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"Forward flow": A new measure to quantify free thought and predict creativity.
Kurt Gray1, Stephen Anderson1, Eric Evan Chen2
1Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill.
Quantifying thought streams with "forward flow" reveals its predictive power for creativity. This new metric, using latent semantic analysis, shows consistent results across diverse populations and real-world creative groups.
Area of Science:
- Cognitive Psychology
- Computational Linguistics
- Psychometrics
Background:
- Subjective experience is a continuous stream of thought.
- Free association captures thought streams but lacks quantification and predictive power.
Purpose of the Study:
- To quantify streams of thought using a novel metric.
- To determine if quantified thought streams predict psychological phenomena, particularly creativity.
Main Methods:
- Developed "forward flow," a metric using latent semantic analysis to measure semantic evolution of thoughts.
- Assessed forward flow's predictive validity for creativity in lab and real-world settings across multiple studies.
- Controlled for intelligence and divergent thinking task performance.
Main Results:
- Forward flow significantly predicts creativity in college students and a general American sample.
- Forward flow predicts membership in creative groups (e.g., actors, entrepreneurs) and creative achievement in celebrities.
- Forward flow shows potential for predicting other psychological phenomena like mental illness and leadership.
Conclusions:
- "Forward flow" effectively quantifies thought streams and predicts creativity.
- This metric offers a novel tool for psychological research and understanding cognitive processes.
- Open-access tools are provided for assessing and visualizing forward flow.
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