Neural Affective Mechanisms Predict Market-Level Microlending
Alexander Genevsky1, Brian Knutson2
1Department of Psychology genevsky@stanford.edu.
Psychological Science
|July 19, 2015
Summary
Positive emotions in photos and brain activity boost microloan success. Affective neuroscience reveals how arousal influences lending decisions in online markets.
Area of Science:
- Neuroscience
- Behavioral Economics
- Affective Science
Background:
- Understanding the neuropsychological underpinnings of human altruism and lending behavior is crucial.
- Previous research has not fully elucidated the neural mechanisms driving lending decisions, especially in financially incentivized markets.
Purpose of the Study:
- To investigate the role of neural affective mechanisms in microloan success.
- To determine if positive affect influences microloan request outcomes in both large-scale online data and controlled neuroimaging experiments.
Main Methods:
- Analysis of a large dataset (N=13,500) of online microloan requests, correlating photographic features with success rates.
- Neuroimaging study (N=28) measuring neural activity (nucleus accumbens) and self-reported arousal in response to loan requests.
Main Results:
- Positive affective elements in photographs significantly increased microloan request success.
- Neural activity in the nucleus accumbens and self-reported positive arousal predicted loan success, independent of individual lending choices.
Conclusions:
- Eliciting positive arousal is a key factor in the success of microloan requests.
- Affective neuroscience offers insights into microlending behavior, improving request effectiveness and market prediction.
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