Literature DB >> 15382699

Human factors in visualization research.

Melanie Tory1, Torsten Möller.   

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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Year:  2004        PMID: 15382699     DOI: 10.1109/TVCG.2004.1260759

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  13 in total

Review 1.  Content-based medical image retrieval: a survey of applications to multidimensional and multimodality data.

Authors:  Ashnil Kumar; Jinman Kim; Weidong Cai; Michael Fulham; Dagan Feng
Journal:  J Digit Imaging       Date:  2013-12       Impact factor: 4.056

2.  Designing user interfaces to enhance human interpretation of medical content-based image retrieval: application to PET-CT images.

Authors:  Ashnil Kumar; Jinman Kim; Lei Bi; Michael Fulham; Dagan Feng
Journal:  Int J Comput Assist Radiol Surg       Date:  2013-05-07       Impact factor: 2.924

3.  A survey among Brazilian thoracic surgeons about the use of preoperative 2D and 3D images.

Authors:  Federico Enrique Garcia Cipriano; Livia Arcêncio; Lycio Umeda Dessotte; Alfredo José Rodrigues; Walter Villela de Andrade Vicente; Paulo Roberto Barbosa Évora
Journal:  J Thorac Dis       Date:  2016-08       Impact factor: 2.895

4.  Validation of SplitVectors Encoding for Quantitative Visualization of Large-Magnitude-Range Vector Fields.

Authors:  Garnett W Bryant; Wesley Griffin; Judith E Terrill
Journal:  IEEE Trans Vis Comput Graph       Date:  2016-03-09       Impact factor: 4.579

5.  Activity-Centered Domain Characterization for Problem-Driven Scientific Visualization.

Authors:  G Elisabeta Marai
Journal:  IEEE Trans Vis Comput Graph       Date:  2017-08-29       Impact factor: 4.579

6.  ENCORE: A Visualization Tool for Insight into Circadian Omics.

Authors:  Hannah De Los Santos; Kristin P Bennett; Jennifer M Hurley
Journal:  ACM BCB       Date:  2019-09

7.  Towards an easier creation of three-dimensional data for embedding into scholarly 3D PDF (Portable Document Format) files.

Authors:  Axel Newe
Journal:  PeerJ       Date:  2015-03-03       Impact factor: 2.984

8.  Application and evaluation of interactive 3D PDF for presenting and sharing planning results for liver surgery in clinical routine.

Authors:  Axel Newe; Linda Becker; Andrea Schenk
Journal:  PLoS One       Date:  2014-12-31       Impact factor: 3.240

9.  Knowledge Discovery and interactive Data Mining in Bioinformatics--State-of-the-Art, future challenges and research directions.

Authors:  Andreas Holzinger; Matthias Dehmer; Igor Jurisica
Journal:  BMC Bioinformatics       Date:  2014-05-16       Impact factor: 3.169

10.  Analysis of biomedical data with multilevel glyphs.

Authors:  Heimo Müller; Robert Reihs; Kurt Zatloukal; Andreas Holzinger
Journal:  BMC Bioinformatics       Date:  2014-05-16       Impact factor: 3.169

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