The queuing network model human processor (qnmhp): An engineering approach for modeling cognitive performance

Robert G. Feyen, Yili Liu

Research output: Contribution to journalConference article

6 Scopus citations

Abstract

Human performance modeling approaches (HPMAs) that are comprehensive and computational are particularly useful for system development. Current comprehensive approaches have strengths in modeling a person's actions, but lack mathematical foundations that inherently yield information about the time and capacity related performance of the human in the system. This paper proposes a complementary approach called the Queuing Network Model Human Processor (QNMHP) that combines elements of the GOMS/Model Human Processor approach with the mathematical concept of queuing networks. A general queuing network representing the human and methodology for using this network are discussed in light of current efforts to model a steering task.

Original languageEnglish (US)
Pages (from-to)1733-1737
Number of pages5
JournalProceedings of the Human Factors and Ergonomics Society
StatePublished - Dec 1 2001
EventProceedings of the Human Factors and Ergonomics Society 45th Annual Meeting - Minneapolis/St.Paul, MN, United States
Duration: Oct 8 2001Oct 12 2001

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