CAPA: A Multiplicative Framework for Human Performance in the AI Age

Key Points

• This research aims to establish a framework that predicts human performance specifically in roles enhanced by AI technology.
• Developed the CAPA framework comprising curiosity, attitude, passion, and aptitude.
• Transformed the CAPA concept into a predictive instrument for human performance.
• Analyzed the multiplicative nature of the framework compared to traditional additive models.
• Found that human performance in AI contexts is multiplicative, meaning all elements must be positive for success.
• Demonstrated that any zero in the four factors collapses overall performance.
• Indicated that AI reduces the significance of aptitude in determining professional success.

Abstract