Exploring search behaviour across expertise levels: Graphical vs. form-based interfaces

Introduction. This study explores how graphical and form-based search interfaces influence query reformulation strategies and search performance across two user cohorts: search professionals and master’s students. Method. Using a lab-based user study, participants completed controlled search tasks within the digital health domain, with their interactions analysed in terms of query construction, reformulation tactics, and alignment with expert-crafted gold standard queries. Results. Results reveal distinct patterns between the cohorts, with professionals demonstrating greater precision and efficiency, particularly when using the form-based interface, while students engaged more extensively with the graphical interface, performing more frequent and substantial reformulations. Specification (SPE) and generalisation (GEN) emerged as the most common reformulation strategies, with the graphical interface encouraging broader exploration but also leading to higher occurrences of inappropriate keyword use, particularly among students. Query quality, measured by precision, recall, and F-measure, showed that while form-based systems yielded higher precision, graphical interfaces achieved better recall, offering a balanced trade-off between these metrics. Conclusions. The findings highlight the importance of tailoring search interfaces to meet the needs of different user groups and suggest opportunities for adaptive interface designs that combine the strengths of both systems. Future research should investigate the role of user intentions in query reformulation and the potential for interfaces to provide context-sensitive support.

Authors

Institutions

Publication Details

Journal
Information Research an international electronic journal
Published
2026-01-15
DOI
https://doi.org/10.47989/ir31146729
Primary Topic
Information Retrieval and Search Behavior
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring search behaviour across expertise levels: Graphical vs. form-based interfaces

Tony Russell‐Rose, Tanja Svarre
Information Research an international electronic journal
Information Retrieval and Search Behavior
article

Exploring search behaviour across expertise levels: Graphical vs. form-based interfaces

Tony Russell‐Rose, Tanja Svarre
article en

Abstract

Introduction. This study explores how graphical and form-based search interfaces influence query reformulation strategies and search performance across two user cohorts: search professionals and master’s students. Method. Using a lab-based user study, participants completed controlled search tasks within the digital health domain, with their interactions analysed in terms of query construction, reformulation tactics, and alignment with expert-crafted gold standard queries. Results. Results reveal distinct patterns between the cohorts, with professionals demonstrating greater precision and efficiency, particularly when using the form-based interface, while students engaged more extensively with the graphical interface, performing more frequent and substantial reformulations. Specification (SPE) and generalisation (GEN) emerged as the most common reformulation strategies, with the graphical interface encouraging broader exploration but also leading to higher occurrences of inappropriate keyword use, particularly among students. Query quality, measured by precision, recall, and F-measure, showed that while form-based systems yielded higher precision, graphical interfaces achieved better recall, offering a balanced trade-off between these metrics. Conclusions. The findings highlight the importance of tailoring search interfaces to meet the needs of different user groups and suggest opportunities for adaptive interface designs that combine the strengths of both systems. Future research should investigate the role of user intentions in query reformulation and the potential for interfaces to provide context-sensitive support.

Information Research an international electronic journalVol. 31(1)
City, University of London (GB), Aalborg University (DK)
Quality Education
Openalex Percentile: Top 92%
Information Retrieval and Search Behavior
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.