Building and Eroding: Exogenous and Endogenous Factors that Influence Subjective Trust in Visualization

R. Jordan Crouser, Syrine Matoussi, Lan Kung, Saugat Pandey, Oen G. McKinley, Alvitta Ottley

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

Abstract

Trust is a subjective yet fundamental component of human-computer interaction, and is a determining factor in shaping the efficacy of data visualizations. Prior research has identified five dimensions of trust assessment in visualizations (credibility, clarity, reliability, familiarity, and confidence), and observed that these dimensions tend to vary predictably along with certain features of the visualization being evaluated. This raises a further question: how do the design features driving viewers' trust assessment vary with the characteristics of the viewers themselves? By reanalyzing data from these studies through the lens of individual differences, we build a more detailed map of the relationships between design features, individual characteristics, and trust behaviors. In particular, we model the distinct contributions of endogenous design features (such as visualization type, or the use of color) and exogenous user characteristics (such as visualization literacy), as well as the interactions between them. We then use these findings to make recommendations for individualized and adaptive visualization design.

Original languageEnglish
Title of host publicationProceedings - 2024 IEEE Visualization Conference - Short Papers, VIS 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages306-310
Number of pages5
ISBN (Electronic)9798350354850
DOIs
StatePublished - 2024
Event2024 IEEE Visualization and Visual Analytics Conference, VIS 2024 - St. Pete Beach, United States
Duration: Oct 13 2024Oct 18 2024

Publication series

NameProceedings - 2024 IEEE Visualization Conference - Short Papers, VIS 2024

Conference

Conference2024 IEEE Visualization and Visual Analytics Conference, VIS 2024
Country/TerritoryUnited States
CitySt. Pete Beach
Period10/13/2410/18/24

Keywords

  • data visualization
  • individual differences
  • personality
  • Trust

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