| 
 | 
 | 
 | 
| LEADER | 
01000caa a22002652c 4500 | 
| 001 | 
NLM363633685 | 
| 003 | 
DE-627 | 
| 005 | 
20250305091131.0 | 
| 007 | 
cr uuu---uuuuu | 
| 008 | 
231226s2024    xx |||||o     00| ||eng c | 
| 024 | 
7 | 
  | 
|a 10.1109/TVCG.2023.3326590 
  |2 doi 
   | 
| 028 | 
5 | 
2 | 
|a pubmed25n1211.xml 
   | 
| 035 | 
  | 
  | 
|a (DE-627)NLM363633685 
   | 
| 035 | 
  | 
  | 
|a (NLM)37871066 
   | 
| 040 | 
  | 
  | 
|a DE-627 
  |b ger 
  |c DE-627 
  |e rakwb 
   | 
| 041 | 
  | 
  | 
|a eng 
   | 
| 100 | 
1 | 
  | 
|a Fygenson, Racquel 
  |e verfasserin 
  |4 aut 
   | 
| 245 | 
1 | 
4 | 
|a The Arrangement of Marks Impacts Afforded Messages 
  |b Ordering, Partitioning, Spacing, and Coloring in Bar Charts 
   | 
| 264 | 
  | 
1 | 
|c 2024 
   | 
| 336 | 
  | 
  | 
|a Text 
  |b txt 
  |2 rdacontent 
   | 
| 337 | 
  | 
  | 
|a ƒaComputermedien 
  |b c 
  |2 rdamedia 
   | 
| 338 | 
  | 
  | 
|a ƒa Online-Ressource 
  |b cr 
  |2 rdacarrier 
   | 
| 500 | 
  | 
  | 
|a Date Revised 27.12.2023 
   | 
| 500 | 
  | 
  | 
|a published: Print-Electronic 
   | 
| 500 | 
  | 
  | 
|a Citation Status PubMed-not-MEDLINE 
   | 
| 520 | 
  | 
  | 
|a Data visualizations present a massive number of potential messages to an observer. One might notice that one group's average is larger than another's, or that a difference in values is smaller than a difference between two others, or any of a combinatorial explosion of other possibilities. The message that a viewer tends to notice - the message that a visualization 'affords' - is strongly affected by how values are arranged in a chart, e.g., how the values are colored or positioned. Although understanding the mapping between a chart's arrangement and what viewers tend to notice is critical for creating guidelines and recommendation systems, current empirical work is insufficient to lay out clear rules. We present a set of empirical evaluations of how different messages-including ranking, grouping, and part-to-whole relationships-are afforded by variations in ordering, partitioning, spacing, and coloring of values, within the ubiquitous case study of bar graphs. In doing so, we introduce a quantitative method that is easily scalable, reviewable, and replicable, laying groundwork for further investigation of the effects of arrangement on message affordances across other visualizations and tasks. Pre-registration and all supplemental materials are available at https://osf.io/np3q7 and https://osf.io/bvy95, respectively 
   | 
| 650 | 
  | 
4 | 
|a Journal Article 
   | 
| 700 | 
1 | 
  | 
|a Franconeri, Steven 
  |e verfasserin 
  |4 aut 
   | 
| 700 | 
1 | 
  | 
|a Bertini, Enrico 
  |e verfasserin 
  |4 aut 
   | 
| 773 | 
0 | 
8 | 
|i Enthalten in 
  |t IEEE transactions on visualization and computer graphics 
  |d 1996 
  |g 30(2024), 1 vom: 23. Jan., Seite 1008-1018 
  |w (DE-627)NLM098269445 
  |x 1941-0506 
  |7 nnas 
   | 
| 773 | 
1 | 
8 | 
|g volume:30 
  |g year:2024 
  |g number:1 
  |g day:23 
  |g month:01 
  |g pages:1008-1018 
   | 
| 856 | 
4 | 
0 | 
|u http://dx.doi.org/10.1109/TVCG.2023.3326590 
  |3 Volltext 
   | 
| 912 | 
  | 
  | 
|a GBV_USEFLAG_A 
   | 
| 912 | 
  | 
  | 
|a SYSFLAG_A 
   | 
| 912 | 
  | 
  | 
|a GBV_NLM 
   | 
| 912 | 
  | 
  | 
|a GBV_ILN_350 
   | 
| 951 | 
  | 
  | 
|a AR 
   | 
| 952 | 
  | 
  | 
|d 30 
  |j 2024 
  |e 1 
  |b 23 
  |c 01 
  |h 1008-1018 
   |