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The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
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Vistrust: a Multidimensional Framework and Empirical Study of Trust in Data Visualizations.
IEEE Transactions on Visualization and Computer Graphics
|November 3, 2023
Summary
This study introduces a multidimensional framework for understanding trust in data visualization, moving beyond single-item measures. Findings highlight the impact of cognitive and affective factors on user trust in science visualizations.
Area of Science:
- Human-Computer Interaction
- Information Visualization
- Cognitive Science
Background:
- Trust is critical for data visualization interpretation and decision-making.
- Existing research often uses simplified measures of trust in visualizations.
- Social science theories offer insights into multidimensional trust formation.
Purpose of the Study:
- To propose a comprehensive, multidimensional conceptualization and operationalization of trust in data visualization.
- To extend existing work by integrating social science trust theories and visualization-specific factors.
- To investigate the role of visual complexity in establishing trust in science visualizations.
Main Methods:
- Developed a two-dimensional framework distinguishing cognitive/affective and visualization/data-specific trust.
- Designed and conducted a large crowd-sourced study to test the framework.
- Quantified the influence of visual complexity on trust in science visualizations.
Main Results:
- Provided empirical support for the proposed multidimensional trust framework.
- Demonstrated the significant impact of cognitive appraisal on visualization trust.
- Highlighted the influence of affective responses and individual differences in building trust.
- Showcased the role of visual complexity in shaping user trust.
Conclusions:
- Trust in data visualization is multidimensional, encompassing cognitive and affective elements.
- A comprehensive framework is necessary for accurately measuring and understanding visualization trust.
- Future research should consider cognitive, affective, and individual factors when assessing trust in visualizations.
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