Nhận biết (M1)

Neuroscientist Kiyohito Iigaya and colleagues developed a computational model to predict how much a person will enjoy a particular work of art on a scale from 1 (not at all) to 4 (very much). They then recruited participants to use the same scale to rate several sets of paintings, including abstract and cubist works. The researchers found that their model’s predicted ratings closely matched participants’ actual ratings; for example, for participant P4, both the model’s predicted ratings and P4’s actual ratings indicate that __________

Which choice most effectively uses data from the table to complete the example?

• A.

  P4’s ratings for abstract and cubist paintings would differ from one another.

• B.

  P4 would derive less aesthetic pleasure from cubist paintings than from abstract paintings.

• C.

  P4 would derive more aesthetic pleasure from cubist paintings than from abstract paintings.

• D.

  P4’s ratings for abstract and cubist paintings would equal one another.