↓ Skip to main content

Absolutely relative or relatively absolute: violations of value invariance in human decision making

Overview of attention for article published in Psychonomic Bulletin & Review, May 2015
Altmetric Badge

Mentioned by

peer_reviews
1 peer review site

Citations

dimensions_citation
80 Dimensions

Readers on

mendeley
78 Mendeley
Title
Absolutely relative or relatively absolute: violations of value invariance in human decision making
Published in
Psychonomic Bulletin & Review, May 2015
DOI 10.3758/s13423-015-0858-8
Pubmed ID
Authors

Andrei R. Teodorescu, Rani Moran, Marius Usher

Abstract

Making decisions based on relative rather than absolute information processing is tied to choice optimality via the accumulation of evidence differences and to canonical neural processing via accumulation of evidence ratios. These theoretical frameworks predict invariance of decision latencies to absolute intensities that maintain differences and ratios, respectively. While information about the absolute values of the choice alternatives is not necessary for choosing the best alternative, it may nevertheless hold valuable information about the context of the decision. To test the sensitivity of human decision making to absolute values, we manipulated the intensities of brightness stimuli pairs while preserving either their differences or their ratios. Although asked to choose the brighter alternative relative to the other, participants responded faster to higher absolute values. Thus, our results provide empirical evidence for human sensitivity to task irrelevant absolute values indicating a hard-wired mechanism that precedes executive control. Computational investigations of several modelling architectures reveal two alternative accounts for this phenomenon, which combine absolute and relative processing. One account involves accumulation of differences with activation dependent processing noise and the other emerges from accumulation of absolute values subject to the temporal dynamics of lateral inhibition. The potential adaptive role of such choice mechanisms is discussed.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 26%
Researcher 18 23%
Student > Master 11 14%
Student > Bachelor 5 6%
Professor 4 5%
Other 11 14%
Unknown 9 12%
Readers by discipline Count As %
Psychology 36 46%
Neuroscience 12 15%
Computer Science 3 4%
Social Sciences 3 4%
Agricultural and Biological Sciences 2 3%
Other 9 12%
Unknown 13 17%