東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Modeling human performance using the...

Feyen, Robert Gerald.

FindBook

Google Book

Amazon

博客來

Modeling human performance using the queuing network-model human processor (QN-MHP).

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Modeling human performance using the queuing network-model human processor (QN-MHP)./
作者:	Feyen, Robert Gerald.
面頁冊數:	306 p.
附註:	Chair: Yili Liu.
Contained By:	Dissertation Abstracts International63-02B
標題:	Computer Science -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3042067
ISBN:	0493556451

Modeling human performance using the queuing network-model human processor (QN-MHP).
Feyen, Robert Gerald.

Modeling human performance using the queuing network-model human processor (QN-MHP). - 306 p.

Chair: Yili Liu.

Thesis (Ph.D.)--University of Michigan, 2002.

Predicting human performance (temporally and strategically) in various scenarios has significant implications for understanding human behavior. Researchers who develop approaches to predict human performance attempt to look inside the “black box” of the mind to understand its inner workings. In turn, comprehensive and computational human performance modeling approaches allow the consideration of human capabilities when evaluating product or system design alternatives, improving both the functionality and safety of designs.

ISBN: 0493556451Subjects--Topical Terms:

890869
Computer Science

Modeling human performance using the queuing network-model human processor (QN-MHP).
LDR:03391nam 2200301 a 45 001 936605
005 20110510
008 110510s2002 eng d
020 $a 0493556451
035 $a (UnM)AAI3042067
035 $a AAI3042067
040 $a UnM $c UnM
100 1 $a Feyen, Robert Gerald. $3 1260335
245 1 0 $a Modeling human performance using the queuing network-model human processor (QN-MHP).
300 $a 306 p.
500 $a Chair: Yili Liu.
500 $a Source: Dissertation Abstracts International, Volume: 63-02, Section: B, page: 0963.
502 $a Thesis (Ph.D.)--University of Michigan, 2002.
520 $a Predicting human performance (temporally and strategically) in various scenarios has significant implications for understanding human behavior. Researchers who develop approaches to predict human performance attempt to look inside the “black box” of the mind to understand its inner workings. In turn, comprehensive and computational human performance modeling approaches allow the consideration of human capabilities when evaluating product or system design alternatives, improving both the functionality and safety of designs.
520 $a Many current approaches utilize knowledge-based techniques to model performance but, although they have unique strengths in modeling human behavior, they lack a rigorous mathematical structure. In contrast, mathematical approaches such as queuing network theory are based on a solid mathematical foundation for time- and capacity-based performance analysis, but cannot model how humans choose to act in specific situations. By linking elements of the Model Human Processor (MHP) and GOMS methods to a general queuing network representing human information processing, the Queuing Network - Model Human Processor (QN-MHP) bridges the gap between the knowledge-based and mathematical approaches. Neurophysiological findings provide the basis for the underlying framework of servers while concepts from the MHP, GOMS, and other human performance research guide the logic and timing used to generate responses to stimuli
520 $a To examine the QN-MHP's feasibility, two reaction time tasks, a visual search task, and a steering task were modeled. Each was described using a variant of the GOMS language to dictate procedural flow. After mapping the GOMS description to the QN-MHP, the resulting model was run using commercial discrete-event simulation software. Simple reaction times were consistent with human performance literature, typically ranging from 200 to 250 msecs. Choice reaction times matched times predicted by the Hick-Hyman law (r<super> 2</super> > 0.99); a sensitivity analysis of the model revealing a direct relationship between default parameters used in the QN-MHP and constants used in the law. Three visual search strategies were modeled, each yielding reasonable eye movement and search times as well as patterns consistent with each strategy. Although the QN-MHP simulation indicated flaws in the logic underlying three GOMS task descriptions for steering, the QN-MHP nonetheless produced actions consistent and reasonable for each description
590 $a School code: 0127
650 $a Computer Science $3 890869
650 $a Engineering, Industrial $3 1260336
690 $a 054
690 $a 098
710 2 $a University of Michigan $3 766772
773 0 $t Dissertation Abstracts International $g 63-02B
790 $a 012
790 1 $a Liu, Yili, $e adviso
791 $a Ph.D
792 $a 200
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3042067