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)|
|Number of pages||5|
|Journal||Proceedings of the Human Factors and Ergonomics Society|
|State||Published - Dec 1 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