Accuracy is a key metric for any space bar-based typing test, as it represents the user's ability to accurately input the designated text. A designer or developer may need to know how well a participant is performing at a specific speed to determine how easy or difficult a task is, and accuracy can help indicate this difficulty.
Measuring accuracy in a space bar-based typing test comes down to reviewing the user's input and comparing it to the text they were tasked with typing. A designer or developer will typically use either keystroke logging or manual review techniques to assess the user's performance.
Keystroke logging records each individual keystroke of a user, saving it in a file that can be later analyzed. For example, if a participant types "I clicked on the button" and makes an error (such as putting one letter in the wrong place), the logged data would capture this information. With this data, developers can count every mistake made and compare it to the total number of keystrokes to create an overall accuracy rate for the participant.
In some cases, manually reviewing each entry is more appropriate for calculating accuracy than using keystroke logging methods. This involves using an automated system or manually transcribing each typed word after completing the task and comparing it with what was assigned. Manual review allows designers/developers to check for errors at each step of both text entry and review without having to rely on auto-generated logs that may miss important details about formative errors.
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