Behaviorism
Behavior informatics and behavior computing

With the fast growth of big behavioral data and applications, behavior analysis is ubiquitous. Understanding behavior from the informatics and computing perspective becomes increasingly critical for in-depth understanding of what, why and how behaviors are formed, interact, evolve, change and affect business and decision. Behavior informatics and behavior computing deeply explore behavior intelligence and behavior insights from the informatics and computing perspectives.

Pavel et al. (2015) found that in the realm of healthcare and health psychology, substantial evidence supports the notion that personalized health interventions yield greater effectiveness compared to standardized approaches. Additionally, researchers found that recent progress in sensor and communication technology, coupled with data analysis and computational modeling, holds significant potential in revolutionizing interventions aimed at changing health behavior. Simultaneous advancements in sensor and communication technology, alongside the field of data science, have now made it possible to comprehensively measure behaviors occurring in real-life settings. These two elements, when combined with advancements in computational modeling, have laid the groundwork for the emerging discipline known as behavioral informatics. Behavioral informatics represents a scientific and engineering domain encompassing behavior tracking, evaluation, computational modeling, deduction, and intervention.
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