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

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.

Authors

Publication Details

Published
2024-10-13
DOI
https://doi.org/10.1109/vis55277.2024.00069
Citations
3
Primary Topic
Virtual Reality Applications and Impacts
Type
article
Field-Weighted Citation Impact
1.12

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

L. Kung, Saugat Pandey, Alvitta Ottley, R. Jordan Crouser et al.
3 citations
Virtual Reality Applications and Impacts
1.12
article

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

L. Kung, Saugat Pandey, Alvitta Ottley, R. Jordan Crouser, Oen G. McKinley, Syrine Matoussi
article en
3 citations

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.

National Science Foundation
Sustainable cities and communities, Climate action
Openalex Percentile: Top 21%
Virtual Reality Applications and Impacts
1.12
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Building and Eroding: Exogenous and Endogenous Factors that Influence Subjective Trust in Visualization — L. Kung, Saugat Pandey, et al. · (2024) | TGRS Research Map | TGRS