Data Visualizations: An Integrative Literature Review of Empirical Studies Across Disciplines

Gubala, Carolyn; Melonçon, Lisa

doi:10.1109/procomm53155.2022.00024

Cited by 1 publication

(1 citation statement)

References 46 publications

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“…While explorations into various perceptual, cognitive, and psychosocial aspects of data visualization have resulted in a wealth of empirical knowledge and design guidelines [MW17, GM22, FPS*21], this research has notably overlooked older adults. Studies that center this demographic as primary end users are remarkably sparse [BCC*16, LTD16], despite the prevalent use of data visualizations to assist older adults in monitoring and managing various aspects of their health [LTD16], physical activities (e.g., [FBI*18, GRP16, KAY*19, TBSMC16]), and making data‐informed decisions (e.g., [GROC12, GGRG09, RAGR*13, PCBLP16]).…”

Section: Introductionmentioning

confidence: 99%

GerontoVis: Data Visualization at the Confluence of Aging

While,

Crouser,

Sarvghad

2024

Computer Graphics Forum

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Despite the explosive growth of the aging population worldwide, older adults have been largely overlooked by visualization research. This paper is a critical reflection on the underrepresentation of older adults in visualization research. We discuss why investigating visualization at the intersection of aging matters, why older adults may have been omitted from sample populations in visualization research, how aging may affect visualization use, and how this differs from traditional accessibility research. To encourage further discussion and novel scholarship in this area, we introduce GerontoVis, a term which encapsulates research and practice of data visualization design that primarily focuses on older adults. By introducing this new subfield of visualization research, we hope to shine a spotlight on this growing user population and stimulate innovation toward the development of aging‐aware visualization tools. We offer a birds‐eye view of the GerontoVis landscape, explore some of its unique challenges, and identify promising areas for future research.

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