Interactive Visual Facets to Support Fluid Exploratory Search
Chen He, Luana Micallef, Bar{\i}\c{s} Serim, Tung Vuong, Tuukka, Ruotsalo, and Giulio Jacucci

TL;DR
This paper introduces interactive visual facets (IVF) to enhance fluid exploratory search by visualizing information facets, enabling rapid transitions, and supporting user comprehension and control in dynamic search scenarios.
Contribution
The paper proposes a novel IVF tool with a filter-swipe technique, addressing design requirements for fluid, exploratory search interactions not fully supported by existing interfaces.
Findings
User study shows IVF improves search fluidity and user satisfaction.
Filter-swipe technique enables efficient item intersection exploration.
Participants preferred IVF's dynamic suggestions over traditional filtering.
Abstract
Exploratory search starts with ill-defined goals and involves browsing, learning, and formulating new targets for search. To fluidly support such dynamic search behaviours, we focus on devising interactive visual facets (IVF), visualising information facets to support user comprehension and control of the information space. To do this, we reviewed existing faceted search interfaces and derived two design requirements (DR) that have not been fully addressed to support fluid interactions in exploratory search. We then exemplified the requirements through devising an IVF tool, which coordinates a linear and a categorical facet representing the distribution and summarisation of items, respectively, and providing context for faceted exploration (DR1). To support rapid transitions between search criteria (DR2), the tool introduces a novel design concept of using facets to select items without…
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Taxonomy
TopicsData Visualization and Analytics · Mobile Crowdsensing and Crowdsourcing · Information Retrieval and Search Behavior
