Open AccessModeling task‐based information seeking on the web: Application of information seeking strategy schema
Author(s) -
Kim Jeonghyun
Publication year - 2007
Publication title -
proceedings of the american society for information science and technology
Language(s) - English
Resource type - Journals
eISSN - 1550-8390
pISSN - 0044-7870
DOI - 10.1002/meet.1450440239
Subject(s) - information seeking , schema (genetic algorithms) , computer science , information seeking behavior , information behavior , task (project management) , information retrieval , information needs , world wide web , human–computer interaction , engineering , systems engineering
The purpose of this study was to understand how task influences information seeking behavior in the digital information environment of the World Wide Web. To present a conceptual model of task‐based information seeking on the Web, an information seeking strategy schema was developed. This schema is based on several behavioral dimensions. The analysis of strategies is based on data collected through an experiment designed to observe users' behaviors. Three tasks were assigned to thirty graduate students. Data were collected by combining search logs and post‐search interviews. The qualitative and quantitative analysis of the data identified fourteen distinct information seeking strategies. The analysis showed significant differences in the frequencies and patterns of information seeking strategies employed between three tasks. The results of the study were discussed to understand task‐based information seeking behavior on the Web.