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User:Srivera6/Behavior informatics

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Behavior informatics (BI) is the informatics of behaviors so as to obtain behavior intelligence and behavior insights. BI is a research method combining science and technology, specifically in the area of engineering. The purpose of BI includes analysis of current behaviors as well as the inference of future possible behaviors. This occurs through pattern recognition. [1]

Different from applied behavior analysis  from the psychological perspective, BI builds computational theories, systems and tools to qualitatively and quantitatively model, represent, analyze, and manage behaviors of individuals, groups and/or organizations[1].

BI is built on classic study of behavioral science, including behavior modeling, applied behavior analysis, behavior analysis, behavioral economics, and organizational behavior. Typical BI tasks consist of individual and group behavior formation, representation, computational modeling, analysis, learning, simulation, and understanding of behavior impact, utility, non-occurring behaviors etc. for behavior intervention and management. The Behavior Informatics approach to data utilizes cognitive data as well as behavioral data. By combining the data, BI has the potential to effectively illustrate the big picture when it comes to behavioral decisions and patterns.[2]

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References

  1. ^ a b Pavel, Misha; Jimison, Holly B.; Korhonen, Ilkka; Gordon, Christine M.; Saranummi, Niilo (2015-12). "Behavioral Informatics and Computational Modeling in Support of Proactive Health Management and Care". IEEE Transactions on Biomedical Engineering. 62 (12): 2763–2775. doi:10.1109/TBME.2015.2484286. ISSN 0018-9294. {{cite journal}}: Check date values in: |date= (help)
  2. ^ Gellman, Marc D., ed. (2020). Encyclopedia of Behavioral Medicine. New York, NY: Springer New York. doi:10.1007/978-1-4614-6439-6. ISBN 978-1-4614-6439-6.

Instructor Feedback (delete once addressed): I have included my suggested edits above in bold for your consideration. Both of the citations included are appropriate for the platform, though the first is not formatted correctly (errors in red). I am not sure the final statements about popular labs are the most appropriate, particularly without a citation. I would encourage you to review the final assignment rubric so you are aware of the areas I plan to assess for the final submission and ensure you are addressing all of them.