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THE INFLUENCE OF ARTIFICIAL INTELLIGENCE ON HUMAN BEHAVIOR AND WELL-BEING: AN EMPIRICAL STUDY

Artificial Intelligence (AI) is a sector within computer science dedicated to creating systems designed to execute functions traditionally requiring human cognition, including visual perception, speech recognition, decision-making, and language translation. Its significance for human well-being is highlighted by its role in refining and accelerating decision-making, elevating healthcare standards, boosting productivity in multiple sectors, and addressing intricate social issues. This study utilized a mixed-metho…

By the Truvace desk1 min read1 sourcePeer-reviewedTRV-2026-0161· cite & verify
THE INFLUENCE OF ARTIFICIAL INTELLIGENCE ON HUMAN BEHAVIOR AND WELL-BEING: AN EMPIRICAL STUDY
Assessing marijuana consequences : selected questionnaire items by Huba, George J Bentler, Peter M Newcomb, Michael D Lettieri, Dan J UCLA Research Center on Adolescent Drug Use National Institute on Drug Abuse. Public domain

In brief

On 2026-06-04 a peer-reviewed study reported results from 150 participants surveyed about AI's influence on behavior and well-being. Using a Likert-scale questionnaire analyzed in SPSS version 25, the authors found educational support had the highest mean at 4.89 and emotional and mental well-being had the highest mean difference at 4.9, with all T-tests significant at p < 0.000.

The pattern matters because it shows the same AI applications perceived as strongly helpful for personalized learning and well-being were also perceived as contributing to social isolation, though to a lesser degree at 3.05. It remains uncertain whether these self-reported perceptions translate to objective learning or health outcomes, and how they vary beyond the 150-person sample.

Main points

  1. Mixed-method study with 150 participants using structured Likert-scale questionnaire analyzed with SPSS version 25.
  2. Educational Support had highest mean at 4.89 indicating strong influence on personalizing education.
  3. Emotional and Mental Well-being showed highest mean difference at 4.9 in One-Sample T-Tests with p < 0.000.
  4. Social Isolation had lowest mean at 3.05 but still notable as AI-driven technologies might contribute to isolation.

The gain

AI use was associated with strong perceived gains in educational support through enhanced and personalized learning environments, and in emotional and mental well-being.

The rundown

The authors surveyed 150 participants with a Likert-scale instrument and reviewed literature from academic journals and online databases, analyzing responses in SPSS version 25.

One-Sample T-Tests across all variables returned p < 0.000, with educational support at 4.89 and emotional and mental well-being mean difference at 4.9, while social isolation scored 3.05.

Sources

  1. Peer-reviewedShodhAI: Journal of Artificial Intelligence2026-06-04

The debate