title: 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.
authors.affiliation: Computing Science Department, 8888 University Dr., Simon Fraser University, Burnaby, BC, Canada V5A 1S6. mktory@cs.sfu.ca
authors.forename: Melanie
authors.initials: M
authors.lastname: Tory
authors.forename: Torsten
authors.initials: T
authors.lastname: Möller
mesh_terms: D000465:Algorithms; D003196:Computer Graphics; D006804:Ergonomics / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods; D016247:Information Storage and Retrieval / Q000379:methods; D009862:Online Systems; D010363:Pattern Recognition, Automated; D012107:Research Design; D012815:Signal Processing, Computer-Assisted; D014584:User-Computer Interface; D014796:Visual Perception / Q000502:physiology*