What are Human-Machine Systems (HMS)?

Believe it or not, we're not breaking new ground talking about Human-Machine Systems (HMS).

It all technically started during the Industrial Revolution. People began to build tools that changed the interaction between humans and machines.

Yet, the most major turning point was in the 1940s, when they made the first computers and software applications.

Yes, when computers were as large as rooms or small houses!

It all became even more interesting when intelligent systems based on Machine Learning (ML) and Artificial Intelligence (AI) emerged.

Today, HMS has a major impact on Product Development, helping provide more value and better User Experiences  (UX).

Let's look closer at HMS and how they've influenced software products!

What is a Human Machine System?

To summarize, a HMS combines users' cognitive abilities machines' capabilities to work as a single entity.

The main goal is to improve productivity and performance to build better products that drive growth.

Besides simplifying the process of bringing great products to life faster, HMS also aims to eliminate human mistakes.

To err is human; unfortunately, errors can cost large business resources.

HMS can significantly minimize the number of mistakes we make.

The most common application fields include Fintech, Healthcare, Aerospace, Automation, Robotics, Transportation and Software Development. 

Design factors of an effective HMS involve human individual operator factors, like general emotional abilities, human behavior and cognitive abilities.

One of the most important aspects of an HMS is the platform, allowing seamless interactions.

That's why they often call these platforms Human-Machine Interfaces (HMI).

The last piece of the puzzle is what the machine aims to achieve.

How Do Human-Machine Systems Work?

The first step to understanding how Human Machine Interface Systems work is learning their components.

The simplest model of a HMS includes a user (or human operator agent), a machine and a system environment.

It also encloses inputs, outputs, interfaces, feedback and mechanisms.

The system normally receives inputs from the user and executes an action or output based on that input.

That creates a feedback loop, allowing users to adjust their inputs based on results.

Advanced systems may include some autonomy, enabling them to make decisions and act independently.

It's important to note that the user has complete control over the machine.

On the other hand, developing a Human-Machine Interface involves a deep understanding of User Experience (UX) design.

That often extends to human interaction, cognitive sciences, behavior, mental models, cognitive ergonomics and human systems.

developers can build stellar systems with intuitive User Interfaces (UI) to interact with machines.

examples of advances in sensing technology include keyboards, dashboard displays, touch screens and gesture-based interface machines.

Developing advanced systems requires high-level programming languages like Rust, Java, C#, and C/C++.

If the system requirements include AI or ML solutions, Python could also be a great choice. 

Main Types of Human Machine Systems

We'd get endless categories considering all the industries that benefit from HMS.

That's why we've only picked the main four categories or types. 

HMS Manual Systems

Think of Manual Systems as the simplest version of HMS that has been around the longest.

Here, the user performs most of the work with minimal assistance from the machine.

While the margin of error is larger, Manual Systems gives a high control over actual performance.

A practical example of IT in the IT industry would be manually tracking software licenses using physical documentation. 

HMS Mechanical Systems

Here, machines come much more into play in Mechanical Systems.

Yet, they still require some level of human intervention to work properly.

Mechanical Systems enhance human speed, strength or reasoning to help us complete concurrent tasks faster and more easily.

Think of cars, keyboards, printers, or other computing equipment, such as server racks or cooling systems. 

HMS Automated Systems

Automated Systems fall into the more modern category, aiming to minimize user input as much as possible.

When set up correctly, Automated Systems can normally work independently without supervision.

Automation implies a high investment cost at the beginning, but it largely increases efficiency and productivity.

A perfect example is Automated Teller Machines (ATMs) in banking or robots in manufacturing plants.

Automated Systems can automate complex tasks like monitoring, processing models, writing documentation and deployment in Software Development. 

HMS Cyber-Physical Systems

This is the most advanced type of system.

Cyber-physical systems bridge the gap between the digital and physical worlds, allowing for real-time monitoring and analysis.

For instance, these involve feedback loops where networks affect processes and vice versa.

These systems collect data from the "real world" and computational algorithms to make decisions based on that data.

The best example is IoT devices, including Smart Cities, navigational systems and advanced driver assistance systems.

Why are Human-Machine Systems Important?

Almost every sector has used HMS to increase productivity, efficiency and organizational interactions.

Systems that allow users to leverage the power of machines help avoid repetitive tasks.

As a result, users have more time to focus on decision-making and creative problem-solving.

The synergy and collaboration of users and machines have constantly redefined the boundaries of what we can achieve!

We owe systems the most of the digital tools we take for granted. Devices that allow us to live way more comfortably and, in some cases, even save lives.

That's how important Human-Machine Systems and Machine System Modeling are for us. 

Conclusion

Human-machine models play a major role in Software Reliability models, Zero-Parameter models, and the Engineering Design process.

That involves UI/UX Design, Front and Back End Development, DevOps and Product Management.

Digital products, physical equipment and companion technologies built with Human-Machine Systems help us provide better quality products! 

They're also key in reducing the likelihood of errors in complex environments. 

They allow developers and digital agencies to promote adaptive performance with more value!

At Capicua, we cannnot wait to see what HMS will bring us next!