Designing Visualization Widgets for Tangible Data Exploration: A Systematic Review

Haonan Yao, Lingyun Yu, Lijie Yao*

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

Abstract

We present a systematic review on tasks, interactions, and visualization widgets (refer to tangible entities that are used to accomplish data exploration tasks through specific interactions) in the context of tangible data exploration. Tangible widgets have been shown to
reduce cognitive load, enable more natural interactions, and support the completion of complex data exploration tasks. Yet, the field lacks a structured understanding of how task types, interaction methods, and widget designs are coordinated, limiting the ability to identify recurring design patterns and opportunities for innovation. To address this gap, we conduct a systematic review to analyze existing work and characterize the current design of data exploration tasks, interactions, and tangible visualization widgets. We next reflect based on our findings and propose a research agenda to inform the development of a future widget design toolkit for tangible data exploration. Our systematic review and supplemental materials are available at physicalviswidget.github.io and osf.io/vjw5e/.
Original languageEnglish
Title of host publication2025 IEEE Visualization & Visual Analytics (IEEE VIS)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
ISBN (Print)To appear
DOIs
Publication statusPublished - 6 Nov 2025
Event2025 IEEE VIS: Visualization & Visual Analytics - Vienna, Austria
Duration: 2 Nov 20257 Nov 2025
https://ieeevis.org/year/2025/welcome

Conference

Conference2025 IEEE VIS: Visualization & Visual Analytics
Abbreviated titleIEEE VIS
Country/TerritoryAustria
CityVienna
Period2/11/257/11/25
Internet address

Keywords

  • Visualization widget
  • Tangible interaction
  • Data exploration

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