L. Cibulski, Evanthia Dimara, Setia Hermawati, J. Kohlhammer
{"title":"Supporting Domain Characterization in Visualization Design Studies With the Critical Decision Method","authors":"L. Cibulski, Evanthia Dimara, Setia Hermawati, J. Kohlhammer","doi":"10.1109/VisGuides57787.2022.00007","DOIUrl":"https://doi.org/10.1109/VisGuides57787.2022.00007","url":null,"abstract":"While domain characterization has become an integral part of visualization design studies, methodological prescriptions are rare. An underrepresented aspect in existing approaches is domain expertise. Knowledge elicitation methods from cognitive science might help but have not yet received much attention for domain characterization. We propose the Critical Decision Method (CDM) to the visualization domain to provide descriptive steps that open up a knowledge-based perspective on domain characterization. The CDM uses retrospective interviews to reveal expert judgment involved in a challenging situation. We apply it to study three domain problems, reflect on our practical experience, and discuss its relevance to domain characterization in visualization research. We found the CDM’s realism and subjective nature to be well suited for eliciting cognitive aspects of high-level task performance. Our insights might guide other researchers in conducting domain characterization with a focus on domain knowledge and cognition. With our work, we hope to contribute to the portfolio of meaningful methods used to inform visualization design and to stimulate discussions regarding prescriptive steps for domain characterization.","PeriodicalId":188844,"journal":{"name":"2022 IEEE 4th Workshop on Visualization Guidelines in Research, Design, and Education (VisGuides)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127845081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"How should we design violin plots?","authors":"E. Molina, L. Viale, P. Vázquez","doi":"10.1109/VisGuides57787.2022.00006","DOIUrl":"https://doi.org/10.1109/VisGuides57787.2022.00006","url":null,"abstract":"One way to illustrate distributions of samples is through the use of violin plots. The original design is a combination of boxplot and density plot mirrored and plot around the boxplot. However, there are other designs in literature. Although they seem a powerful way to illustrate distributions, the fact that they encode distributions makes them difficult to read. Users have problems comparing two different distributions, and certain basic statistics such as the mean can be difficult to estimate properly. To get more insights on how people interprets violin plots, we have carried out an experiment to analyze how the different configurations affect judgments over values encoded in those plots.","PeriodicalId":188844,"journal":{"name":"2022 IEEE 4th Workshop on Visualization Guidelines in Research, Design, and Education (VisGuides)","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134169251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mennatallah El-Assady, Rebecca Kehlbeck, Yannick Metz, U. Schlegel, R. Sevastjanova, F. Sperrle, Thilo Spinner
{"title":"Semantic Color Mapping: A Pipeline for Assigning Meaningful Colors to Text","authors":"Mennatallah El-Assady, Rebecca Kehlbeck, Yannick Metz, U. Schlegel, R. Sevastjanova, F. Sperrle, Thilo Spinner","doi":"10.1109/VisGuides57787.2022.00008","DOIUrl":"https://doi.org/10.1109/VisGuides57787.2022.00008","url":null,"abstract":"Current visual text analytics applications do not regard color assignment as a prominent design consideration. We argue that there is a need for applying meaningful colors to text, enhancing comprehension and comparability. Hence, in this paper, we present a guideline to facilitate the choice of colors in text visualizations. The semantic color mapping pipeline is derived from literature and experiences in text visualization design and sums up design considerations, lessons learned, and best practices. The proposed pipeline starts by extracting labeled data from raw text, choosing an aggregation level to create an appropriate vector representation, then defining the unit of analysis to project the data into a low-dimensional space, and finally assigning colors based on the selected color space. We argue that applying such a pipeline enhances the understanding of attribute relations in text visualizations, as confirmed by two applications.","PeriodicalId":188844,"journal":{"name":"2022 IEEE 4th Workshop on Visualization Guidelines in Research, Design, and Education (VisGuides)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115544691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jonathan C. Roberts, B. Bach, Magdalena Boucher, Fanny Chevalier, A. Diehl, Uta Hinrichs, Samuel Huron, Andy Kirk, S. Knudsen, Isabel Meirelles, Rebecca Noonan, L. Pelchmann, F. Rajabiyazdi, C. Stoiber
{"title":"Reflections and Considerations on Running Creative Visualization Learning Activities","authors":"Jonathan C. Roberts, B. Bach, Magdalena Boucher, Fanny Chevalier, A. Diehl, Uta Hinrichs, Samuel Huron, Andy Kirk, S. Knudsen, Isabel Meirelles, Rebecca Noonan, L. Pelchmann, F. Rajabiyazdi, C. Stoiber","doi":"10.1109/VisGuides57787.2022.00009","DOIUrl":"https://doi.org/10.1109/VisGuides57787.2022.00009","url":null,"abstract":"This paper draws together nine strategies for creative visualization activities. Teaching visualization often involves running learning activities where students perform tasks that directly support one or more topics that the teacher wishes to address in the lesson. As a group of educators and researchers in visualization, we reflect on our learning experiences. Our activities and experiences range from dividing the tasks into smaller parts, considering different learning materials, to encouraging debate. With this paper, our hope is that we can encourage, inspire, and guide other educators with visualization activities. Our reflections provide an initial starting point of methods and strategies to craft creative visualisation learning activities, and provide a foundation for developing best practices in visualization education.","PeriodicalId":188844,"journal":{"name":"2022 IEEE 4th Workshop on Visualization Guidelines in Research, Design, and Education (VisGuides)","volume":"570 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132959685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}