The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Human factors in visualization research
Abstract
Visualization can provide valuable assistance for data analysis and decision making tasks. However, how people perceive and interact with a visualization tool can strongly influence their understanding of the data as well as the system's usefulness. Human factors therefore contribute significantly to the visualization process and should play an important role in the design and evaluation of visualization tools. Several research initiatives have begun to explore human factors in visualization, particularly in perception-based design. Nonetheless, visualization work involving human factors is in its infancy, and many potentially promising areas have yet to be explored. Therefore, this paper aims to 1) review known methodology for doing human factors research, with specific emphasis on visualization, 2) review current human factors research in visualization to provide a basis for future investigation, and 3) identify promising areas for future research.
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Cites
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Furnas, G. W. (1986) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/22627.22342 · Cited by 890
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A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems
Mohseni, S., Zarei, N., & Ragan, E. D. (2021) · ACM Transactions on Interactive Intelligent Systems · doi:10.1145/3387166 · Cited by 785
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
Toward measuring visualization insight
North, C. (2006) · IEEE Computer Graphics and Applications · doi:10.1109/mcg.2006.70 · Cited by 456
Visualizing big data with augmented and virtual reality: Challenges and research agenda
Olshannikova, E., Ometov, A., Koucheryavy, Y., & Olsson, T. (2015) · Journal of Big Data · doi:10.1186/s40537-015-0031-2 · Cited by 315
A Critical Reflection on Visualization Research: Where Do Decision Making Tasks Hide?
Dimara, E., & Stasko, J. (2022) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2021.3114813 · Cited by 60
Metadata
- Authors
- Tory, M., & Moller, T.
- Venue
- IEEE Transactions on Visualization and Computer Graphics
- Published
- 2004-01
- Volume
- 10
- Issue
- 1
- Pages
- 72-84
- ISSN
- 1077-2626 (ISSN-L)
- OpenAlex
- W2159996805
- Cited by
- 420
- References
- 45
- FWCI
- 18.68
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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