Human factors in visualization research. Tory, M & Moller, T IEEE Transactions on Visualization and Computer Graphics, 10(1):72--84, IEEE Computer Society, 2004.
doi  abstract   bibtex   
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, we aim 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.
@article{Tory2004,
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, we aim 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.},
author = {Tory, M and Moller, T},
doi = {10.1109/TVCG.2004.1260759},
file = {:C$\backslash$:/Data/Mendeley Desktop/Tory2004-Human factors in visualization research.pdf:pdf},
issn = {10772626},
journal = {IEEE Transactions on Visualization and Computer Graphics},
keywords = {algorithms,automated,computer assisted,computer assisted methods,computer graphics,human engineering,human engineering methods,image interpretation,imaging,information storage retrieval,information storage retrieval methods,online systems,pattern recognition,research,research methods,signal processing,three dimensional,three dimensional methods,user computer interface,visual perception,visual perception physiology},
number = {1},
pages = {72--84},
publisher = {IEEE Computer Society},
title = {{Human factors in visualization research}},
volume = {10},
year = {2004}
}

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