The term "perceptual computing" is new to IT and confusing. A typical definition of perceptual computing is a development in technology that makes it possible for computers to detect and respond to their surroundings more effectively.
The end-user interfaces that allow people to engage with computers could alter significantly due to perceptual computing.
Many companies developing perceptual computing technologies define it as a sensory environment for computers and an interface-changing phenomenon. Still, Wikipedia and other prominent websites describe it as the work of an Azerbaijani scientist named Zadeh, who developed linguistic interfaces using fuzzy sets.
Again, although this type of research could be defined as perceptual computing, sensory interfaces are more commonly used. According to experts, perceptual computing will soon replace our present workstations and peripherals, such as the mouse, keyboard, and laptop screen, with workstations that allow individuals to speak, gesture, and submit orders to the computer in a natural, sensory way.
With touch-screen gesture controls, mobile devices have already accomplished a portion of this. Experts foresee the elimination of new sensory commands on touchscreens. In other words, the computer would understand human motions as input commands.
It is only one example of how perceptual computing will alter our computer usage and liberate us from some physical components of our typical workstations.
Perceptual computer
A vocabulary must be sufficiently broad to enable the end-user to interact with the Per-C in a user-friendly way and is application (situation) dependent. The encoder converts words into fuzzy sets (FSs), which results in a codebook of words and the FS models that go with them.
The encoder's outputs activate a Computing With Words (CWW) engine, producing one or more FSs. The decoder then maps these FSs into a suggestion (subjective opinion) with supporting evidence. For example, the recommendation could be a word, phrase, rank, or classification.
Even though many details are needed to produce the three Per-C components—encoder, decoder, and CWW engine—described in, the technique is straightforward when the Per-C is applied to specific applications.
Conclusion
The Per-C perceptual computer possesses the architecture, an instance of perceptual computing. The encoder, CWW engine, and decoder are its three constituent parts. Therefore, a person can communicate with the Per-C using only vocabulary.
Per-C has been implemented thus far for the following four applications:
Investment decision-making
Social judgment-making,
Distributed decision-making, and
Hierarchical and distributed decision-making.
Furthermore, a specific example of the fourth use is the so-called Journal Publication Judgment Advisor, in which only words are employed at every level of a hierarchical and distributed decision-making process for the first time.
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