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Related Concept Videos

Confirmation Biases01:31

Confirmation Biases

The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?
Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
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?
Confidence Coefficient01:24

Confidence Coefficient

The confidence coefficient is also known as the confidence level or degree of confidence. It is the percent expression for the probability, 1-α, that the confidence interval contains the true population parameter assuming that the confidence interval is obtained after sufficient unbiased sampling; for example, if the CL = 90%, then in 90 out of 100 samples the interval estimate will enclose the true population parameter. Here α is the area under the curve, distributed equally under both the...
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...
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Detection of Gross Error: The Q Test

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Related Experiment Videos

Change detection inflates confidence on a subsequent recognition task.

Ryan J Fitzgerald1, Chris Oriet, Heather L Price

  • 1Department of Psychology, University of Regina, Regina, SK, Canada. fitzgerr@uregina.ca

Memory (Hove, England)
|October 25, 2011
PubMed
Summary
This summary is machine-generated.

Good encoding conditions improve face recognition memory. However, confidence in face recognition can be inflated by perceived encoding conditions, not just actual memory strength.

Related Experiment Videos

Area of Science:

  • Cognitive Psychology
  • Human Memory
  • Visual Perception

Background:

  • Effective face recognition is crucial for social interaction.
  • Encoding conditions significantly impact memory recall.
  • Understanding factors influencing recognition confidence is vital for eyewitness testimony.

Purpose of the Study:

  • To investigate the impact of encoding conditions on face recognition confidence.
  • To determine if change detection influences recognition accuracy and confidence.
  • To explore the relationship between perceived encoding quality and memory certainty.

Main Methods:

  • Four experiments were conducted involving face recognition tasks.
  • Participants performed change detection and recognition tasks.
  • Confidence ratings were collected following recognition accuracy assessments.

Main Results:

  • Greater recognition confidence was observed following change detection compared to change blindness.
  • Inflated confidence occurred even with inaccurate recognitions.
  • Perceived encoding conditions, not solely memory strength, influenced recognition certainty.

Conclusions:

  • Change detection enhances recognition confidence, irrespective of accuracy.
  • Recognition certainty is influenced by perceived encoding quality.
  • Eyewitness confidence may be unreliable due to encoding condition effects.