what term refers to the degree to which an activity requires attention

If you are a computer user or have an interest in a computer, you might have heard the term “attention.” This refers to the level of focus that an activity requires. The more attention that a task requires, the more difficult it is to perform. Therefore, if you are going to be involved in any sort of project, make sure that you give your full attention to the task at hand.


Retrieval refers to the process by which we retrieve stored information from memory. Retrieval is an essential cognitive process, similar to how we retrieve data from our computer’s hard drive. However, unlike our hard drives, retrieval requires a great deal of attention and the encoding of information is usually not automatic.

The process by which we retrieve stored information is a complex task, but research has identified a few key factors that can help explain this. One example is the fact that people are more likely to monitor an important task when they are actively engaged in it. This isn’t surprising since an ongoing task will tend to encourage processing of relevant features of prospective memory cues. In addition, when the task is arousing, such as when it is a task we are asked to perform often, we are more likely to pay attention. It’s also worth noting that the performance of a prospective memory task is reduced significantly when the monitoring function is removed.

Although the simplest account of the memory retrieval process argues that the process is a matter of tracing the path from the original information storage to the intended retrieval, other accounts suggest that the process can be quite different. A multi-store model of memory suggests that both sensory and semantic memory are active. Sensory memory contains information such as the duration of the memory event, while semantic memory consists of the ability to understand and recall the information.

The retrieval process is an interactive one, with the most relevant features of the to-be-remembered item determining whether or not the memory is actually retrieved. As such, the most efficient processes can vary from one person to the next, although there are some general guidelines for optimal performance. For instance, the best results are obtained when the to-be-remembered items are arranged in a chronological order. There are also some important limitations in this model, namely, that if the information is not well encoded or well represented, then locating the information may be difficult. Furthermore, a retrieved memory is unlikely to be accurate, as it may contain irrelevant information.

In summary, memory retrieval is a complex process involving a host of specialized and related processes. Unlike many other cognitive functions, it is not a single unified structure. Rather, it is composed of a series of interrelated processes that operate at different levels of the central nervous system. Most of these processes require relatively little attention, but others – such as the encoding of information – are highly structured and regulated.

Despite its limitations, the multi-store model of memory provides a helpful overview of the many memory processes that can be grouped under the umbrella of encoding and storage. Moreover, it is an informative and useful model that sheds light on many of the most common memory phenomena.


Business process automation (BPA) is a way of reducing the amount of human input required to complete a business task. It is a method of using advanced technology to streamline processes and allow an organization to adapt to change. BPA can be embedded in a variety of applications, from HR to marketing to supply chain. While the benefits of BPA are clear, it is important to understand how to choose the right level of automation. In addition, companies need to establish a framework for automation.

There are three main levels of automation. Basic automation uses a system that programs the computer to perform repetitive tasks. However, automation can be more complex, involving the use of machine learning. Machine learning is a type of artificial intelligence that uses data and analytics to help a system learn and perform better. These automated processes are useful for situations where a person lacks the time or mental capacity to complete a task.

A higher level of automation, known as a glass cockpit, can give an operator the ability to level off at a specified altitude. The operator is then relegated to monitoring the systems, instead of being a pilot. This can lead to problems because operators might have no idea of the system’s capabilities. As a result, pilots must ensure that they are operating the aircraft at the appropriate level of automation. For example, a pilot may need to level off at a lower altitude when flying in an area with visual flight rules traffic. But if the airplane is not equipped with a glass cockpit, the pilot has to be careful.

Another form of automation is called no-code workflow. This type of system uses process capture to map the different steps in a process. When an employee is onboarding, for example, the system could trigger predefined workflow steps. Those steps might include security credentials, a welcome email, and financial details in a compensation system. The goal is to automate as much of the workflow as possible, so that a new employee can get up and running quickly. If the workflow is too complex, the company might not get a return on its investment.

Another type of automated process is the automatic mental process. This is a type of automation that involves the use of machine learning to analyze and respond to human behaviors. Unlike the basic automated process, this type of process requires low cognitive load and can help you detect threats. Automatic mental processes can also be used to perform many other tasks. They can be particularly helpful in addressing compliance requirements.

Process intelligence is a new term that describes the use of process capture and analytics to manage business processes. Typically, process intelligence is used to monitor an enterprise’s system logs and map out variations in a business process. An example of process intelligence could be using machine vision to watch an employee’s screen and recognize certain gestures. Using this information, the system could be programmed to automate a purchase order.

Chelsea Glover