Describing and predicting information-seeking behavior on the Web

  • Authors:
  • Jeonghyun Kim

  • Affiliations:
  • School of Library and Information Management, Emporia State University, 1200 Commercial Street, Emporia, KS 66801

  • Venue:
  • Journal of the American Society for Information Science and Technology
  • Year:
  • 2009

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Abstract

This study focuses on the task as a fundamental factor in the context of information seeking. The purpose of the study is to characterize kinds of tasks and to examine how different kinds of task give rise to different kinds of information-seeking behavior on the Web. For this, a model for information-seeking behavior was used employing dimensions of information-seeking strategies (ISS), which are based on several behavioral dimensions. The analysis of strategies was based on data collected through an experiment designed to observe users' behaviors. Three tasks were assigned to 30 graduate students and data were collected using questionnaires, search logs, and interviews. The qualitative and quantitative analysis of the data identified 14 distinct information-seeking strategies. The analysis showed significant differences in the frequencies and patterns of ISS employed between three tasks. The results of the study are intended to facilitate the development of task-based information-seeking models and to further suggest Web information system designs that support the user's diverse tasks. © 2009 Wiley Periodicals, Inc.