Liking versus Complexity: Decomposing the Inverted U-curve

Liking versus Complexity: Decomposing the Inverted U-curve

The relationship between liking and stimulus complexity is commonly reported to follow an inverted U-curve. However, large individual differences among complexity preferences of participants have frequently been observed since the earliest studies on the topic. The common use of across-participant analysis methods that ignore these large individual differences in aesthetic preferences gives an ...

Income Inequality and Happiness: An Inverted U-Shaped Curve

Numerous studies agree that income inequality, rather than absolute income, is an important predictor of happiness. However, its specific role has been controversial. We argue that income inequality and happiness should exhibit an inverted U-shaped relationship due to the dynamic competing process between two effects: when income inequality is relatively low, the signal effect will be the domin...

Decomposing the complexity quotient category

Inverted-U and Inverted-J Effects in Self-Referenced Decisions

Rating one’s own personality traits is a common self-referential information processing task. The current paper examined the mechanism underlying this sort of trait-rating task by using a PC cursor tracing technique (Shiina, 2011a, b). The target phenomenon of interest was the inverted-U effect observed in trait ratings. The PC cursor tracing technique analyzed response times, tangential veloci...

The U-curve optimization problem: improvements on the original algorithm and time complexity analysis

The U-curve optimization problem is characterized by a decomposable in U-shaped curves cost function over the chains of a Boolean lattice. This problem can be applied to model the classical feature selection problem in Machine Learning. Recently, the U-Curve algorithm was proposed to give optimal solutions to the U-curve problem. In this article, we point out that the U-Curve algorithm is in fa...