2021W

• Information Visualization / 188.305 / VO
• Project in Media and Human-Centered Computing 2 Information Visualization, Visual Analytics, and Information Design / 193.066 / PR
• Project in Media and Human-Centered Computing Information Information Visualization, Visual Analytics, and Information Design / 193.065 / PR
• Project in Medical Informatics / 188.947 / PR
• Project in Visual Computing 1 / 193.104 / PR
• Project in Visual Computing 2 / 193.105 / PR
• Seminar Media and Human-Centered Computing Information Visualization, Visual Analytics, and Information Design / 193.063 / SE
• Seminar on Medical Informatics / 188.948 / SE

• Guidance-Enriched Visual Analytics for Temporal Data
  2020 – 2024 / Vienna Science and Technology Fund (WWFT)

• Show Me Your Face: Towards an Automated Method to Provide Timely Guidance in Visual Analytics / D. Ceneda, A. Arleo, T. Gschwandtner, S. Miksch / IEEE Transactions on Visualization and Computer Graphics, 1 (2021), 1 pages
• COVIs: Supporting Temporal Visual Analysis of Covid-19 Events Usable in Data-Driven Journalism / Roger A. Leite, V. Schetinger, D. Ceneda, B. Henz, S. Miksch / Talk: 2020 IEEE VIsualization Conference (VIS), Utah, USA; 2020-10-25 - 2020-10-30; in: "2020 IEEE VIsualization Conference (VIS) - short paper", E. Bertini, R. Bujack, C. Collins, W. Dou, A. Lex, T. Ropinski (ed.); IEEE, VIS 2020 (2020), 00; 1
• Guidance-Enriched Visual Analytics / Doctoral Thesis by D. Ceneda / Supervisor, Reviewer: S. Miksch, C. Tominski, C. Collins, T. Dwyer; Institute of Visual Computing & Human-Centered Technology, 2020; oral examination: 2020-10-23
• Guide Me in Analysis: A Framework for Guidance Designers / D. Ceneda, N. Andrienko, G. Andrienko, T. Gschwandtner, S. Miksch, N. Piccolotto, T. Schreck, M Streit, J. Suschnigg, C. Tominski / Computer Graphics Forum, 39 (2020), 6; 269 - 288
• A Review of Guidance Approaches in Visual Data Analysis:A Multifocal Perspective / D. Ceneda, T. Gschwandtner, S. Miksch / Poster: 21st EG/VGTC Conference on Visualization (EuroVis 2019), Porto, Portugal; 2019-06-03 - 2019-06-07
• You get by with a little help: The effects of variable guidance degrees on performance and mental state / D. Ceneda, T. Gschwandtner, S. Miksch / Visual Informatics, 3 (2019), 4; 177 - 191
• A review of guidance approaches in visual data analysis: A multifocal perspective / D. Ceneda, T. Gschwandtner, S. Miksch / Computer Graphics Forum, 38 (2019), 3; 861 - 879
• Guided Visual Exploration of Cyclical Patterns in Time-series / D. Ceneda, T. Gschwandtner, S. Miksch, C. Tominski / Poster: Visualization in Data Science (VDS at IEEE VIS 2018), Berlin; 2018-10-22; in: "Visualization in Data Science", IEEE Digital Library, (2018)
• The Circle Of Thrones: Conveying the Story of Game of Thrones Using Radial Infographics / V. Filipov, D. Ceneda, M. Koller, A. Arleo, S. Miksch / Poster: VISCOMM 2018, Berlin, Deutschland; 2018-10-21
• Guidance or No Guidance? A Decision Tree Can Help / D. Ceneda, T. Gschwandtner, T. May, S. Miksch, M Streit, C. Tominski / Poster: 9th International EuroVis Workshop on Visual Analytics (EuroVA), Brünn (invited); 2018-06-05; in: "EuroVA: International Workshop on Visual Analytics", Eurographics Digital Library, EuroVA18 (2018), ISBN: 978-3-03868-064-2; 19 - 23
• Characterizing Guidance in Visual Analytics / D. Ceneda, T. Gschwandtner, T. May, S. Miksch, H.J. Schulz, M Streit, C. Tominski / IEEE Transactions on Visualization and Computer Graphics, 23 (2017), 1; 111 - 120
• Amending the Characterization of Guidance in Visual Analytics / D. Ceneda, T. Gschwandtner, T. May, S. Miksch, H.J. Schulz, M Streit, C. Tominski / ArXiv, Human-computer Interaction (2017), arXiv:1710.06615; 4 pages
• Guiding the Visualization of Time-oriented Data / D. Ceneda, W. Aigner, M. Bögl, T. Gschwandtner, S. Miksch / Poster: IEEE Visualization, Baltimore, MD; 2016-10-23 - 2016-10-28; in: "Proceedings of IEEE VIS", (2016)
• Characterizing Guidance in Visual Analytics / D. Ceneda, T. Gschwandtner, T. May, S. Miksch, H.J. Schulz, M Streit, C. Tominski / Poster: IEEE Conference on Visual Analytics Science and Technology (IEEE VAST), Baltimore, MD; 2016-10-23 - 2016-10-28