A study of drag‐and‐drop query refinement and query history visualization for mobile exploratory search

Abstract When undertaking complex search scenarios, the underlying information need cannot be satisfied by finding a single optimal resource; instead, searchers need to engage in exploratory search processes to find multiple resources by iteratively revising and reformulation their queries. This process of query refinement is particularly challenging when using a mobile device, where typing is difficult. Furthermore, in mobile search contexts interruptions can lead to searchers losing track of what they were doing. To address these challenges, we designed a public digital library search interface for mobile devices that includes two novel features: drag‐and‐drop query refinement and query history visualization. To assess the value of this interface compared to a typical baseline, we conducted a controlled laboratory study with 32 participants that included pursuing complex search scenarios, being interrupted in the midst of the search, and resuming the search after the interruption. While participants took more time, they generated longer queries and reported positive subjective opinions about the usability of the exploratory search and task resumption features, along with a greater increase in certainty. These findings show the value of leveraging new touch‐based interaction mechanisms within mobile search contexts, and the benefits that visualization can bring to supporting search task resumption.

Authors

Institutions

Publication Details

Journal
Journal of the Association for Information Science and Technology
Published
2024-12-30
DOI
https://doi.org/10.1002/asi.24977
Citations
3
Primary Topic
Advanced Text Analysis Techniques
Type
article
Field-Weighted Citation Impact
1.04

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A study of drag‐and‐drop query refinement and query history visualization for mobile exploratory search

Miriam Boon, Orland Hoeber, Dale Storie, Mohammad Hasan Payandeh et al.
3 citations
Journal of the Association for Information Science and Technology
Advanced Text Analysis Techniques
1.04
article

A study of drag‐and‐drop query refinement and query history visualization for mobile exploratory search

Miriam Boon, Orland Hoeber, Dale Storie, Mohammad Hasan Payandeh, Veronica Ramshaw
article en
3 citations

Abstract

Abstract When undertaking complex search scenarios, the underlying information need cannot be satisfied by finding a single optimal resource; instead, searchers need to engage in exploratory search processes to find multiple resources by iteratively revising and reformulation their queries. This process of query refinement is particularly challenging when using a mobile device, where typing is difficult. Furthermore, in mobile search contexts interruptions can lead to searchers losing track of what they were doing. To address these challenges, we designed a public digital library search interface for mobile devices that includes two novel features: drag‐and‐drop query refinement and query history visualization. To assess the value of this interface compared to a typical baseline, we conducted a controlled laboratory study with 32 participants that included pursuing complex search scenarios, being interrupted in the midst of the search, and resuming the search after the interruption. While participants took more time, they generated longer queries and reported positive subjective opinions about the usability of the exploratory search and task resumption features, along with a greater increase in certainty. These findings show the value of leveraging new touch‐based interaction mechanisms within mobile search contexts, and the benefits that visualization can bring to supporting search task resumption.

Journal of the Association for Information Science and TechnologyVol. 76(6)
University of Regina (CA)
Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 18%
Advanced Text Analysis Techniques
1.04
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.