Thursday, April 18, 2019
Human Computer Interaction Essay Example | Topics and Well Written Essays - 750 words - 1
Human Computer Interaction - Essay ExampleHCI has evolved as a concept that facilitates taking into consideration the different needs of the users. The users dejection effectively interact with the computing device systems through a platform that is known to be HCI. However the importance of HCI is widespread and encompasses wide run of elements. The first improvement of the concept is that it helps to gain market sh atomic number 18. In general context individuals always favor to use only those items that have higher usability. For instance it can be supported by an vitrine of Google, this search engine is world famous and has largest market share across the globe (Deustsch, 2013).The reason goat this is the search engine has higher efficiency and can be easily used by individuals. HCI is redden important as it helps to improve productivity. For instance such an interaction helps employees working in a flying to perform better and faster. The Intranet facilities help in incr easing the overall efficiency of employees (Pulz, 2013).The importance of HCI can in like manner be witnessed in the form of lowering support be. If a product cannot be used in good order then enormous calls are made by customers to customer service department. However the higher usability regularize due to HCI helps in reducing these forms of cost that is associated with support services. HCI even helps in reducing the development costs as it avoid such features that are complex and cannot be used easily by the users. diction recognition is considered to be an effective tool for HCI or Human Computer Interaction. Speech recognition is one and only(a) of the fields of computer science that is associated with designing such a structure which helps in recognizing words that are spoken. It is such an application that enables a computer to clearly identify those words that are spoken by a person either through a telephone or microphone (Brodkin, 2012).Speech recognition can also be classified as a process that converts acoustic signal coming from a telephone or microphone to a group of
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