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The Flow Engine Framework: A Cognitive Model of Optimal Human Experience
Milija Šimleša1,2,3, Jérôme Guegan2, Edouard Blanchard1
1SBT Group, Paris, France.
Europe'S Journal of Psychology
|June 15, 2018
Summary
This study introduces the Flow Engine Framework, a cognitive model explaining how flow states emerge from cognitive processes. It details inputs, cognitive mechanisms, and outputs for a comprehensive understanding of psychological flow.
Area of Science:
- Psychology
- Cognitive Science
Background:
- Flow is a recognized psychological state, but a cognitive model is needed for deeper understanding.
- Existing literature lacks a comprehensive framework explaining the cognitive underpinnings of flow.
Purpose of the Study:
- To propose the Flow Engine Framework, a novel theoretical model for flow.
- To explain the dynamic interactions between flow components and cognitive processes.
Main Methods:
- Utilized an Inputs-Processes-Outputs (IPO) framework with feedback.
- Organized flow characteristics into inputs, mediating/moderating cognitive processes, and outputs.
Main Results:
- The Flow Engine Framework conceptualizes flow using an engine analogy: fuel (inputs), cylinder strokes (processes), and power (outputs).
- Identified key cognitive processes including attentional and motivational mechanisms.
Conclusions:
- The Flow Engine Framework provides a cognitive-based model for understanding the psychological phenomenon of flow.
- This model elucidates the dynamic interplay of cognitive factors contributing to flow states.
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