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Human–machine system

Human–machine system is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Human–machine system rather than just read about it. In short: Human–machine system is a system in which the functions of a human operator (or a group of operators) and a machine are integrated. This term can also be used to emphasize the view of such a system as a single entity that interacts with external environment.

Key takeaways

  • Human–machine system belongs to computer science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Human–machine system to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Human–machine system from memory before moving on to harder problems.

Reference excerpt

Human–machine system is a system in which the functions of a human operator (or a group of operators) and a machine are integrated. This term can also be used to emphasize the view of such a system as a single entity that interacts with external environment. A manual system consists of hand tools and other aids which are coupled by a human operator who controls the operation. Operators of such systems use their own physical energy as the power source. The system could range from a person with a hammer to a person with a super-strength giving exoskeleton. Human machine system engineering is different from the more general and well known fields like human–computer interaction and sociotechnical engineering in that it focuses on complex, dynamic control systems that often are partially automated (such as flying an airplane). It also studies human problem-solving in naturalistic settings or in high-fidelity simulation environments.

Human–machine choreography The area of human–machine choreography is yet to be extensively explored. How body-structure can be extended through machine mechanisms points to how the body can perform beyond its biological form and functions as well as beyond the local space it inhabits. How human movement is transduced into machine motion and then can be both expressed and extended into virtual performance on the web promises new possibilities in both conceptual approach and aesthetic application. For example, incorporating virtual camera views of the performing human–machine system enriches the choreography and intensifies the artistic result.

The Muscle Machine The Muscle Machine is a hybrid human–robot walking machine. Designed by artist Stelarc (who has also created other such systems), it is an exoskeleton with six robotic legs that are controlled by the leg and hand movements of its pilot.

Mechanism The rubber muscles contract when inflated and extend when exhausted. This results in a more reliable and robust engineering design. The body stands on the ground within the chassis of the machine, which incorporates a lower body exoskeleton connecting it to the robot. Encoders on the hip joints provides the data that will allow the human controller to move and direct the machine as well as vary the speed at which it will travel. The action of the human operator lifting a leg lifts the three alternate machine legs and swings them forward. By turning its torso, the body makes the machine walk in the direction it is facing. Thus the interface and interaction is more direct, allowing an intuitive human-machine choreography. The walking system, with attached accelerometer sensors generates data that is converted to sounds that augment the acoustical pneumatics and machine mechanism operation. Once the machine is in motion, it is no longer applicable to ask whether the human or machine is in control as they become fully integrated and move as one. The six-legged robot both extends the body and transforms its bipedal gait into a 6-legged insect-like movement. The appearance and movement of the machine legs are both limb-like and wing-like motion.

In popular culture Human–machine systems have been portrayed in the media on many accounts. Cyborgs, seen in movies such as The Terminator and RoboCop, are fantastical depictions of what human-machine systems may, one day, look like.

See also Ergonomics Human–computer interaction Human–machine interface

References

External links Technical Committee on Human-Machine Systems of the International Federation of Automatic Control (IFAC) Center of Human-Machine-Systems, Technische Universität Berlin Locomotor: A Hybrid Human-Machine System

Worked examples

Example 1 — a first encounter with Human–machine system

Start with the simplest possible case. Write down what Human–machine system claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Human–machine system before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Human–machine system ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Human–machine system

In research
Human–machine system appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Human–machine system in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Human–machine system is common in secondary-school and first-year university syllabi. It links to neighbouring topics Ergonomics, Human communication, Human–computer interaction, so understanding it makes those chapters shorter.
In everyday life
Look for Human–machine system outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Human–machine system in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Human–machine system means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Human–machine system out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Human–machine system in simple terms?

Human–machine system is a system in which the functions of a human operator (or a group of operators) and a machine are integrated. This term can also be used to emphasize the view of such a system as a single entity that interacts with external environment.

Why does Human–machine system matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Human–machine system?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Human–machine system.

Tags

  • Ergonomics
  • Human communication
  • Human–computer interaction

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