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Related Concept Videos

Heuristics01:21

Heuristics

Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
People often rely on heuristics when faced with an overload of information, limited time, low importance of the decision, limited information, or when a heuristic readily comes to mind. For...
The Anchoring-and-Adjustment Heuristic01:25

The Anchoring-and-Adjustment Heuristic

In order to make good decisions, we use our knowledge and our reasoning. Often, this knowledge and reasoning is sound and solid. However, sometimes, we are swayed by biases or by others manipulating a situation. For example, let’s say you and three friends wanted to rent a house and had a combined target budget of $1,600. The realtor shows you only very run-down houses for $1,600 and then shows you a very nice house for $2,000. Might you ask each person to pay more in rent to get the $2,000...
Hindsight Biases01:12

Hindsight Biases

Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now?
The Availability Heuristic01:08

The Availability Heuristic

A heuristic is a general problem-solving framework (Tversky & Kahneman, 1974). You can think of these as mental shortcuts that are used to solve problems. Different types of heuristics are used in different types of situations, and the impulse to use a heuristic occurs when one of five conditions is met (Pratkanis, 1989):
Reason and Intuition01:37

Reason and Intuition

The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the brain can only use...
Survival Tree01:19

Survival Tree

Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a survival tree begins...

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Related Experiment Video

Updated: Jul 6, 2026

Using Practice Testing, Public Speaking, and Source Monitoring to Examine the Influences of Learning Strategies and Stress on Episodic Memory
07:59

Using Practice Testing, Public Speaking, and Source Monitoring to Examine the Influences of Learning Strategies and Stress on Episodic Memory

Published on: June 14, 2019

How practice produces suboptimal heuristics that render backup instruments ineffective.

Robert J Youmans1, Stellan Ohlsson

  • 1University of Illinois at Chicago, USA. robert.youmans@csun.edu

Ergonomics
|March 22, 2008
PubMed
Summary
This summary is machine-generated.

Operators adapt to machine malfunction by changing decisions, not by using backup instruments. This occurs due to failures in noticing or interpreting feedback, highlighting a flaw in relying solely on backup systems.

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Last Updated: Jul 6, 2026

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Area of Science:

  • Human-Computer Interaction
  • Cognitive Psychology
  • Machine Operation Safety

Background:

  • Machine operation relies on instrument monitoring for status.
  • Backup instruments are a safeguard against primary instrument failure.
  • Operator response to malfunction, specifically attention allocation to backups, is not well understood.

Purpose of the Study:

  • To investigate the effect of negative outcomes and feedback on operator attention to backup instruments.
  • To understand how operators adapt to instrument malfunction in simulated environments.

Main Methods:

  • Four experiments were conducted using a simulated machine.
  • Operators' responses to instrument malfunction were observed.
  • Feedback mechanisms and their interpretation were analyzed.

Main Results:

  • Prior practice led operators to adopt suboptimal decision rules instead of shifting attention to backup instruments.
  • Operators frequently failed to notice cues indicating a need to switch during simulations.
  • Operators demonstrated difficulties in correctly interpreting outcome feedback post-simulation.

Conclusions:

  • Operators may not reliably use backup instruments when primary instruments fail.
  • Relying solely on backup instruments as a safeguard may be ineffective.
  • Interface designers should be cautious about overestimating the utility of backup instruments in operator decision-making.