Title |
A new perspective on human reward research: How consciously and unconsciously perceived reward information influences performance
|
---|---|
Published in |
Cognitive, Affective, & Behavioral Neuroscience, January 2014
|
DOI | 10.3758/s13415-013-0241-z |
Pubmed ID | |
Authors |
Claire M. Zedelius, Harm Veling, Ruud Custers, Erik Bijleveld, Kimberly S. Chiew, Henk Aarts |
Abstract |
The question of how human performance can be improved through rewards is a recurrent topic of interest in psychology and neuroscience. Traditional, cognitive approaches to this topic have focused solely on consciously communicated rewards. Recently, a largely neuroscience-inspired perspective has emerged to examine the potential role of conscious awareness of reward information in effective reward pursuit. The present article reviews research employing a newly developed monetary-reward-priming paradigm that allows for a systematic investigation of this perspective. We analyze this research to identify similarities and differences in how consciously and unconsciously perceived rewards impact three distinct aspects relevant to performance: decision making, task preparation, and task execution. We further discuss whether conscious awareness, in modulating the effects of reward information, plays a role similar to its role in modulating the effects of other affective information. Implications of these insights for understanding the role of consciousness in modulating goal-directed behavior more generally are discussed. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 33% |
Belgium | 1 | 33% |
United States | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 1% |
United Kingdom | 2 | 1% |
Japan | 1 | <1% |
Unknown | 178 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 44 | 24% |
Student > Master | 31 | 17% |
Researcher | 30 | 16% |
Student > Bachelor | 15 | 8% |
Student > Doctoral Student | 12 | 7% |
Other | 28 | 15% |
Unknown | 23 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 95 | 52% |
Neuroscience | 14 | 8% |
Business, Management and Accounting | 8 | 4% |
Agricultural and Biological Sciences | 7 | 4% |
Medicine and Dentistry | 4 | 2% |
Other | 14 | 8% |
Unknown | 41 | 22% |