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Systematic inspection of information visualization systems

Published: 23 May 2006 Publication History

Abstract

Recently, several information visualization (IV) tools have been produced and there is a growing number of commercial products. To contribute to a widespread adoption of IV tools, it is indispensable that these tools are effective, efficient and satisfying for the intended users. Various evaluation techniques can be considered and applied at the different phases of the IV software life-cycle. In this paper we propose an inspection technique based on the use of evaluation patterns, called Abstract Tasks, that take into account the specific nature of information visualization systems.

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  • (2019)Towards Secure Mobile Learning. Visual Discovery of Malware Patterns in Android Apps2019 23rd International Conference Information Visualisation (IV)10.1109/IV.2019.00068(364-369)Online publication date: Jul-2019
  • (2018)An Instrument for Evaluating the Quality of Data Visualizations2018 22nd International Conference Information Visualisation (IV)10.1109/iV.2018.00038(169-174)Online publication date: Jul-2018
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cover image ACM Other conferences
BELIV '06: Proceedings of the 2006 AVI workshop on BEyond time and errors: novel evaluation methods for information visualization
May 2006
89 pages
ISBN:1595935622
DOI:10.1145/1168149
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 23 May 2006

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Cited By

View all
  • (2022)Visual Discovery of Malware Patterns in Android AppsIntegrating Artificial Intelligence and Visualization for Visual Knowledge Discovery10.1007/978-3-030-93119-3_17(437-457)Online publication date: 5-Jun-2022
  • (2019)Towards Secure Mobile Learning. Visual Discovery of Malware Patterns in Android Apps2019 23rd International Conference Information Visualisation (IV)10.1109/IV.2019.00068(364-369)Online publication date: Jul-2019
  • (2018)An Instrument for Evaluating the Quality of Data Visualizations2018 22nd International Conference Information Visualisation (IV)10.1109/iV.2018.00038(169-174)Online publication date: Jul-2018
  • (2013)User Studies in Visualization: A Reflection on MethodsHandbook of Human Centric Visualization10.1007/978-1-4614-7485-2_16(411-426)Online publication date: 25-Jun-2013
  • (2010)Adoption information visualization and task analysis in R&D laboratory work processThe 3rd International Conference on Information Sciences and Interaction Sciences10.1109/ICICIS.2010.5534780(470-475)Online publication date: Jun-2010
  • (2008)Using multi-dimensional in-depth long-term case studies for information visualization evaluationProceedings of the 2008 Workshop on BEyond time and errors: novel evaLuation methods for Information Visualization10.1145/1377966.1377978(1-7)Online publication date: 5-Apr-2008
  • (2008)Analyzing a socio-technical visualization tool using usability inspection methodsProceedings of the 2008 IEEE Symposium on Visual Languages and Human-Centric Computing10.1109/VLHCC.2008.4639062(78-81)Online publication date: 15-Sep-2008

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