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Pausing behavior of end-users in onl...

Huang, Mu-hsuan.

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Pausing behavior of end-users in online searching.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Pausing behavior of end-users in online searching./
Author:	Huang, Mu-hsuan.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 1992,
Description:	270 p.
Notes:	Source: Dissertations Abstracts International, Volume: 54-12, Section: A.
Contained By:	Dissertations Abstracts International54-12A.
Subject:	Library science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9315656

Pausing behavior of end-users in online searching.
Huang, Mu-hsuan.

Pausing behavior of end-users in online searching. - Ann Arbor : ProQuest Dissertations & Theses, 1992 - 270 p.

Source: Dissertations Abstracts International, Volume: 54-12, Section: A.

Thesis (Ph.D.)--University of Maryland, College Park, 1992.

This item must not be sold to any third party vendors.

This research used an information processing approach to analyze the behavior of end-users in searching online bibliographic databases, emphasizing their pausing behavior. It is based on viewing the search as a series of actions and pauses (rests). The end-users are 41 students and 3 faculty. After instruction, subjects searched throughout the semester, doing 79 searches. Nineteen did multiple searches. Pausing behavior was related to time as a measure of growing experience. Six hypotheses were supported by the results of ANOVA and t-tests: The searchers paused less frequently and for shorter periods as they progressed through searches. With more experience and practice, searchers moved more smoothly online, and the ratio of pausing to online time decreased over time. Over a series of searches or cycles within long searches, searchers gradually began to chunk more information between pauses, both in amount of time and in number of elements. Pauses related to syntax decreased over time. This study identified 250 reasons for pausing (e.g. to verify a set number, to choose appropriate term operator, to consider alternative terms) and 6 types of searches on the basis of pausing behavior. The six types of searches were highly associated with search fluency and the construction of a mental model. Types 1 and 2 describe gradations of fluent searches and Types 3 to 6 describe various slow searches. Type 1 and 2 searches were conducted by subjects who had more knowledge about the search topic and more experience in the search language and in CD-Rom searching. They generated fewer pauses and chunked more information online. They paused for shorter times and had a lower hesitation rate. The other types were conducted by subjects with less experience in the search language, in CD-Rom searching, and in the search topic. They made more syntax-related pauses (especially in the beginning of the searches), generated more and longer pauses, chunked !ess information online, and had a higher hesitation rate. Finally, as searchers gained more experience, they increased their search proficiency and became more fluent online. The changes of search level in multiple searches showed most searchers moved toward greater fluency.Subjects--Topical Terms:

539284
Library science.

Pausing behavior of end-users in online searching.
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035 $a (MiAaPQ)AAI9315656
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100 1 $a Huang, Mu-hsuan. $3 3434419
245 1 0 $a Pausing behavior of end-users in online searching.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 1992
300 $a 270 p.
500 $a Source: Dissertations Abstracts International, Volume: 54-12, Section: A.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: White, Marilyn D.
502 $a Thesis (Ph.D.)--University of Maryland, College Park, 1992.
506 $a This item must not be sold to any third party vendors.
506 $a This item must not be added to any third party search indexes.
520 $a This research used an information processing approach to analyze the behavior of end-users in searching online bibliographic databases, emphasizing their pausing behavior. It is based on viewing the search as a series of actions and pauses (rests). The end-users are 41 students and 3 faculty. After instruction, subjects searched throughout the semester, doing 79 searches. Nineteen did multiple searches. Pausing behavior was related to time as a measure of growing experience. Six hypotheses were supported by the results of ANOVA and t-tests: The searchers paused less frequently and for shorter periods as they progressed through searches. With more experience and practice, searchers moved more smoothly online, and the ratio of pausing to online time decreased over time. Over a series of searches or cycles within long searches, searchers gradually began to chunk more information between pauses, both in amount of time and in number of elements. Pauses related to syntax decreased over time. This study identified 250 reasons for pausing (e.g. to verify a set number, to choose appropriate term operator, to consider alternative terms) and 6 types of searches on the basis of pausing behavior. The six types of searches were highly associated with search fluency and the construction of a mental model. Types 1 and 2 describe gradations of fluent searches and Types 3 to 6 describe various slow searches. Type 1 and 2 searches were conducted by subjects who had more knowledge about the search topic and more experience in the search language and in CD-Rom searching. They generated fewer pauses and chunked more information online. They paused for shorter times and had a lower hesitation rate. The other types were conducted by subjects with less experience in the search language, in CD-Rom searching, and in the search topic. They made more syntax-related pauses (especially in the beginning of the searches), generated more and longer pauses, chunked !ess information online, and had a higher hesitation rate. Finally, as searchers gained more experience, they increased their search proficiency and became more fluent online. The changes of search level in multiple searches showed most searchers moved toward greater fluency.
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650 4 $a Educational software. $3 3422449
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710 2 $a University of Maryland, College Park. $3 657686
773 0 $t Dissertations Abstracts International $g 54-12A.
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856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9315656