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  Published Paper Details:

  Paper Title

AI-Powered Habit Tracking: Enhancing User Adherence Through Behavioral Psychology

  Authors

  Kirti,  Ajeet Singh

  Keywords

AI-powered habit tracking, behavioral psychology, user adherence, reinforcement learning, gamification

  Abstract


AI-powered habit trackers are changing the way we approach personal growth, making it easier and more engaging to stick with positive routines. This research looks at how principles from behavioral psychology--like reinforcement learning, habit loops, and reducing mental effort--can be built into these smart tools to help people stay consistent and motivated. We compare AI-driven habit tracking apps with traditional ones to see how they affect user engagement, motivation, and long-term behavior change. The findings show that AI-enhanced tools are much more effective at helping users stay on track. They do this by offering personalized advice, flexible reminders, and game-like features that keep things interesting. That said, there are still some challenges to address--especially when it comes to data privacy and potential biases in the algorithms. This study also offers a few suggestions for improving how AI is used in these kinds of apps going forward.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2504673

  Paper ID - 282255

  Page Number(s) - f824-f827

  Pubished in - Volume 13 | Issue 4 | April 2025

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Kirti,  Ajeet Singh,   "AI-Powered Habit Tracking: Enhancing User Adherence Through Behavioral Psychology", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 4, pp.f824-f827, April 2025, Available at :http://www.ijcrt.org/papers/IJCRT2504673.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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