured approach to defining and measuring human-centric metrics within digital engineering processes to ensure systems are designed for optimal human-system interaction and overall effectiveness.
How to apply
When developing digital models or conducting trade studies for complex systems, use the proposed four-category framework to identify and quantify relevant human-centric metrics.
Project actions
- 01When defining the scope of your design project, consider how human interaction will be measured.
- 02Use the proposed categories to guide your selection of relevant user data or performance indicators.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Provides a clear, structured approach to a complex problem.
- +Addresses a critical gap in standardizing human factors measurement in digital engineering.
Limitations
The proposed taxonomy might not cover all niche human factors relevant to highly specialized engineering fields without adaptation.
Reliability & validity
The reliability of the taxonomy would depend on consistent application of its categories by different researchers. Validity would be assessed by how well the metrics derived from the taxonomy predict actual system performance and user satisfaction.
Think critically
How might the subjective nature of certain human factors (e.g., 'pleasure in design') be objectively measured and integrated into this taxonomy?
Design Principles
"Systematic human factors integration requires a defined set of measurable criteria across performance, readiness, interface, and safety domains."
By categorizing human-related metrics across system performance, readiness, interface fitness, and occupational health, designers and engineers can systematically evaluate the human element's impact. This structured approach facilitates better decision-making in trade studies and the development of more robust and user-aligned systems.
What This Means for Your Design
It's important to have a clear way to measure how people affect a system's performance, readiness, how easy it is to use, and their safety. This research provides a structured list of these measurements for use in digital design tools.
How to use in your project
- 1.Reference this taxonomy when justifying the selection of specific user-related metrics or when discussing the human-system interaction aspects of your design.
Add to My Project
Quick Cite
(2023). A taxonomy of metrics for human representations in digital engineering. Systems Engineering. https://doi.org/10.1002/sys.21722 Retrieved from https://designdex.org/study/88ecfe37-f98e-4baa-813a-acd94d05d82f/a-structured-framework-for-human-centric-metrics-in-digital-engineering
Paragraph starter
The research by Miller and Spatz (2023) introduces a valuable taxonomy for human-centric metrics in digital engineering, categorizing them into system performance, system readiness, interface fitness, and occupational health and safety. This framework is essential for ensuring that sociotechnical systems are designed to meet stakeholder requirements by systematically addressing the human element's impact.
Source
Systems Engineering
A taxonomy of metrics for human representations in digital engineering
journal · 2023
View sourceQuestions about this research
- What does the research say about a structured framework for human-centric metrics in digital engineering?
- Integrate a structured approach to defining and measuring human-centric metrics within digital engineering processes to ensure systems are designed for optimal human-system interaction and overall effectiveness. Evidence: Systems Engineering (2023).
- Why does "A Structured Framework for Human-Centric Metrics in Digital Engineering" matter for design?
- By categorizing human-related metrics across system performance, readiness, interface fitness, and occupational health, designers and engineers can systematically evaluate the human element's impact. This structured approach facilitates better decision-making in trade studies and the development of more robust and user-aligned systems.
- How can designers apply this research?
- Integrate a structured approach to defining and measuring human-centric metrics within digital engineering processes to ensure systems are designed for optimal human-system interaction and overall effectiveness.
- What were the main findings?
- A taxonomy of human-centered metrics can be structured into four categories: system performance, system readiness, interface fitness, and occupational health and safety.. Human factors metrics such as workload and situation awareness significantly influence these broader system metrics.. A standardized nomenclature aids in the consistent representation and evaluation of human factors within digital engineering frameworks.
- What research method was used?
- Taxonomic development and classification.
- How strong is the evidence?
- Evidence strength is rated Moderate effect, based on a 2023 journal from Systems Engineering.
- What should I do differently in my next project?
- When developing digital models or conducting trade studies for complex systems, use the proposed four-category framework to identify and quantify relevant human-centric metrics.
- What are the limitations?
- The taxonomy's practical application and validation across diverse engineering domains require further empirical study.
- Is there evidence that digital engineering affects design outcomes?
- A new system for classifying metrics related to humans in digital engineering has been created, covering how humans affect system performance, readiness, interface usability, and safety, and recognizing that mental and physical states like workload are key influencers. By categorizing human-related metrics across syste Source: Systems Engineering (2023).
- Where does this metrics research apply?
- Digital engineering, systems engineering, sociotechnical systems It sits within human factors research on designdex.org.
Related research topics
digital engineering design research · evidence on digital engineering · does digital engineering improve design outcomes · metrics studies for designers · digital engineering and metrics findings · human factors research evidence