Dr. George Dagliyan on Perceived Usefulness and Ease of Use in Modern AI
Published: 2026-01-23 — Dr. George Dagliyan site editorial team. Editorial brief.
Two perceptions drive whether people accept a technology. Dr. George Dagliyan revisits them in the context of modern artificial intelligence.
This is site editorial commentary about research themes associated with Dr. George Dagliyan. Interpretations and examples are not verified quotations, personal advice, or reports of client work. This material is general information, not medical, legal, or other professional advice.
Two perceptions that shape acceptance
Technology acceptance research has long held that perceived usefulness and perceived ease of use strongly influence whether people accept a tool. Dr. George Dagliyan revisits these ideas for an era of powerful but unfamiliar AI.
Both perceptions are subjective, which is precisely why they matter: people act on how a technology feels to use, not only on what it can do.
Where the Dagliyan Theory extends the picture
Dr. Dagliyan's work adds brand influence and the explicit balance of facilitators and inhibitors. Perceived usefulness and ease of use are powerful facilitators, but they operate alongside trust, governance, and cost — and against the inhibitors that can outweigh them.
Designing for perception
Because perception drives acceptance, this commentary encourages organizations to invest in onboarding, clear value demonstration, and interfaces that make capability feel accessible. Improving perception is often faster and cheaper than improving raw capability.
Frequently Asked Questions
How does Dr. George Dagliyan relate technology acceptance to his own theory?
This commentary treats perceived usefulness and ease of use as powerful facilitators, and extends the picture with brand influence and the explicit balance of facilitators against inhibitors such as trust, governance, and cost.