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Modeling dependent group judgments: A computational model of sequential collaboration.

Maren Mayer1, Daniel W Heck2

  • 1Leibniz-Institut für Wissensmedien (Knowledge Media Research Center), Tübingen, Germany. maren.mayer@iwm-tuebingen.de.

Psychonomic Bulletin & Review
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Summary
This summary is machine-generated.

Sequential collaboration enhances group judgment accuracy over time, even surpassing the wisdom of crowds. This online contribution method allows experts to refine judgments, leading to more accurate collective outcomes.

Keywords:
Advice takingAnchoringMathematical modelWisdom of crowds

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Area of Science:

  • Cognitive Science
  • Social Psychology
  • Computational Modeling

Background:

  • Sequential collaboration involves incremental contributions to online projects like Wikipedia.
  • Previous studies show sequential chains reduce change frequency and increase judgment accuracy.
  • Expertise influences selective adjustments in sequential judgment tasks.

Purpose of the Study:

  • To develop a formal computational model of sequential collaboration.
  • To formalize the cognitive processes underlying sequential judgment formation.
  • To benchmark sequential collaboration against independent judgments.

Main Methods:

  • Developed a computational model simulating sequential and independent judgments.
  • Model incorporates individual expertise, adjustment tendencies, item difficulty, and judgment effects.
  • Empirical study validated model predictions for long sequential chains.

Main Results:

  • Model accurately predicts empirical findings on change probability, magnitude, and accuracy.
  • Expertise is identified as a key driver of accuracy in sequential collaboration.
  • Judgments in long sequential chains were confirmed to be highly accurate.

Conclusions:

  • The developed model provides a formal theory for sequential collaboration.
  • Sequential collaboration can yield judgments as accurate or more accurate than the wisdom of crowds.
  • The model offers a framework for future research on dependent judgments.