Advanced Concepts
Eliza effect
Reading more human-like understanding into a computer's replies than the evidence supports.
Example
A user assumes a simple conversational program truly understands their feelings.
Why people use it
It helps people notice when conversational responses create an exaggerated impression of understanding.
What you'll hear
“It sounds understanding, but how much does it actually know?”
What this means for you
Judge capability through outcomes and limitations rather than conversational warmth alone.
Can you control it?
No
No direct control. This describes a wider issue, concept or result rather than something you can simply switch on or off in a tool.
Common questions
- Does a supportive reply prove the system understands your situation?
- No. Appropriate phrasing can be produced with limited comprehension.
- Can a very simple program create this impression?
- Yes. Even basic conversational patterns can feel meaningful to someone reading them.
- Can the effect change how much someone shares?
- It can. Feeling understood may encourage someone to disclose more personal information.