Cognitive Memory Constrained Human Decision Making based on Multi-source Information

Baocheng Geng, Quan Chen, Pramod K. Varshney

Research output: Contribution to journalConference articlepeer-review

Abstract

Unlike decision making systems made up of physical sensors where the system parameters are known a priori and can be controlled at will, human behavior in decision making is complex and uncertain. The objective of this work is to study how humans make decisions based on internal and external sources of information under cognitive memory limitations. Due to constrained capacity of working memory, humans are known to perform cognitive tasks and update their beliefs in a sequential manner rather than in parallel. In a Bayesian hypothesis testing framework, we derive the metrics for performance evaluation and comparison when the humans use different ordering of information for processing and to update their beliefs. We show that an appropriate order of information sources can help a cognitive memory limited human make better decisions. Simulations are presented to corroborate the theoretical results.

Original languageEnglish (US)
Pages (from-to)5325-5329
Number of pages5
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2021-June
DOIs
StatePublished - 2021
Event2021 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2021 - Virtual, Toronto, Canada
Duration: Jun 6 2021Jun 11 2021

Keywords

  • Binary hypothesis testing
  • Cognitive memory limitation
  • Human decision making
  • Sequential updating

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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