Separate Hue from Light-Dark Value

Supplied materials

• Paper and a pencil, typed notes or a browser scratch area. Color names can replace colored supplies; drawn figures and timelines can replace performance.
• Complete teaching inputs: Use the supplied value scale0=dark,10=light. The original equal-value hue pair has values1 and1; proposed contrast endpoints are0 and8. Which comparison creates the stated light-dark distinction? Supplied candidates: (A) Hue names only, without any value information (B) Two hue labels both assigned value1 (C) Values 0 and 8 (D) Values 1 and 1.
• Independent check: Use the supplied value scale0=dark,10=light. The original equal-value hue pair has values2 and2; proposed contrast endpoints are1 and9. Which comparison creates the stated light-dark distinction? Supplied candidates: (A) Hue names only, without any value information (B) Two hue labels both assigned value2 (C) Values 1 and 9 (D) Values 2 and 2.

Learn the idea

Analyze how a representation is constructed and what its evidence supports. Use a stipulated perspective guide, separate hue from value, keep external provenance records distinct from image observation and revise against a declared brief. Hue names a color family, while value describes lightness or darkness. Different hue labels can still have equal supplied values, so compare the actual value information when the brief requires a value distinction.

Reason through the supplied case: The original value difference is 1−1=0. The proposed endpoints differ by 8−0=8, so they introduce the requested value distinction under the supplied model. Hue labels alone do not establish this numeric contrast; actual rendered accessibility remains untested.

Numeric values here are an exercise model, not measured screen contrast. An equal-value comparison does not establish every real user’s perception or certify a complete accessible interface.

1. Read the complete teaching inputs and mark the feature, rule or constraint being tested.
2. Compare the model decision with one rejected candidate; state the visible evidence or calculation that distinguishes them.
3. Solve the independent check and the three changed-input practice cases before reading feedback.
4. Plan two differently named hues with the same value, then revise one to a contrasting stated value.
5. Check your artifact against these explicit criteria: The record distinguishes hue labels from value numbers and shows the deliberate value change.

Check your reasoning

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Take it further

New-input analysis: Use the supplied value scale0=dark,10=light. The original equal-value hue pair has values8 and8; proposed contrast endpoints are1 and9. Which comparison creates the stated light-dark distinction? Supplied candidates: (A) Hue names only, without any value information (B) Two hue labels both assigned value8 (C) Values 1 and 9 (D) Values 8 and 8. Expected relationship: Values 1 and 9. The original value difference is 8−8=0. The proposed endpoints differ by 9−1=8, so they introduce the requested value distinction under the supplied model. Hue labels alone do not establish this numeric contrast; actual rendered accessibility remains untested. Create your own artifact: Plan two differently named hues with the same value, then revise one to a contrasting stated value. Completion criteria: The record distinguishes hue labels from value numbers and shows the deliberate value change.

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