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Related Experiment Video

Updated: Sep 7, 2025

Quantifying Cytoskeleton Dynamics Using Differential Dynamic Microscopy

Quantifying Cytoskeleton Dynamics Using Differential Dynamic Microscopy

Published on: June 15, 2022

Analysing dynamic work systems using DynEAST: a demonstration of concept.

Matt Holman¹, Guy Walker¹, Terry Lansdown²

¹Energy, Geoscience, Infrastructure and Society, Heriot-Watt University, Edinburgh, UK.

|June 20, 2022

Summary

This study introduces DynEAST, a new method for analyzing dynamic work systems. DynEAST helps human factors and ergonomics practitioners understand complex sociotechnical systems and address current challenges.

Keywords:

Methods complexity dynamism situational awareness work as done

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Area of Science:

Human Factors and Ergonomics
Systems Engineering
Organizational Dynamics

Background:

Current Ergonomics methods struggle to capture the dynamism inherent in work systems.
This limitation hinders the understanding of work-as-done, distributed situational awareness, and organizational drift.
There is a need for advanced methods to model the dynamic features of complex sociotechnical systems.

Purpose of the Study:

To introduce and demonstrate DynEAST (dynamic event analysis of systemic teamwork), a novel framework extending the EAST framework.
To apply DynEAST principles, derived from Dynamic Network Analysis (DNA), to capture dynamism within work systems.
To illustrate the utility of DynEAST in enhancing the understanding of complex work phenomena for Ergonomics practitioners.

Main Methods:

The DynEAST concept, an extension of the EAST framework, is developed.
Principles from Dynamic Network Analysis (DNA) are integrated into the DynEAST framework.
A railway maintenance case study is used to demonstrate the application of the DynEAST concept.

Main Results:

The case study findings illustrate how DynEAST outputs can be effectively utilized.
DynEAST facilitates a deeper understanding of work-as-done, distributed situational awareness, and organizational drift.
The method provides insights applicable to current and future Ergonomics challenges.

Conclusions:

DynEAST offers a viable approach to model and analyze the dynamic features of complex work systems.
The method is particularly relevant given the increasing complexity of sociotechnical systems.
DynEAST equips Human Factors and Ergonomics (HF/E) practitioners with enhanced analytical capabilities for systemic dynamism.