Trust Dynamics in AI-Driven Virtual Assistants: A Cross-Cultural Study of User Confidence and Adoption

Authors

Onovughe Anthonia Okeme

Lecturer, Southern Delta University, Ozoro and Researcher, Federal University of Technology, Akure (Nigeria)

Hampo, JohnPaul A.C.

Data Scientist, Hamplus Technologies International [Hamplus Hub], Abraka (Nigeria)

Onovughe Silas Avwerosuo

Researcher, Delta State University, Abraka (Nigeria)

Essaghah Maro I.

Data Controller, Southern Delta University, Ozoro (Nigeria)

Article Information

DOI: 10.51244/IJRSI.2025.1210000167

Subject Category: Artificial Intelligence

Volume/Issue: 12/10 | Page No: 1899-1905

Publication Timeline

Submitted: 2025-10-16

Accepted: 2025-10-22

Published: 2025-11-13

Abstract

Trust is a central factor influencing the adoption and sustained use of artificial intelligence (AI)-enabled technologies, particularly virtual assistants such as Google Assistant, Siri, Alexa, and Cortana. These systems have become increasingly integrated into daily life, yet their acceptance is not uniform and often hinges on users’ trust. This study applied convenience sampling to investigate users’ trust in virtual assistants through a descriptive survey of 500 respondents distributed via Google Forms. The survey explored users’ levels of trust in AI technologies, preferred platforms, and factors influencing trust. Results show that 58% of respondents reported trusting AI-enabled machines, with Google Assistant being the most widely used (56%) and most trusted (89%) virtual assistant.

Keywords

Artificial Intelligence

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References

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