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Distribution of cognitive load in Web search

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  • Jacek Gwizdka

Abstract

The search task and the system both affect the demand on cognitive resources during information search. In some situations the demands may become too high for a person. This article has a three‐fold goal. First, it presents and critiques methods to measure cognitive load. Second, it explores the distribution of load across search task stages. Finally, it seeks to improve our understanding of factors affecting cognitive load levels in information search. To this end, a controlled Web search experiment with 48 participants was conducted. Interaction logs were used to segment search tasks semiautomatically into task stages. Cognitive load was assessed using a new variant of the dual‐task method. Average cognitive load was found to vary by search task stages. It was significantly higher during query formulation and user description of a relevant document as compared to examining search results and viewing individual documents. Semantic information shown next to the search results lists in one of the studied interfaces was found to decrease mental demands during query formulation and examination of the search results list. These findings demonstrate that changes in dynamic cognitive load can be detected within search tasks. Dynamic assessment of cognitive load is of core interest to information science because it enriches our understanding of cognitive demands imposed on people engaged in the search process by a task and the interactive information retrieval system employed.

Suggested Citation

  • Jacek Gwizdka, 2010. "Distribution of cognitive load in Web search," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(11), pages 2167-2187, November.
    • Handle: RePEc:bla:jamist:v:61:y:2010:i:11:p:2167-2187
    DOI: 10.1002/asi.21385
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    Cited by:

    1. Yan (Mandy) Dang & Yulei (Gavin) Zhang & Susan A. Brown & Hsinchun Chen, 2020. "Examining the impacts of mental workload and task-technology fit on user acceptance of the social media search system," Information Systems Frontiers, Springer, vol. 22(3), pages 697-718, June.
    2. Orland Hoeber & Morgan Harvey & Shaheed Ahmed Dewan Sagar & Matthew Pointon, 2022. "The effects of simulated interruptions on mobile search tasks," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(6), pages 777-796, June.

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