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