Searching for the Majority: Algorithms of Voluntary Control
2008

Searching for the Majority: Algorithms of Voluntary Control

Sample size: 24 publication 10 minutes Evidence: moderate

Author Information

Author(s): Fan Jin, Guise Kevin G., Liu Xun, Wang Hongbin

Primary Institution: Mount Sinai School of Medicine

Hypothesis

What algorithms do participants use to control information processing when identifying the majority direction of arrows?

Conclusion

Participants use a grouping search algorithm to identify the majority direction of arrows more efficiently than other algorithms.

Supporting Evidence

  • Participants' reaction times varied significantly with different set sizes of arrows.
  • The grouping search algorithm better predicted reaction times than self-terminating search.
  • Participants reported using a grouping strategy to identify the majority direction of arrows.

Takeaway

This study shows that when people look at a group of arrows, they can quickly figure out which way most of them are pointing by grouping them together.

Methodology

Participants completed a majority function task where they identified the majority direction of arrows presented in varying set sizes.

Potential Biases

Potential biases may arise from self-reported strategies used by participants.

Limitations

The study's findings may not generalize to other types of decision-making tasks outside the majority function context.

Participant Demographics

24 adult volunteers (13 females, 11 males; mean age 25.9 years).

Statistical Information

P-Value

p<0.01

Statistical Significance

p<0.01

Digital Object Identifier (DOI)

10.1371/journal.pone.0003522

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