Z: Why vis?

Node: Visualizations are ambiguous

Descriptor Ambiguity
Argumentative standpoint Design
Description

Visual representations do not have exactly one well defined way of interpretation, but can be interpreted in different (often contrary) ways.

Last updated 3 years, 3 months ago (June 22, 2018) by Streeb, Dirk

Tags


Outgoing Links (3)

Incoming Links (1)

Publications (7)

H. Wainer 1984 How to Display Data Badly 0 0 1 6 0
S. M. Kosslyn 1989 Understanding Charts and Graphs 0 1 0 13 0
H. C. Purchase et al. 2008 Theoretical Foundations of Information Visualization 0 0 1 9 0
P. Vickers, J. Faith and N. Rossiter 2013 Understanding Visualization: A Formal Approach Using Category Theory and Semiotics 0 0 1 3 0
G. L. Kindlmann and C. E. Scheidegger 2014 An Algebraic Process for Visualization Design 0 0 2 13 0
Y. Li, D. Li and K. Zhang 2015 Metaphoric Transfer Effect in Information Visualization Using Glyphs 0 0 1 4 5
B. Tversky 2015 On Abstraction and Ambiguity 0 0 1 17 0
Authors Year Title Codings Coded entities
Open Started Completed Nodes Links

Codings (8)

Streeb, Dirk: S. M. Kosslyn [1989]: Understanding Charts and Graphs doi:10.1002/acp.2350030302 - 09.07.20 06:59 (-) Negative One or more sentences p. 185 Because of the way the scheme was designed, it should be easily used to describe any unambiguous chart or graph in a straightforward way. When the system cannot be easily applied, this indicates that something is wrong.
Streeb, Dirk: S. M. Kosslyn [1989]: Understanding Charts and Graphs doi:10.1002/acp.2350030302 - 09.07.20 06:59 (--) Limiting negative One or more sentences p. 192 In the ideal case a chart or graph will be absolutely unambiguous, with its intended interpretation being transparent. One way to think about this sort of unambiguity is in terms of mappings between symbols and concepts. If the display is treated as a complex symbol, then we want a unique mapping between it and one’s interpretation of it. Goodman (1968) has characterized systems that have the property of unique bidirectional mapping between a symbol and concept as being ‘notational’.
Streeb, Dirk: H. C. Purchase et al. [2008]: Theoretical Foundations of Information Visualization doi:10.1007/978-3-540-70956-5_3 - 12.03.18 10:35 (-) Negative One or more sentences p. 57 Relationships between records are problematic due to the ambiguous continuity of records that intersect on one or more axes
Streeb, Dirk: H. Wainer [1984]: How to Display Data Badly doi:10.1080/00031305.1984.10483186 - 02.03.18 12:48 (-) Negative One or more sentences p. 145 We have already seen how extra dimensions can cause ambiguity (Is it length or area or volume?).
Streeb, Dirk: P. Vickers, J. Faith and N. Rossiter [2013]: Understanding Visualization: A Formal Approach Using Category Theory and Semiotics doi:10.1109/TVCG.2012.294 - 26.02.18 13:51 (+-) Ambivalent One or more subsections sec. 5.1.4 Sometimes this is a valuable property, for example, in representations that aggregate or filter large or complex data sets into simpler forms. In other situations, it is less desirable.
Streeb, Dirk: Y. Li, D. Li and K. Zhang [2015]: Metaphoric Transfer Effect in Information Visualization Using Glyphs doi:10.1145/2801040.2801062 - 24.02.18 14:46 (-) Negative One or more subsections sec. 4.4.5
Streeb, Dirk: G. L. Kindlmann and C. E. Scheidegger [2014]: An Algebraic Process for Visualization Design doi:10.1109/TVCG.2014.2346325 - 25.01.18 08:56 (-) Negative
Streeb, Dirk: B. Tversky [2015]: On Abstraction and Ambiguity doi:10.1007/978-94-017-9297-4_13 - 24.01.18 12:35 (+) Positive
Coding Affirmation Extent Reference Quote

Comments (0)