Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/36181
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dc.contributor.authorAERTS, Jan-
dc.contributor.authorPEETERS, Jannes-
dc.contributor.authorBOT, Jelmer-
dc.contributor.authorKAFETZAKI, Danai-
dc.contributor.authorLamqaddam, Houda-
dc.date.accessioned2021-12-14T11:09:46Z-
dc.date.available2021-12-14T11:09:46Z-
dc.date.issued2021-
dc.date.submitted2021-12-06T15:20:49Z-
dc.identifier.citationIEEE computer graphics and applications, 41 (6) , p. 15 -24-
dc.identifier.issn0272-1716-
dc.identifier.urihttp://hdl.handle.net/1942/36181-
dc.description.abstractIn this paper, we report on our experiences of running visual design workshops within the context of a Master's level data visualization course, in a remote setting. These workshops aim to teach students to explore visual design space for data by creating and discussing hand-drawn sketches. We describe the technical setup employed, the different parts of the workshop, how the actual sessions were run, and to what extent the remote version can substitute for in-person sessions. In general, the visual designs created by the students as well as the feedback provided by them indicate that the setup described here can be a feasible replacement for in-person visual design workshops.-
dc.language.isoen-
dc.publisher-
dc.rightsThis work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/-
dc.subject.otherVisualization-
dc.subject.otherData visualization-
dc.subject.otherEducation-
dc.subject.otherData science-
dc.subject.otherCollaboration-
dc.subject.otherLicenses-
dc.subject.otherConferences-
dc.titleRemote Instruction for Data Visualization Design - a Report from the Trenches-
dc.typeJournal Contribution-
dc.identifier.epage24-
dc.identifier.issue6-
dc.identifier.spage15-
dc.identifier.volume41-
local.format.pages11-
local.bibliographicCitation.jcatA1-
local.publisher.place10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1314 USA-
dc.relation.referencesJoerg Meyer, Jim Thomas, Stephan Diehl, Brian Fisher, and Daniel A Keim. From visualization to visually enabled reasoning. In Dagstuhl Follow-Ups, volume 1. Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik, 2010. Jonathan C Roberts, Chris Headleand, and Panagiotis D Ritsos. Sketching designs using the five designsheet methodology. IEEE transactions on visualization and computer graphics, 22(1):419–428, 2015. Alex Faickney Osborn. Applied imagination; principles and procedures of creative problem-solving: principles and procedures of creative problem-solving. Scribner, 1963. Panos Markopoulos, Jean-Bernard Martens, Julian Malins, Karin Coninx, and Aggelos Liapis. Collaboration in creative design: methods and tools. Springer, 2016. Karen D Grant. Dimensions of collaborative work. Human Computer Interaction Consortium, pages 7–11, 2001. Rui Faria, Deborah Triant, Alvaro PerdomoSabogal, Bert Overduin, Christoph Bleidorn, Clara Isabel Bermudez Santana, David Langenberger, Giovanni Marco Dall’Olio, Henrike Indrischek, Jan Aerts, et al. Introducing evolutionary biologists to the analysis of big data: guidelines to organize extended bioinformatics training courses. Evolution: Education and Outreach, 11(1):1–10, 2018. Leo Yu-Ho Lo, Yao Ming, and Huamin Qu. Learning vis tools: teaching data visualization tutorials. In 2019 IEEE Visualization Conference (VIS), pages 11–15. IEEE, 2019. David G Jansson and Steven M Smith. Design fixation. Design studies, 12(1):3–11, 1991. Robert J Youmans and Thomaz Arciszewski. Design fixation: Classifications and modern methods of prevention. AI EDAM, 28(2):129–137, 2014. Beth A Hennessey. The social psychology of creativity. Scandinavian journal of educational research, 47(3):253–271, 2003. Steven M Smith and Julie Linsey. A three-pronged approach for overcoming design fixation. The Journal of Creative Behavior, 45(2):83–91, 2011. Andy Warr and Eamonn O’Neill. Understanding design as a social creative process. In Proceedings of the 5th Conference on Creativity & Cognition, pages 118–127, 2005. Tamara Munzner. Visualization analysis and design. CRC press, 2014. Dave Gray, Sunni Brown, and James Macanufo. Gamestorming: A playbook for innovators, rulebreakers, and changemakers. ” O’Reilly Media, Inc.”, 2010. William JR Longabaugh. Combing the hairball with biofabric: a new approach for visualization of large networks. BMC bioinformatics, 13(1):1–16, 2012. Robert F Eberle. Developing imagination through scamper. Journal of Creative Behavior, 1972.-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.identifier.doi10.1109/MCG.2021.3116042-
dc.identifier.pmid34582348-
dc.identifier.isi000728925900010-
dc.identifier.eissn1558-1756-
local.provider.typePubMed-
local.uhasselt.uhpubyes-
local.uhasselt.internationalno-
item.validationecoom 2022-
item.contributorAERTS, Jan-
item.contributorPEETERS, Jannes-
item.contributorBOT, Jelmer-
item.contributorKAFETZAKI, Danai-
item.contributorLamqaddam, Houda-
item.accessRightsOpen Access-
item.fullcitationAERTS, Jan; PEETERS, Jannes; BOT, Jelmer; KAFETZAKI, Danai & Lamqaddam, Houda (2021) Remote Instruction for Data Visualization Design - a Report from the Trenches. In: IEEE computer graphics and applications, 41 (6) , p. 15 -24.-
item.fulltextWith Fulltext-
crisitem.journal.issn0272-1716-
crisitem.journal.eissn1558-1756-
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