Analyzing Patterns in User&#039;s Information Seeking Behavior on the Web (웹 이용자의 정보탐색행위 패턴 분석)

Kim Sung-Jin (김성진)

doi:10.3743/KOSIM.2006.23.4.197

Analyzing Patterns in User's Information Seeking Behavior on the Web

Journal of the Korean Society for Information Management
Abbr : JKOSIM
2006, 23(4), pp.197~214
DOI : 10.3743/KOSIM.2006.23.4.197
Publisher : 한국정보관리학회
Research Area : Interdisciplinary Studies > Library and Information Science
Received : November 24, 2006
Accepted : November 24, 2006
Published : December 30, 2006

Kim Sung-Jin ¹

¹인하공업전문대학

Accredited

ABSTRACT

A Web-based environment has very various and heterogeneous users. The emphasis on their individual characteristics may make it hard to reach the general understanding of how they seek and use information on the Web. The purpose of this study is to find common patterns in information seeking behavior on the Web by analyzing a series of cognitive movement of users in interaction with the Web. Based on Dervin’s concept and Timeline interview methodology, this study collected 37 Web experience descriptions from 21 respondents, which consisted of 302 steps. Findings addressed that Web information seeking behavior can be classified into seven types: Starting, Searching, Viewing/Browsing, Examining/Comparing, Finding/Compiling, Deciding/Acting, and Ending. Movement paths in the seven-type information seeking process showed that user’s interaction with the Web was repeated and circulated at the Viewing/Browsing step and that information seeking behavior on the Web was multi-directional and non-linear.

KEYWORDS

information seeking, information seeking behavior, World Wide Web, WWW, Internet, user studies, cognitive movement, Sense-Making

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* References for papers published after 2023 are currently being built.

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This paper was written with support from the National Research Foundation of Korea.

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Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

Analyzing Patterns in User's Information Seeking Behavior on the Web

ABSTRACT

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Citation status

* References for papers published after 2023 are currently being built.

Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

Analyzing Patterns in User's Information Seeking Behavior on the Web

ABSTRACT

KEYWORDS

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* References for papers published after 2023 are currently being built.