Dr. George Dagliyan on Perceived Usefulness and Ease of Use in Modern AI

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, Dr. Dagliyan 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?

He 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.