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An exploration of the relationships between work task and interactive information search behavior

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  • Yuelin Li
  • Nicholas J. Belkin

Abstract

This study explores the relationships between work task and interactive information search behavior. Work task was conceptualized based on a faceted classification of task. An experiment was conducted with six work‐task types and simulated work‐task situations assigned to 24 participants. The results indicate that users present different behavior patterns to approach useful information for different work tasks: They select information systems to search based on the work tasks at hand, different work tasks motivate different types of search tasks, and different facets controlled in the study play different roles in shaping users' interactive information search behavior. The results provide empirical evidence to support the view that work tasks and search tasks play different roles in a user's interaction with information systems and that work task should be considered as a multifaceted variable. The findings provide a possibility to make predictions of a user's information search behavior from his or her work task, and vice versa. Thus, this study sheds light on task‐based information seeking and search, and has implications in adaptive information retrieval (IR) and personalization of IR.

Suggested Citation

  • Yuelin Li & Nicholas J. Belkin, 2010. "An exploration of the relationships between work task and interactive information search behavior," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(9), pages 1771-1789, September.
    • Handle: RePEc:bla:jamist:v:61:y:2010:i:9:p:1771-1789
    DOI: 10.1002/asi.21359
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    Cited by:

    1. Barbara Mirel & Jennifer Steiner Tonks & Jean Song & Fan Meng & Weijian Xuan & Rafiqa Ameziane, 2013. "Studying PubMed usages in the field for complex problem solving: Implications for tool design," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(5), pages 874-892, May.
    2. Iris Xie & Rakesh Babu & Hyun Seung Lee & Shengang Wang & Tae Hee Lee, 2021. "Orientation tactics and associated factors in the digital library environment: Comparison between blind and sighted users," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(8), pages 995-1010, August.
    3. Yuqian Zhang, 2023. "Using Google Trends to track the global interest in International Financial Reporting Standards: Evidence from big data," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 30(2), pages 87-100, April.
    4. Yan Chen & Grace Jeon & Yong-Mi Kim, 2014. "A day without a search engine: an experimental study of online and offline searches," Experimental Economics, Springer;Economic Science Association, vol. 17(4), pages 512-536, December.

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