Which statement does not support Hick's Law?

Question

BlackTom AI · Accepted Answer

To tackle the question, I’ll review what Hick's Law claims about reaction time (RT) and choice complexity, then evaluate each option.
Option A: 'A person's RT can be predicted when their simple RT and the number of choices are known.' This aligns with Hick's Law in that RT increases with the log (or some monotonic function) of the number of choices, and knowing simple RT provides a baseline from which to predict the additional time due to choice processing. This statement is consistent with the law.
Option B: 'RT will increase logarithmically as the number of stimulus-response choices increase.' This is a direct expression of Hick's Law, which posits that RT grows in a log-like fashion with the number of choices. It is a textbook reflection of the principle.
Option C: 'RT increase is due to the information transmitted by the possible choices.' This interpretation connects RT to information theory, where more choices carry more information and thus require more processing time, which is compatible with the rationale behind Hick's Law. It supports the law rather than contradicting it.
Option D: 'RT is not related to the number of stimulus or response choices.' This statement contradicts Hick's Law, which specifically asserts a relationship between RT and the number of choices (often modeled as a logarithmic increase). Saying there is no relation is therefore not supportive of Hick's Law.
In summary, Options A, B, and C are consistent with Hick's Law and its explanations about how RT scales with choice complexity and information, whereas Option D rejects the core idea, making it the statement that does not support Hick's Law.

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Which statement does not support Hick's Law?

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