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

Models of semi-systematic visual search.

Das, Sourav.

FindBook

Google Book

Amazon

博客來

Models of semi-systematic visual search.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Models of semi-systematic visual search./
作者:	Das, Sourav.
面頁冊數:	128 p.
附註:	Adviser: Brian J. Melloy.
Contained By:	Dissertation Abstracts International68-03B.
標題:	Engineering, Industrial. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3256160

Models of semi-systematic visual search.
Das, Sourav.

Models of semi-systematic visual search. - 128 p.

Adviser: Brian J. Melloy.

Thesis (Ph.D.)--Clemson University, 2007.

Visual search is an important aspect of many examination and monitoring tasks. As a result, visual search performance has been the topic of many empirical investigations. These investigations have reported that individual search performance depends on subject factors such as search behavior, which has motivated the development of models of visual search that incorporate this behavior. Search behavior ranges from random to strictly systematic; variation in behavior is commonly assumed to be caused by differences in memory retrieval and search strategy. Accordingly, a mathematical model of semi-systematic search is proposed here that can account for both memory retrieval and other performance shaping factors.Subjects--Topical Terms:

626639
Engineering, Industrial.

Models of semi-systematic visual search.
LDR:02982nam 2200289 a 45 001 963746
005 20110831
008 110831s2007 eng d
035 $a (UMI)AAI3256160
035 $a AAI3256160
040 $a UMI $c UMI
100 1 $a Das, Sourav. $3 1286809
245 1 0 $a Models of semi-systematic visual search.
300 $a 128 p.
500 $a Adviser: Brian J. Melloy.
500 $a Source: Dissertation Abstracts International, Volume: 68-03, Section: B, page: 1860.
502 $a Thesis (Ph.D.)--Clemson University, 2007.
520 $a Visual search is an important aspect of many examination and monitoring tasks. As a result, visual search performance has been the topic of many empirical investigations. These investigations have reported that individual search performance depends on subject factors such as search behavior, which has motivated the development of models of visual search that incorporate this behavior. Search behavior ranges from random to strictly systematic; variation in behavior is commonly assumed to be caused by differences in memory retrieval and search strategy. Accordingly, a mathematical model of semi-systematic search is proposed here that can account for both memory retrieval and other performance shaping factors.
520 $a In visual search task, search can stop after successfully finding a defect or it can stop randomly without finding a defect. This is also semi-systematic search, but its stopping condition is also influenced by a stopping distribution along with the search time distribution. Therefore, next model is introduced to measure performance for this type of search task. Because goal of a search task can be to find a single target or multiple targets, models have also developed to describe search task with multiple target detection.
520 $a All the above three models assume search tasks on homogeneous search field whereas next two models explain searches on heterogeneous search field. This type of search field is built with more than homogeneous search region. Here also the searches within a region are semi-systematic. Fourth model describes search with fixed time limit for each region whereas last model illustrates search with random stopping for an individual region.
520 $a All four models yield both performance and process measures that include accuracy, time to perception, task time and coverage, while avoiding the statistical difficulties inherent to simulations. The random stopping model in homogeneous search field, second model, can also calculate stopping time without a success. Lastly, all proposed models have the capability not only to represent the search behavior of individuals, but to support its assessment as well.
590 $a School code: 0050.
650 4 $a Engineering, Industrial. $3 626639
690 $a 0546
710 2 0 $a Clemson University. $3 997173
773 0 $t Dissertation Abstracts International $g 68-03B.
790 $a 0050
790 1 0 $a Melloy, Brian J., $e advisor
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3256160