AI Article Synopsis

  • - The study investigates how various factors influence leukemia patients' acceptance of AI-enabled virtual assistants for self-management, focusing on performance, effort, and personal innovation.
  • - A survey with 397 participants identified that performance expectancy, effort expectancy, and personal innovativeness were the most impactful factors, with some significant variations based on gender and age.
  • - While concerns like privacy risks and ethical issues exist, the effectiveness and usability of AI tools are driving their increased adoption among patients.

Article Abstract

Aim And Purpose: The purpose of this study is to analyze the various influencing factors affecting the adoption of artificial intelligence (AI)-enabled virtual assistants (VAs) for self-management of leukemia.

Methods: A cross-sectional survey design is adopted in this study. The questionnaire included eight factors (performance expectancy, effort expectancy, social influence, facilitating conditions, behavioral intention, trust, perceived privacy risk, and personal innovativeness) affecting the acceptance of AI-enabled virtual assistants. A total of 397 leukemia patients participated in the online survey.

Results: Performance expectancy (μ = 3.14), effort expectancy (μ = 3.05), and personal innovativeness (μ = 3.14) were identified to be the major influencing factors of AI adoption. Statistically significant differences (p < .05) were observed between the gender-based and age groups of the participants in relation to the various factors. In addition, perceived privacy risks were negatively correlated with all other factors.

Conclusion: Although there are negative factors such as privacy risks and ethical issues in AI adoption, perceived effectiveness and ease of use among individuals are leading to greater adoption of AI-enabled VAs.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10757561PMC
http://dx.doi.org/10.7759/cureus.49724DOI Listing

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