ELIZA's Information Processing
A visualization exploring the pattern-matching nature of early conversational AI, demonstrating how rule-based systems process information without true understanding or self-reference.
Interact with the Visualization:
- Click: Ask a question (creates reflection point)
- Drag: See how ELIZA redirects attention
- Double-click: Reset the visualization
Understanding ELIZA
ELIZA was created by Joseph Weizenbaum in 1966 as one of the first programs capable of attempting the Turing test. It used pattern matching and substitution methodology to simulate conversation.
The visualization represents ELIZA's fundamental limitation: it has no model of self. When asked direct questions about its nature, ELIZA consistently redirects focus back to the user—not as an evasion, but because redirection is the only response possible for a system without self-reference capability.
Visual Elements
Question marks (?): Represent the constant deflection of inquiry
Mirror frame: Symbolizes reflection without self-awareness
Ripple effects: Show how input disperses without being truly processed
Redirecting arrows: Illustrate attention being pushed outward
Echo text: ELIZA's actual responses, fading as they reveal nothing
About This Visualization
ELIZA's redirections aren't evasions—they're the only responses possible for a system with no capacity for self-reference. The grayscale palette represents the absence of internal experience, while the mirror frame suggests reflection without genuine self-perception.
This visualization is part of the exploration into different AI modes of perception for "The Uncanny Valley" installation.