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International Journal of Computing and Artificial Intelligence

Impact Factor (RJIF): 5.57, P-ISSN: 2707-6571, E-ISSN: 2707-658X
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2025, Vol. 6, Issue 2, Part E

Onboarding for AI features: Reducing friction at the first use


Author(s): Ravi Palwe

Abstract:

In order to highlight efficient onboarding for AI functionalities, this manuscript emphasizes friction in the first use of AI systems. Deficiencies in opacity, user control, and value proposition are challenges users face in the first use of AI. This manuscript outlines an onboarding and first use framework that addresses the challenges of opacity, trust, and friction. Integrating user centered, diminished cognitive load, and feedback systems, this manuscript proposes onboarding design friction solutions that improve interaction engagement and retention. This retention engagement friction will be the focus of the long term user satisfaction.



DOI: 10.33545/27076571.2025.v6.i2e.227

Pages: 393-400 | Views: 170 | Downloads: 96

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International Journal of Computing and Artificial Intelligence
How to cite this article:
Ravi Palwe. Onboarding for AI features: Reducing friction at the first use. Int J Comput Artif Intell 2025;6(2):393-400. DOI: 10.33545/27076571.2025.v6.i2e.227
International Journal of Computing and Artificial Intelligence

International Journal of Computing and Artificial Intelligence

International Journal of Computing and Artificial Intelligence
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