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Intelligent Environments

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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

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Conceptual figure of Intelligent Space (by J.-H. Lee and H. Hashimoto)

The idea of having an artificial intelligence capable of managing and environment, recollect data, and respond in consequence is older that 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 character played the role of evil machines whose only objectives included the control over humans.[1]

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 but as something that could be implemented into anything that surround us, proposing a casual access to computing to any type of 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.[1]

At first, intelligent spaces were designed with the only objectives 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 tasks. This idea started shifting into the idea 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.[1]

Challenges

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Practical implementation of intelligent environments implies the solution of many challenges. Pervasive computing systems embedded in IE need to be proactive, and to accomplish this it is crucial that systems can track and determine the users' intent. The challenge here is finding that action that supposedly will help the user rather than hinder him. As of right now, algorithms behind the intelligent environments are constantly being reworked by the simple method of trial and error in artificial environments. It is not until a programmer can see an accurate enough level of prediction for the product to become commercialized. The level of accuracy of intelligent environments depend on the task they want to accomplish. Some simple actions that do not greatly affect the user can admit more failures in the predictions than other tasks that hold more responsibility. Still there are always actions that cannot be fully predicted by the IE and needs some sort of input from the user to be completed. One of the greatest challenge as of right now is determining which are those actions that are required for a user input and how to create algorithms capable of eliminating that input so that the usability of the systems improves. [2]

By the other hand, pro-activity of such environments has to be handled very carefully. Pervasive computing systems are supposed to be minimally intrusive and at the same time be capable of taking decisions that will help users. One way to achieve that is making those systems capable of modifying their behavior based on the user's state and surroundings. Here again, some challenges arise: What are the required data and information that a system needs to be context-aware? How frequently should that information be measured and consulted without hurting system performance?The goal is to create an IE capable of reacting fast and accurate to the needs and inputs of the user so it would be unnecessary for the sensors to record information that will not help the algorithms make the correct action to what is happening. Recognizing important data and filtering the environment to search for the appropriate place to obtain it results in a great challenge.[2]

It is crucial for pervasive computing systems to find the right level of pro-activity and transparency without annoying the user. Systems can infer the user's needs for pro-activity based on his level of expertise on a particular task. Self-tuning can be crucial for accomplishing this goal.

As the Intelligent Environments Conference (2007) points out: "Types of Intelligent Environments range from private to public and from fixed to mobile; some are ephemeral while others are permanent; some change type during their life span. The realization of Intelligent Environments requires the convergence of different disciplines: Information and Computer Science, Architecture, Material Engineering, Artificial Intelligence, Sociology and Design. In addition, technical breakthroughs are required in key enabling technology fields, such as, microelectronics (e.g., miniaturization, power consumption), communication and networking technologies (e.g., broadband and wireless networks), smart materials (e.g., bio-implants) and intelligent agents (e.g., context awareness)". The correct integration of all of these components is crucial to developing an effective IE.

Applications

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Business

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One of the main areas that will experience a significant impact with the emergence of IE is business relations. The way companies interact with each other and with people will suffer the most significant impact. Their relationships will become more dynamic and should emphasize a more flexible approach to businesses, trying to adapt to the continually changing commercial environment. Such flexibility should be reflected also on their employees and their work environment. Even today, companies that have shown great levels of flexibility on their working environments and with their employees (as at Microsoft or Google), have increasing levels of productivity and employees retention.[3]

Another important issue that companies must take into account in the IE era is the way they approach the privacy of their clients. The success of these future companies will depend greatly on how people feel more confident in the use they give to their personal information. Another important key to the success of these future businesses will be to allow the end user to have control over the way in which the IE systems make the decisions. Friendly user configurations should allow them to be in control of these systems but at the time is one of the biggest challenges for systems engineers.

Leisure Activities

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New ways of entertainment have emerged since the creation of IE. There has been several experiments in museums where this technology is used to create a more interactive experience that makes the visitors not only experience history with their eyes but also feel in all of their senses. From the use of sounds and lights that adapt according to the expositions presented to the incorporation of smells that define a characteristic environments, there are endless opportunities to the application of IE into this sort of entertainment.[4]

The same concept can be used to not only improve existent leisure experiences but also to create new ones. Artistic expression has had a great influence on this since we have seen new forms of art using Artificial Intelligence and IE. Take for example the work of the artist Chris Milk where you can see the implementation of immersive installations that makes the user not only appreciate a work of art but also be part of it. One of his most important work of arts, "The Treachery of Sanctuary" uses projections of the users' bodies in different screens to explore the creative process by using generated digital birds. These type of art requires of the user's interaction to exist.[5][4]

Health Care

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One of the most important applications of Intelligent Environments is in the Healthcare Industry. You can use IE in the hospital's rooms to monitor the state of the patients without the patient even noticing, which results in less disturbance to those patients who needs great amounts of rest and less efforts for nurses that are no longer required to constantly check on patients. This could greatly change the way in which hospitals and clinics are designed since nurses can be more efficient with their time attending patients in critical needs without leaving other patients under the care of intelligent rooms. This special installations will no longer monitor the patient's health and notify the nurses but it could also be programmed to interact with them with preventative purposes by administering certain drugs or simply delivering food when needed.[4]

Caring of frail, elderly patients could dramatically change in the future with the use of IE. By introducing this technology into their own homes, we will be able to monitor a patient from anywhere we are without having the need to transporting them to hospitals or clinics to have a proper care. This could transform nearly any house into an intelligent nursing home care, allowing families to save lots of money by dramatically reducing the cost of care.[4]

Emergency Response

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Preventing is the best way to fighting a possible problem and there is no better way to do so that gathering information prior to a problematic event that help us know when it would happen. IE would provide the perfect way to gather the date necessary to predict hazards and possible problems in the future. If we implement IE in our houses it could notify, for example, the fire department if a fire is about to happen without us even noticing, or the police department if suspicious activity is detected in the proximity of our homes. In the best scenario the event would not even happen since the IE will help us create a diagnosis of the environment where it is implemented so that we could attack possible issues long before it happen. This will substantially improve live conditions in the cities and a substantial economic impact since less hazardous event would happen, preventing material loss.[4]

Environmental Monitoring

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Intelligent Environments will help us monitor different natural environments at a much higher precision and granularity than the currently used techniques. By having an access to a richer and bigger data it will not only help us to control the environment for possible hazards but it will also change the way in which we understand it, making us improve the current theories and models of environmental processes. As of today, this technology is being used to study phenomena such as coastal erosion, flooding and the movement of glacial. We know very little about the why of many natural processes that are currently affecting us and having more accurate and precise data will greatly improve the way in which we attack those issues so that we not only make humans more environmentally friendly but also improve the health of our own planet.[4]

See also[edit]

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Notes[edit]

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  1. Jump up^
  2. Jump up^ Steventon, A., and Wright, S. (eds) (2006) Intelligent Spaces: The Application of Pervasive ICT, Springer-Verlag.
  3. Jump up^ http://www.intenv.org
  4. Jump up^ Intelligent Environments Conference (2007)
  5. Jump up^ Cohen, M. (1997) 'Towards interactive environments: The Intelligent Room', Proceedings of the 1997 Conference on Human Computer Interaction, Bristol, U.K.
  6. Jump up^ Komninos, N. (2002) Intelligent Cities: Innovation, knowledge systems and digital spaces, London and New York, Routledge.
  7. Jump up^ Intelligent Community Forum (2007)
  8. Jump up^ Bowen-James, A. (1997) 'Paradoxes and Parables of Intelligent Environments' in P. Droege (ed.) Intelligent Environments - Spatial Aspect of the Information Revolution, Oxford, Elsevier
  9. Jump up^ Novak, M. (1997) 'Cognitive Cities: Intelligence, Environment and Space' in P. Droege (ed.) Intelligent Environments - Spatial Aspect of the Information Revolution, Oxford, Elsevier

References

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  1. ^ a b c Lee, Joo-Ho; Hashimoto, Hideki (2002). "Intelligent Space — concept and contents". Advanced Robotics. 16 (3): 265–280. doi:10.1163/156855302760121936. ISSN 0169-1864.
  2. ^ a b Satyanarayanan, M. (2001). "Pervasive Computing: Vision and Challenges" (PDF). IEEE Personal Communications.
  3. ^ Steventon, Alan; Wright, Steve (2010-05-30). Intelligent Spaces: The Application of Pervasive ICT. Springer Science & Business Media. ISBN 9781846284298.
  4. ^ a b c d e f Wright, S; Steventon, A. "Intelligent Spaces — The Vision, the Opportunities and the Barriers" (PDF). BT Technology Journal. 22 (3). doi:10.1023/b:bttj.0000047116.13540.e0.pdf. ISSN 1358-3948.
  5. ^ "Art in the Age of AI: How Tech Is Redefining Our Creativity". Singularity Hub. 2017-02-06. Retrieved 2018-11-28.

External links[edit]

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  • 1st IET International Conference on Intelligent Environments, Colchester, 28-29 June 2005
  • 2nd IET International Conference on Intelligent Environments, Athens, 5-6 July 2006
  • 3rd IET International Conference on Intelligent Environments, Ulm, 24-25 September 2007
  • 4th IET International Conference on Intelligent Environments, Seattle, 21-22 June 2008
  • 5th IET International Conference on Intelligent Environments, Barcelona, 20-21 July 2009
  • 6th IET International Conference on Intelligent Environments, Malaysia, 19-21 July 2010
  • 7th IET International Conference on Intelligent Environments - iCampus, Notthingham, 25-28 July 2011
  • 8th IET International Conference on Intelligent Environments, Guanajuato, 26-29 June 2012
  • 9th IEEE International Conference on Intelligent Environments, Athens, July 2013
  • 10th IEEE International Conference on Intelligent Environments, Shanghai, June 2014
  • URENIO watch on intelligent cities, http://www.urenio.org

These are the links for some of the other references I want to use to improve the article:

https://link.springer.com/content/pdf/10.1023%2FB%3ABTTJ.0000047116.13540.e0.pdf

https://www.tandfonline.com/doi/pdf/10.1163/156855302760121936?needAccess=true

https://books.google.com/books?hl=en&lr=&id=WF3lFV6MQ_MC&oi=fnd&pg=PR3&dq=intelligent+spaces&ots=CO8icxL5OS&sig=hvYBPg_0G3_I7U3V-TCTmf6x36g#v=onepage&q=intelligent%20spaces&f=false