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Empirically measuring soft knowledge in visualization

Abstract:

In this paper, we present an empirical study designed to evaluate the hypothesis that humans’ soft knowledge can enhance the cost-benefit ratio of a visualization process by reducing the potential distortion. In particular, we focused on the impact of three classes of soft knowledge: (i) knowledge about application contexts, (ii) knowledge about the patterns to be observed (i.e., in relation to visualization task), and (iii) knowledge about statistical measures. We mapped these classes into t...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1111/cgf.13169

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Oxford e-Research Centre
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Oxford e-Research Centre
Role:
Author
Publisher:
John Wiley & Sons Ltd
Journal:
Computer Graphics Forum More from this journal
Volume:
36
Issue:
3
Pages:
73–85
Publication date:
2017-07-04
Acceptance date:
2017-04-10
DOI:
EISSN:
1467-8659
ISSN:
0167-7055
Pubs id:
pubs:690235
UUID:
uuid:f2f7dc7a-e926-4b9b-aee7-ddff6a20e608
Local pid:
pubs:690235
Source identifiers:
690235
Deposit date:
2017-04-20

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