ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2404.12952
35
1

What We Augment When We Augment Visualizations: A Design Elicitation Study of How We Visually Express Data Relationships

19 April 2024
G. Guo
J. Stasko
Alex Endert
ArXivPDFHTML
Abstract

Visual augmentations are commonly added to charts and graphs in order to convey richer and more nuanced information about relationships in the data. However, many design spaces proposed for categorizing augmentations were defined in a top-down manner, based on expert heuristics or from surveys of published visualizations. Less well understood are user preferences and intuitions when designing augmentations. In this paper, we address the gap by conducting a design elicitation study, where study participants were asked to draw the different ways they would visually express the meaning of ten different prompts. We obtained 364 drawings from the study, and identified the emergent categories of augmentations used by participants. The contributions of this paper are: (i) a user-defined design space of visualization augmentations, (ii) a repository of hand drawn augmentations made by study participants, and (iii) a discussion of insights into participant considerations, and connections between our study and existing design guidelines.

View on arXiv
Comments on this paper