000K  utf8
1100  $c2019
1500  eng
2050  urn:nbn:de:gbv:8:1-zs-00000357-a8
2051  10.21941/kcss/2019/4
3000  Schulze, Christoph Daniel
4000  Text in Diagrams$dChallenges to and Opportunities of Automatic Layout.$hChristian-Albrechts-Universität zu Kiel  [Schulze, Christoph Daniel]
4030  Kiel$nChristian-Albrechts-Universität zu Kiel
4209  Visual programming languages based on node-link diagrams are supposedly easy to use and to understand. This is only true, however, if the diagram elements are properly placed — a tedious and time-consuming process if done manually. Automatic graph layout algorithms alleviate users from that burden. Since even visual languages usually cannot make do without text, it follows that layout algorithms need to properly support textual labels. That is what this work is all about. We start by examining how enough space can be reserved for textual labels to be properly placed without overlaps.We then look at how users place comments in diagrams to establish relations to diagram elements. Our aim is to infer those, in order to take them into account during layout. We finally look at the negative implications of too much text: large diagrams and too much information. Different labelmanagement strategies dynamically change the text of labels, thus changing their size and, optionally, the amount of text displayed. All of the techniques are evaluated according to aesthetic criteria, and most are also validated through user studies.
4950  https://doi.org/10.21941/kcss/2019/4$xR$3Volltext$534
4950  https://nbn-resolving.org/urn:nbn:de:gbv:8:1-zs-00000357-a8$xR$3Volltext$534
4961  https://macau.uni-kiel.de/receive/macau_mods_00002274
5051  004
5550  data flow diagrams
5550  graph drawing
5550  hci
5550  sequence diagrams