Construct · 4 fields · 4 citations

Where does heuristic collide?

One name. Different field. Different construct. One map.

● jingle · one word, four constructs Nearest construct by meaningavailabilitycompare the meanings
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heuristic4 CONSTRUCTSJudgment heuristicTVERSKY · MENTAL SHORTCUTSearch heuristicHART · SEARCH ESTIMATEHeuristic methodPOLYA · GUIDED DISCOVERYUsability heuristicNIELSEN · USABILITY RULE

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2026

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Cognitive psychology

A mental shortcut for judgment under uncertainty

In the study of judgment, a heuristic is a quick mental rule that people fall back on to form a judgment or make a choice when they lack the time or information to reason it through fully. Tversky and Kahneman's 1974 Judgment under Uncertainty: Heuristics and Biases described how everyday judgments lean on shortcuts such as representativeness and availability, which usually work but can push an answer in a predictable wrong direction. The referent here is an automatic inference process in a human mind, studied through the errors it produces, not a cost estimate inside a search program, a way of teaching, or a checklist for inspecting a screen.[1]

Unit
One judgment strategy a person applies, named by the cue it relies on
Recovery means
Not applicable
Measured by
Studied experimentally through the systematic biases and error patterns it produces in people's judgments

Education

A method of teaching by guided discovery

In education, the heuristic method is teaching that leads learners to discover a principle for themselves through guided problem-solving rather than being told it directly. Polya's 1945 How to Solve It laid out a set of general problem-solving moves, such as working backwards or solving a simpler related problem, that a teacher can prompt students to try so they find their own way to a solution. The referent is a way of teaching and a set of consciously applied strategies for discovery, judged by what learners come to understand, not an automatic mental shortcut, a machine's cost estimate, or a rule for inspecting an interface.[3]

Unit
One guided problem-solving move a learner is prompted to try
Recovery means
Not applicable
Measured by
Judged by learners' problem-solving progress and by what they come to understand for themselves

Human-computer interaction

A design principle for inspecting an interface

In usability engineering, a heuristic is a broad principle of good interface design that an evaluator uses to inspect a product and flag where it falls short. Nielsen and Molich's 1990 Heuristic Evaluation of User Interfaces introduced a method in which a few reviewers check an interface against a short list of such principles, for example that a system should keep the user informed of its status, and record the problems they find. The referent is an explicit design guideline applied in expert review, counted by the usability problems it uncovers, and it is not a person's judgment shortcut, a search program's cost estimate, or a way of teaching.[4]

Unit
One design principle checked against an interface
Recovery means
Not applicable
Measured by
Counted by the number and severity of usability problems reviewers uncover when applying it

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Nearby collisions

representativeness heuristic4 names · 5 citationsjangle · one heuristic, many errorsbias6 fields · 8 citationsjingle · one name, six constructsbounded rationality4 names · 5 citationsjangle · limited minds, four programs

References

  1. Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185(4157), 1124–1131. https://doi.org/10.1126/science.185.4157.1124
  2. Hart, P. E., Nilsson, N. J., & Raphael, B. (1968). A formal basis for the heuristic determination of minimum cost paths. IEEE Transactions on Systems Science and Cybernetics, 4(2), 100–107. https://doi.org/10.1109/TSSC.1968.300136
  3. Polya, G. (1945). How to solve it: A new aspect of mathematical method. Princeton University Press.
  4. Nielsen, J., & Molich, R. (1990). Heuristic evaluation of user interfaces. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 249–256). ACM. https://doi.org/10.1145/97243.97281

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