Molly McGregor

dblp:286/7017 · DBLP profile ↗
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3ranked-venue papers
3as first author
3since 2021 · last 2024
0000-0002-3329-3829ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 3 · 3 first-author · 3 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 first-author · 1 since 2021
YearPublicationVenuePosition
2024 A Systematic Review of Cost, Effort, and Load Research in Information Search and Retrieval, 1972-2020
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.
Molly McGregor, Leif Azzopardi, Martin Halvey
ACM Trans. Inf. Syst.1
2023 Defining and Measuring Cost, Effort, and Load in Information Retrieval
abstract
The demands imposed on the user during the Information Retrieval (IR) process are well-recognised, with numerous studies highlighting the influence and importance of cost, effort, and load in explaining user search behaviour and experience. Despite this understanding, there exists no universal definitions of these constructs or standardised methods of measuring them within the field of IR. As a result, an open research problem has emerged in relation to how these constructs have been defined, interpreted, and subsequently measured. To address this research problem, the aim of this research is two-fold. Firstly, to establish working definitions and a conceptual framework for defining cost, effort, and load; and secondly, to examine and evaluate existing measures of effort and load within an IR context.
Molly McGregor
SIGIR1
2021 Untangling Cost, Effort, and Load in Information Seeking and Retrieval
abstract
When performing Information Seeking and Retrieval (ISR) activities, people submit queries, examine results, assess documents and engage with the information to make decisions and complete tasks. All these activities come at a "cost'', but within the field of ISR there is no universally accepted definition of the concepts of Cost, Effort and Load (CEL). Instead, researchers have used the same terms interchangeably to describe similar but also different concepts. This lack of shared understanding has led to a disconnect between how these concepts are defined and discussed versus how they are interpreted and measured. Thus, the aim of this paper is two-fold: (i) to review the meaning of CEL related concepts used within ISR, and (ii) to create a shared taxonomy of the concepts relating to CEL in ISR. To seed our analysis, we conducted a literature review, where 397 papers were reviewed, and twenty-six papers that explicitly proposed measures or definitions of CEL were selected for analysis. By drawing upon theory from Psychology and other fields, we present the common definitions of CEL in order to ground our discussion of these concepts in ISR. We also highlight the issues associated with CEL measurement in ISR to help researchers reflect on the validity and precision of existing methods. We hope this perspectives paper serves as a basis for a taxonomy of how CEL concepts are used within ISR- where we have provided a series of working definitions that clearly delineate the different concepts being used, investigated and measured in ISR research.
Molly McGregor, Leif Azzopardi, Martin Halvey
CHIIR1