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 language | English (US) |
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Pages (from-to) | 1733-1737 |
Number of pages | 5 |
Journal | Proceedings of the Human Factors and Ergonomics Society |
State | Published - 2001 |
Event | Proceedings of the Human Factors and Ergonomics Society 45th Annual Meeting - Minneapolis/St.Paul, MN, United States Duration: Oct 8 2001 → Oct 12 2001 |