A report should use clear, direct language. It must avoid language that sounds like blame. The visual design of a report, like color and placement of elements, should support understanding.
By Pawan Nayar · from the LLOS AI Learning record
A report should use clear, direct language.
It must avoid language that sounds like blame. The visual design of a report, like color and placement of elements, should support understanding.
A report can use a single sentence to connect different sections. This sentence should appear automatically without a button. Its placement must help the user understand the report's flow. Language in a report should focus on awareness, not weakness. For example, say 'Possessives were blurred' instead of 'Your weakness was Possessives.' This approach helps the user learn without feeling criticized. Color cutoffs for scores should be clear. For example, 80% for green, 60% for yellow, 40% for orange, and below 40% for red. Some user profiles might need gentler cutoffs, like 70%, 50%, and 30%.
A student receives a writing report. The report uses the phrase 'Sentence structure needs attention' instead of 'You have weak sentence structure.' This helps the student understand the area for improvement without feeling discouraged. The report also shows a single connecting sentence between two main sections, making the report easier to follow.
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The language in an AI model's user interface defines its personality. Using human-like words makes the experience more engaging.
A close button should have a strong visual style. This style should be visible all the time.
When a user sees many options, an AI model can show them in a list. If there are five or more options, a special button appears.
An AI model should use a specific writing style, or register, for each section. Do not mix styles from one section into another.
A report should use clear, direct language. It must avoid language that sounds like blame. The visual design of a report, like color and placement of elements, should support understanding.