Inanimate things are coming to our life. That is the simple objects that surround us are gaining sensors, computational powers, and actuators. Consequently, desks and doors, TVs and telephones, cars and trains, eyeglasses and shoes, and even the shirts on our backs are changing from static, inanimate objects into adaptive, reactive systems that can be more friendly, useful, and efficient. These new systems could be even more difficult to use than current systems. It depends how we design the interface between the world of humans and the world of this new generation of machines. To change inanimate objects into smart active helpmates they need perceptual intelligence.
The main problem with today?s systems is they are both deaf and blind. They mostly experience the world around them through a slow serial line to a keyboard and mouse. Even multimedia computers, which can handle signals like sound and image, do so only as a transport device that knows nothing Computers need to share our perceptual environment before they can be really helpful. They need to be situated in the same world that we are; they need to know much more than just the text of our words of the signals? content.
Here comes the importance of perceptual intelligence. If the systems have the ability to learn perception, they can act in a smart way. Perceptual intelligence is actually a learned skill.
Perceptual Intelligence is the knowledge and understanding that everything we experience (especially thoughts and feelings) are defined by our perception. Perceptual intelligence is paying attention to people and the surrounding situation in the same way another person would, thus allowing these new devices to learn to adapt their behaviour to suit us, rather than adapting to them as we do today.
In the language of cognitive science, perceptual intelligence is the ability to deal with the frame problem; it is the ability to classify the current situation, so that it is possible to know what variables are important and thus can take appropriate action. Once a computer has the perceptual ability to know who, what, when, where, and why, then the probabilistic rules derived by statistical learning methods are normally sufficient for the computer to determine a good course of action.
The key to perceptual intelligence is making machines aware of their environment, and in particular, sensitive to the people who interact with them. They should know who we are, see our expressions and gestures, and hear the tone and emphasis of our voice.
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