Visual and auditory cues significantly reduce human's intrinsic biases when tasked to generate a random number sequence

Irene Crisologo, Rene Batac, Anthony G Longjas, Erika Fille Legara, Christopher Monterola

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Humans are deemed ineffective in generating a seemingly random number sequence primarily because of inherent biases and fatigue. Here, we establish statistically that human-generated number sequence in the presence of visual cues considerably reduce one's tendency to be fixated to a certain group of numbers allowing the number distribution to be statistically uniform. We also show that a stitching procedure utilizing auditory cues significantly minimizes human's intrinsic biases towards doublet and sequential ordering of numbers. The article provides extensive experimentation and comprehensive pattern analysis of the sequences formed when humans are tasked to generate a random series using numbers "0" to "9." In the process, we develop a statistical framework for analyzing the apparent randomness of finite discrete sequences via numerical measurements.

Original languageEnglish (US)
Pages (from-to)567-581
Number of pages15
JournalInternational Journal of Modern Physics C
Volume21
Issue number5
DOIs
StatePublished - May 1 2010

Keywords

  • Brain models
  • Linfoot's criteria
  • Pattern recognition
  • Random number statistics

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