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March 29, 2026Advances in Computational Intelligence0 citationsOpen Access

Motivators and detractors to integration of the user AI experience

TMThomas S. Mueller

Key Points

  • The aim is to identify user motivators and detractors affecting the adaptation of artificial intelligence.
  • Qualitative semi-structured interviews with 21 participants
  • Quantitative analysis involving 629 respondents
  • Logistic regression for analyzing predictors of AI societal benefit
  • 58% of respondents disagreed that AI will benefit society
  • Significant differences noted between gender identities regarding AI support
  • Political conservatism correlated with lower support for AI initiatives
  • Ethical outcomes were key predictors of trust in AI activities
  • Social media risks marginally impacted perceptions of AI benefits

Abstract

Abstract Developers and marketers of artificial intelligence (AI) powered innovations have pushed technology to the forefront, well ahead of user experience and ethical implications. This exploratory study used qualitative semi-structured interviews ( N = 21) and then quantitative analysis ( N = 629) to predict user motivators and detractors to AI adaptation. Fifty-eight percent of respondents in this study did not agree that AI will benefit our society. There was a significant difference those identified as highly feminine and the highly masculine. Those politically conservative were less likely to support AI initiatives than those politically liberal. Independent variables were factored into latent themes “Ethical Outcomes”, Social Media Risk vs. Reward”, and “Governmental Constraint.” Ethical Outcomes was the key significant predictor of “trust AI with my personal and business activities.” The effect of Social Media Risk was marginal but significant. Logistic regression with the dependent variable “overall, artificial intelligence will benefit our society” once again captured Ethical Outcomes. The concern for social media implications was 19% more likely to be considered when pondering beneficence of AI in society. Governmental Constraint was 70% more likely to occur. When AI is considered as a future religious entity, users perceive a decrease in benefit to society. A hierarchical decision tree with the target variable “trust related to AI” illustrates users first consider ethical implications of AI in society, and then face dilemmas of copyright infringement and effect on political elections.

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Cite This Study

Thomas S. Mueller (2026) studied this question.

synapsesocial.com/papers/69c8c3bdde0f0f753b39eaeahttps://doi.org/10.1007/s43674-026-00088-2
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