000 04460nam a22005175i 4500
001 978-3-031-02605-8
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007 cr nn 008mamaa
008 220601s2018 sz | s |||| 0|eng d
020 _a9783031026058
_9978-3-031-02605-8
024 7 _a10.1007/978-3-031-02605-8
_2doi
050 4 _aQA76.9.I52
072 7 _aUYZF
_2bicssc
072 7 _aMAT013000
_2bisacsh
072 7 _aUYZF
_2thema
082 0 4 _a001.4226
_223
100 1 _aScholtz, Jean.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981601
245 1 0 _aUser-Centered Evaluation of Visual Analytics
_h[electronic resource] /
_cby Jean Scholtz.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXI, 71 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Visualization,
_x2159-5178
505 0 _aAcknowledgments -- Introduction -- Analysis -- Analytic Methods -- What is Visual Analytics and Why is it Needed -- User-Centered Evaluation -- Evaluation Needs for Visual Analytics -- Current Examples of Evaluation of Visual Analytics Systems -- Trends in Visual Analytics Research and Development -- Conclusions -- References -- Author Biography.
520 _aVisual analytics has come a long way since its inception in 2005. The amount of data in the world today has increased significantly and experts in many domains are struggling to make sense of their data. Visual analytics is helping them conduct their analyses. While software developers have worked for many years to develop software that helps users do their tasks, this task is becoming more and more onerous, as understanding the needs and data used by expert users requires more than some simple usability testing during the development process. The need for a user-centered evaluation process was envisioned in Illuminating the Path, the seminal work on visual analytics by James Thomas and Kristin Cook in 2005. We have learned over the intervening years that not only will user-centered evaluation help software developers to turn out products that have more utility, the evaluation efforts can also help point out the direction for future research efforts. This book describes the efforts that go into analysis, including critical thinking, sensemaking, and various analytics techniques learned from the intelligence community. Support for these components is needed in order to provide the most utility for the expert users. There are a good number of techniques for evaluating software that hasbeen developed within the human-computer interaction (HCI) community. While some of these techniques can be used as is, others require modifications. These too are described in the book. An essential point to stress is that the users of the domains for which visual analytics tools are being designed need to be involved in the process. The work they do and the obstacles in their current processes need to be understood in order to determine both the types of evaluations needed and the metrics to use in these evaluations. At this point in time, very few published efforts describe more than informal evaluations. The purpose of this book is to help readers understand the need for moreuser-centered evaluations to drive both better-designed products and to define areas for future research. Hopefully readers will view this work as an exciting and creative effort and will join the community involved in these efforts.
650 0 _aInformation visualization.
_914255
650 0 _aData structures (Computer science).
_98188
650 0 _aInformation theory.
_914256
650 0 _aData mining.
_93907
650 1 4 _aData and Information Visualization.
_933848
650 2 4 _aData Structures and Information Theory.
_931923
650 2 4 _aData Mining and Knowledge Discovery.
_981602
710 2 _aSpringerLink (Online service)
_981603
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031014772
776 0 8 _iPrinted edition:
_z9783031037337
830 0 _aSynthesis Lectures on Visualization,
_x2159-5178
_981604
856 4 0 _uhttps://doi.org/10.1007/978-3-031-02605-8
912 _aZDB-2-SXSC
942 _cEBK
999 _c85207
_d85207