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Task Topic Knowledge vs. Background Domain Knowledge: Impact of Two Types of Knowledge on User Search Performance

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Advances in Information Systems and Technologies

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 206))

Abstract

Domain knowledge affects search success and behaviors but different aspects of domain knowledge, i.e., topic knowledge and background knowledge, has not normally been distinguished. We were interested in finding out if the two would have different effects on search performance for typical research search tasks, and we report empirical evidence from a user study. Participants’ topic knowledge and background knowledge were measured separately as different aspects of domain knowledge. Our results indicate that topic knowledge and background knowledge impact search performance at different levels. While topic knowledge was significantly correlated with performance measures for individual tasks, background knowledge was significantly correlated with performance at more general levels, over multiple task sessions. This finding furthers our understanding of the role of domain knowledge in search activities.

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Correspondence to Xiangmin Zhang .

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Zhang, X., Liu, J., Cole, M. (2013). Task Topic Knowledge vs. Background Domain Knowledge: Impact of Two Types of Knowledge on User Search Performance. In: Rocha, Á., Correia, A., Wilson, T., Stroetmann, K. (eds) Advances in Information Systems and Technologies. Advances in Intelligent Systems and Computing, vol 206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36981-0_17

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  • DOI: https://doi.org/10.1007/978-3-642-36981-0_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36980-3

  • Online ISBN: 978-3-642-36981-0

  • eBook Packages: EngineeringEngineering (R0)

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