Input control includes the necessary measures to ensure that input data is correct,
complete, and secure (Rosenblatt & Shelly, 2012). It is ultimately important that during the user
interface design or input design stage to focus on input control, which will start with source
documents that will promote data accuracy and quality. Therefore, the main objective of input
design is that we ensure the quality, accuracy, completeness, and timeliness of input data
happens during its conversion from its original source into computer data or it is entered into a
computer application. Input controls could also be considered fail-safes, which ensure that data is
entered into the system ...view middle of the document...
For example, it the text box was designed or programmed to accept alphabetic letters and a
user inputs a number, this can result in a data integrity error.
Our next input control is the drop-down list box, which was mentioned previously. A
drop-down list box displays the current selection; when the user clicks the arrow, a list of the
available choices displays (Rosenblatt & Shelly, 2012). It is beneficial to use this type of control
when there are a specific number of choices for the user to select. A good example of a drop-
down list is when a user is filling out a form, and then they come to where they are asked the
question to which state is there current residency. As we know, there are fifty to choose from and
that these are the only options that can be selected to answer this question. In this example, if this
input control was not put in place, then many things could go wrong, such as they could enter a
multitude of data that does not belong in this block that does not have nothing to do with the
question being asked, resulting in data integrity error.
Using validation controls or it could also be called validation rules, will help reduce the
amount or number of input errors, thus improving data quality. To be able to identify and correct
errors before a user enters them into the system is why we want to use validation controls. There
are at least eight different types of data validation rules. An example is a data type check, in
which it tests the field to make sure the data fits the required type, such as a numeric field will
have only numbers and the same goes for an alphabetic field that contains only the characters A
through Z. Another example is a reasonableness check, which would identify values that might
be questionable, but not wrong. An example of this could be that the input values of $.06 and
$600,000.00 that would pass a limit check for a payment value greater than zero, but both values
could also be errors. If the data was is not validated correctly, then incorrect information can be
transmitted to another system that validates it in a different way, thus creating a possible data
integrity error between he two systems.
Input masks are a good input control because these are templates or patterns designed so
that they restrict what data can be entered and prevent errors. Some examples that are standard
input masks for fields...