4.7 Article

Subjective Importance of a Common Feature Decides Its Consideration in Multi-attribute Decision-making

Journal

FRONTIERS IN PSYCHOLOGY
Volume 11, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fpsyg.2020.583999

Keywords

multi-attribute decision-making; common feature; attention; top-down; environmental decision-making

Funding

  1. National Natural Science Foundation of China [71671162]

Ask authors/readers for more resources

The study explored the influence of subjective importance on the consideration of common features in multi-attribute decision-making, finding that the level of consideration increases with the subjective importance of the common feature. This provides a new explanation for individual differences and insights into the underlying process of multi-attribute decision-making.
One of the interesting research questions in multi-attribute decision-making is what affects the consideration of shared information (i.e., common features) between two alternatives. Previous studies have suggested two approaches (bottom-up and top-down) in finding what characteristics of common features affect their consideration. Two bottom-up factors (salience and interdependence) were found, but no top-down factors were discovered. In the current study, we followed the top-down approach and investigated how subjective importance (SI) of a common feature affects its consideration. In two studies, we consistently found that, on both the general and individual level, the level of consideration increased with the SI of the common feature. This result provided a new explanation for the effect of common feature consideration and its individual difference; it also provided insights in explaining the underlying process of multi-attribute decision making.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available