Stop Allocating, Start Coordinating: Graph-Based Functional Modeling of Human-Machine Architectures

To achieve graceful extensibility, system architectures must support human-machine coordination. This paper operationalizes a coordination-first design approach through the Joint Strategies Analysis Toolkit (JSAT), a graph-based functional modeling framework. To overcome the challenges associated with the “envisioning stage” of designing new machine capabilities, JSAT employs a recursive bootstrapping methodology that uses functional models to develop hypotheses about how humans and machines could coordinate. Using a disaster response scenario, we demonstrate how JSAT maps core operational functions alongside the coordination required to support system extensibility. By analyzing the resulting directed graphs with structural metrics like feedback cycles and shared authority, JSAT equips designers to generate hypotheses regarding potential coordination bottlenecks, anticipate authority-responsibility mismatches, explore design trade-offs, and ultimately develop well-integrated human-machine systems.

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Publication Details

Journal
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Published
2026-10-29
DOI
https://doi.org/10.1177/10711813261498774
Primary Topic
Systems Engineering Methodologies and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Stop Allocating, Start Coordinating: Graph-Based Functional Modeling of Human-Machine Architectures

Martijn IJtsma, Salvatore Hargis
1 links
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Systems Engineering Methodologies and Applications
article

Stop Allocating, Start Coordinating: Graph-Based Functional Modeling of Human-Machine Architectures

Martijn IJtsma, Salvatore Hargis
article en

Abstract

To achieve graceful extensibility, system architectures must support human-machine coordination. This paper operationalizes a coordination-first design approach through the Joint Strategies Analysis Toolkit (JSAT), a graph-based functional modeling framework. To overcome the challenges associated with the “envisioning stage” of designing new machine capabilities, JSAT employs a recursive bootstrapping methodology that uses functional models to develop hypotheses about how humans and machines could coordinate. Using a disaster response scenario, we demonstrate how JSAT maps core operational functions alongside the coordination required to support system extensibility. By analyzing the resulting directed graphs with structural metrics like feedback cycles and shared authority, JSAT equips designers to generate hypotheses regarding potential coordination bottlenecks, anticipate authority-responsibility mismatches, explore design trade-offs, and ultimately develop well-integrated human-machine systems.

Proceedings of the Human Factors and Ergonomics Society Annual Meeting
The Ohio State University (US)
Division of Information and Intelligent Systems
Openalex Percentile: Top 18%
Systems Engineering Methodologies and Applications
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