Cognitive Scaffold

Preparing your thinking workspace

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MENTAL MODEL · M4048

The Eliza Effect

The Eliza Effect
CultureHigh supportAnthropology
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Updated 2026-08-08

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INTRODUCTION

English translation pending.

CORE DEFINITION

Named after ELIZA, Joseph Weizenbaum's chatbot, which used simple pattern matching to mimic a Rogerian therapist. Weizenbaum was disturbed to find that users, including his own secretary, confided in the program and asked him to leave the room, despite knowing it was a program. The effect describes the human readiness to read comprehension and intention into any system that produces conversationally appropriate output. It remains a central concern in human-computer interaction and in discussions of artificial intelligence alignment and overtrust.

SCAFFOLDING EFFECT

psychology

Reduce cognitive load

- Anthropomorphism check: ask whether you are responding to the system's output or to an intention you have projected onto it. - Capability boundary: separate fluent language from actual comprehension, and never let fluency imply reliability. - Safety rule: never let a decision depend on the impression that the system understands what is at stake.

anchor

Anchor fast decisions

Humans run a fast automatic intention detector that treats conversational signals as evidence of a mind behind them. Fluent and contextually appropriate language is exactly the kind of signal that triggers this attribution, so it fires whether or not any understanding is present. Once a mind has been attributed, social norms such as politeness, trust, and deference follow automatically, which is why the effect survives explicit knowledge that the interlocutor is a program.

MINIMUM ACTION

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Source support: Explicit

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    en.wikipedia.orghttps://en.wikipedia.org/wiki/ELIZA_effectZH · Explicit
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