A Systematic Review of Cost, Effort, and Load Research in Information Search and Retrieval, 1972–2020

Author:

McGregor Molly1ORCID,Azzopardi Leif1ORCID,Halvey Martin1ORCID

Affiliation:

1. University of Strathclyde

Abstract

During the information search and retrieval (ISR) process, user-system interactions such as submitting queries, examining results, and engaging with information impose some degree of demand on the user’s resources. Within ISR, these demands are well recognised, and numerous studies have demonstrated that the cost, effort, and load (CEL) experienced during the search process are affected by a variety of factors. Despite this recognition, there is no universally accepted definition of the constructs of CEL within the field of ISR. Ultimately, this has led to problems with how these constructs have been interpreted and subsequently measured. This systematic review contributes a synthesis of literature, summarising key findings relating to how researchers have been defining and measuring CEL within ISR over the past 50 years. After manually screening 1,109 articles, we detailed and analysed 91 articles which examine CEL within ISR. The discussion focuses on comparing the similarities and differences between CEL definitions and measures before identifying the limitations of the current state of the nomenclature. Opportunities for future research are also identified. Going forward, we propose a CEL taxonomy that integrates the relationships between CEL and their related constructs, which will help focus and disambiguate future research in this important area.

Funder

European Union’s Horizon 2020 research and innovation programme under Marie Skłodowska-Curie

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Science Applications,General Business, Management and Accounting,Information Systems

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Information search process model based on costs and benefits: a behavioural economics perspective;Journal of Documentation;2024-07-02

2. A systematic review of multidimensional relevance estimation in information retrieval;WIREs Data Mining and Knowledge Discovery;2024-05-07

3. Defining and Measuring Cost, Effort, and Load in Information Retrieval;Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval;2023-07-18

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