The DOI matches its Crossref record; 78 of the 78 references it cites were found in a registry or an index.
The Role of Uncertainty, Awareness, and Trust in Visual Analytics
Open accessAbstract
Visual analytics supports humans in generating knowledge from large and often complex datasets. Evidence is collected, collated and cross-linked with our existing knowledge. In the process, a myriad of analytical and visualisation techniques are employed to generate a visual representation of the data. These often introduce their own uncertainties, in addition to the ones inherent in the data, and these propagated and compounded uncertainties can result in impaired decision making. The user's confidence or trust in the results depends on the extent of user's awareness of the underlying uncertainties generated on the system side. This paper unpacks the uncertainties that propagate through visual analytics systems, illustrates how human's perceptual and cognitive biases influence the user's awareness of such uncertainties, and how this affects the user's trust building. The knowledge generation model for visual analytics is used to provide a terminology and framework to discuss the consequences of these aspects in knowledge construction and though examples, machine uncertainty is compared to human trust measures with provenance. Furthermore, guidelines for the design of uncertainty-aware systems are presented that can aid the user in better decision making.
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A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems
Mohseni, S., Zarei, N., & Ragan, E. D. (2018) · arXiv · doi:10.48550/arxiv.1811.11839 · Cited by 783
A Review of User Interface Design for Interactive Machine Learning
Dudley, J. J., & Kristensson, P. O. (2018) · ACM Transactions on Interactive Intelligent Systems · doi:10.1145/3185517 · Cited by 343
Trusting Automation: Designing for Responsivity and Resilience
Chiou, E. K., & Lee, J. D. (2023) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/00187208211009995 · Cited by 301
Kwon, B. C., Choi, M.-J., Kim, J. T., Choi, E., Kim, Y. B., Kwon, S., Sun, J., & Choo, J. (2019) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2018.2865027 · Cited by 294
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Metadata
- Authors
- Sacha, D., Senaratne, H., Kwon, B. C., Ellis, G., & Keim, D. A.
- Venue
- IEEE Transactions on Visualization and Computer Graphics
- Published
- 2016-01-31
- Volume
- 22
- Issue
- 1
- Pages
- 240-249
- ISSN
- 1077-2626 (ISSN-L)
- OpenAlex
- W1914475855
- Cited by
- 267
- References
- 78
- FWCI
- 17.62
- Type
- journal article
- Language
- en
- Open access
- green
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