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Intelligent environment

Intelligent environment is a 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 Intelligent environment rather than just read about it. In short: Intelligent Environments (IE) are spaces with embedded systems and information and communication technologies creating interactive spaces that bring computation into the physical world and enhance occupants experiences. "Intelligent environments are spaces in which computation is seamlessly used to enhance ordinary activity. One of the driving forces behind the emerging interest in highly interactive environments is…

Intelligent environment — main illustration
Intelligent environment — illustration

Key takeaways

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

Reference excerpt

Intelligent Environments (IE) are spaces with embedded systems and information and communication technologies creating interactive spaces that bring computation into the physical world and enhance occupants experiences. "Intelligent environments are spaces in which computation is seamlessly used to enhance ordinary activity. One of the driving forces behind the emerging interest in highly interactive environments is to make computers not only genuine user-friendly but also essentially invisible to the user". IEs describe physical environments in which information and communication technologies and sensor systems disappear as they become embedded into physical objects, infrastructures, and the surroundings in which we live, travel and work. The goal here is to allow computers to take part in activities never previously involved and allow people to interact with computers via gesture, voice, movement, and context.

Origins

The idea of having an artificial intelligence capable of managing an environment, recollect data, and respond in consequence is older than we would expect. In the novel 2001: A Space Odyssey from 1968, long before the microcomputers revolution, you have the fictional character HAL 9000, a computer capable of controlling the different sensors and systems of the environment and using them as extensions of itself. The character Proteus from the 1973 novel Demon Seed also portrays the same characteristics of an artificial intelligence controlling an embedded environment. By the time these two novels were released, the idea of a computer controlling the environment that surrounds us was not broadly accepted by the community since both characters played the role of evil machines whose only objectives included the control over humans. The term 'Intelligent environments' is a concept and expression originally created by Peter Droege for his homonymous Elsevier publication of 1997, a project that commenced in 1986. The 1986 project was his winning entry into the Campus City Kawasaki competition in Japan, seeking to apply the benefits of information technology and advanced telecommunications to an entire city, its societal empowerment, trans-industrial prosperity and, above all, its environmental redemption. It is not until 1991 with the introduction of ubiquitous computing by Mark Weiser when we start seeing an inclination from the scientific community to study the area of computing outside of the typical machine with a keyboard and a screen. It became something that could be potentially implemented into anything that surrounds us, proposing casual access to computing to any user. In 1996 Hashimoto Laboratory at the University of Tokyo developed the first research on intelligent spaces. J.-H. Lee and H. Hashimoto designed a room with a homemade three-dimensional tracking sensor and mobile robots, all this connected to a network. The idea was for the robots to support the person in the room with different tasks with the help of vision cameras and computer sets, becoming one of the first intelligent environment. At first, intelligent spaces were designed with the only objective to help people with physical tasks. Robots included in the room would help people to grab objects as well as support people with disabilities to do certain jobs. This idea started shifting into the concept we have today of intelligent environments, not only an environment to support people but also robots. The intelligent space became a platform that extends the censorial capacity of anything connected to it. If we start designing products, either software or hardware around this intelligent environments, the effort needed to complete all kinds of tasks would be drastically reduced.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Intelligent environment

Start with the simplest possible case. Write down what Intelligent environment claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In 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 Intelligent environment 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 Intelligent environment 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 Intelligent environment

In research
Intelligent environment appears in 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 Intelligent environment 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
Intelligent environment is common in secondary-school and first-year university syllabi. It links to neighbouring topics Internet of things, so understanding it makes those chapters shorter.
In everyday life
Look for Intelligent environment 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 Intelligent environment in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Intelligent environment 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 Intelligent environment out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Intelligent environment in simple terms?

Intelligent Environments (IE) are spaces with embedded systems and information and communication technologies creating interactive spaces that bring computation into the physical world and enhance occupants experiences. "Intelligent environments are spaces in which computation is seamlessly used to…

Why does Intelligent environment matter?

Because it connects several 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 Intelligent environment?

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 Intelligent environment.

Tags

  • Internet of things

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