2024W

• Bachelor Thesis / 193.136 / PR
• Information Visualization / 188.305 / VO
• Seminar Media and Human-Centered Computing Information Visualization, Visual Analytics, and Information Design / 193.063 / SE
• Seminar on Medical Informatics / 188.948 / SE

2025S

• Project in Medical Informatics / 193.025 / PR
• Project in Visual Computing 1 / 193.023 / PR
• Project in Visual Computing 2 / 193.024 / PR
• Project Media and Human-Centered Computing 1 / 193.021 / PR

• Guidance-Enriched Visual Analytics for Temporal Data
  2020 – 2025 / Vienna Science and Technology Fund (WWTF)
  Publications: 136164 / 187702 / 188929 / 192267 / 189927 / 192272 / 193453 / 190245 / 192769 / 193386 / 199344 / 199738 / 136988 / 135846

2024

• A Wizard of Oz Study of Guidance Strategies and Dynamics / Sperrle, F., El-Assady, M., Arleo, A., & Ceneda, D. (2024). A Wizard of Oz Study of Guidance Strategies and Dynamics. IEEE Transactions on Visualization and Computer Graphics. https://doi.org/10.1109/TVCG.2024.3418782
  Projects: DoRIAH (2020–2024) / GuidedVA (2020–2025)
• ConAn: Measuring and Evaluating User Confidence in Visual Data Analysis Under Uncertainty / Musleh, M., Ceneda, D., Ehlers, H., & Raidou, R. G. (2024). ConAn: Measuring and Evaluating User Confidence in Visual Data Analysis Under Uncertainty. Computer Graphics Forum. https://doi.org/10.1111/cgf.15272
• TimeLighting: Guidance-enhanced Exploration of 2D Projections of Temporal Graphs / Filipov, V., Ceneda, D., Archambault, D., & Arleo, A. (2024). TimeLighting: Guidance-enhanced Exploration of 2D Projections of Temporal Graphs. In M. A. Bekos & M. Chimani (Eds.), Graph Drawing and Network Visualization : 31st International Symposium, GD 2023, Isola delle Femmine, Palermo, Italy, September 20–22, 2023, Revised Selected Papers, Part I (pp. 231–245). Springer. https://doi.org/10.34726/5419
  Projects: ArtVis (2022–2025) / DoRIAH (2020–2024) / GuidedVA (2020–2025)
• Persistent Interaction: User-Generated Artefacts in Visual Analytics / Perez Messina, I. B., Ceneda, D., Schetinger, V., & Miksch, S. (2024). Persistent Interaction: User-Generated Artefacts in Visual Analytics. In M. El-Assady & H.-J. Schulz (Eds.), EuroVA 2024 : EuroVis Workshop on Visual Analytics. The Eurographics Association. https://doi.org/10.2312/eurova.20241106
  Download: PDF (210 KB)
  Projects: DoRIAH (2020–2024) / GuidedVA (2020–2025) / KnoVA (2018–2022)
• Guided visual analytics for image selection in time and space / Perez Messina, I. B., Ceneda, D., & Miksch, S. (2024). Guided visual analytics for image selection in time and space. IEEE Transactions on Visualization and Computer Graphics, 30(1), 66–75. https://doi.org/10.1109/TVCG.2023.3326572
  Download: PDF (4.78 MB)
  Projects: DoRIAH (2020–2024) / GuidedVA (2020–2025) / KnoVA (2018–2022)

2023

• A heuristic approach for dual expert/end-user evaluation of guidance in visual analytics / Ceneda, D., Collins, C., El-Assady, M., Miksch, S., Tominski, C., & Arleo, A. (2023). A heuristic approach for dual expert/end-user evaluation of guidance in visual analytics. IEEE Transactions on Visualization and Computer Graphics, 30(1), 997–1007. https://doi.org/10.1109/TVCG.2023.3327152
  Download: PDF (821 KB)
  Projects: DoRIAH (2020–2024) / GuidedVA (2020–2025)
• A Heuristic Approach for Dual Expert/End-User Evaluation of Guidance in Visual Analytics / Ceneda, D., Collins, C., El-Assady, M., Miksch, S., Tominski, C., & Arleo, A. (2023, October 26). A Heuristic Approach for Dual Expert/End-User Evaluation of Guidance in Visual Analytics [Conference Presentation]. IEEE VIS 2023, Melbourne, Australia. http://hdl.handle.net/20.500.12708/190245
  Projects: DoRIAH (2020–2024) / GuidedVA (2020–2025)
• Guided Visual Analytics for Image Selection in Time and Space / Perez Messina, I. B., Ceneda, D., & Miksch, S. (2023, October 25). Guided Visual Analytics for Image Selection in Time and Space [Conference Presentation]. IEEE VIS 2023, Melbourne, Australia.
  Download: PPTX (43.7 MB)
  Projects: DoRIAH (2020–2024) / KnoVA (2018–2022)
• A Heuristic Approach for Dual Expert/End-User Evaluation of Guidance in Visual Analytics / Ceneda, D., Collins, C., El-Assady, M., Miksch, S., Tominski, C., & Arleo, A. (2023). A Heuristic Approach for Dual Expert/End-User Evaluation of Guidance in Visual Analytics. arXiv. https://doi.org/10.34726/5043
  Download: PDF (2.16 MB)
  Projects: DoRIAH (2020–2024) / GuidedVA (2020–2025)
• A Methodology for Task-Driven Guidance Design / Perez Messina, I. B., Ceneda, D., & Miksch, S. (2023). A Methodology for Task-Driven Guidance Design. In M. Angelini & M. El-Assady (Eds.), EuroVA 2023 : EuroVis Workshop on Visual Analytics (pp. 37–42). The Eurographics Association. https://doi.org/10.2312/eurova.20231094
  Download: PDF (1.88 MB)
  Projects: DoRIAH (2020–2024) / GuidedVA (2020–2025) / KnoVA (2018–2022)

2022

• Lotse: A Practical Framework for Guidance in Visual Analytics / Sperrle, F., Ceneda, D., & Mennatallah El-Assady. (2022). Lotse: A Practical Framework for Guidance in Visual Analytics. IEEE Transactions on Visualization and Computer Graphics. https://doi.org/10.1109/TVCG.2022.3209393
  Project: GuidedVA (2020–2025)
• A Typology of Guidance Tasks in Mixed‐Initiative Visual Analytics Environments / Perez Messina, I. B., Ceneda, D., El-Assady, M., Miksch, S., & Sperrle, F. (2022). A Typology of Guidance Tasks in Mixed‐Initiative Visual Analytics Environments. Computer Graphics Forum, 41(3), 465–476. https://doi.org/10.1111/cgf.14555
  Download: PDF (1.02 MB)
  Projects: DoRIAH (2020–2024) / GuidedVA (2020–2025) / KnoVA (2018–2022)
• A Typology of Guidance in Mixed-Initiative Visual Analytics Environments / Perez Messina, I. B., Ceneda, D., & Miksch, S. (2022, June 16). A Typology of Guidance in Mixed-Initiative Visual Analytics Environments [Conference Presentation]. EuroVis 2022, Rom, Italy. http://hdl.handle.net/20.500.12708/148085
  Download: Presentation (8.53 MB)
  Projects: DoRIAH (2020–2024) / KnoVA (2018–2022)
• Show Me Your Face: Towards an Automated Method to Provide Timely Guidance in Visual Analytics / Ceneda, D., Arleo, A., Gschwandtner, T., & Miksch, S. (2022, June 14). Show Me Your Face: Towards an Automated Method to Provide Timely Guidance in Visual Analytics [Conference Presentation]. EuroVis 2022, Rom, Italy. http://hdl.handle.net/20.500.12708/136164
  Download: Presentation Slides (2.48 MB)
  Projects: DoRIAH (2020–2024) / GuidedVA (2020–2025) / KnoVA (2018–2022)
• Perspectives of Visualization Onboarding and Guidance in VA / Stoiber, C., Ceneda, D., Wagner, M., Schetinger, V., Gschwandtner, T., Streit, M., Miksch, S., & Aigner, W. (2022). Perspectives of Visualization Onboarding and Guidance in VA. Visual Informatics, 6(1), 68–83. https://doi.org/10.1016/j.visinf.2022.02.005

2021

• Show Me Your Face: Towards an Automated Method to Provide Timely Guidance in Visual Analytics / Ceneda, D., Arleo, A., Gschwandtner, T., & Miksch, S. (2021). Show Me Your Face: Towards an Automated Method to Provide Timely Guidance in Visual Analytics. IEEE Transactions on Visualization and Computer Graphics, 28(12), 4570–4581. https://doi.org/10.1109/tvcg.2021.3094870

2020

• COVIs: Supporting Temporal Visual Analysis of Covid-19 Events Usable in Data-Driven Journalism / A. Leite, R., Schetinger, V., Ceneda, D., Henz, B., & Miksch, S. (2020). COVIs: Supporting Temporal Visual Analysis of Covid-19 Events Usable in Data-Driven Journalism. In E. Bertini, R. Bujack, C. Collins, W. Dou, A. Lex, & T. Ropinski (Eds.), 2020 IEEE VIsualization Conference (VIS) - short paper (p. 1). IEEE. http://hdl.handle.net/20.500.12708/58208
• Guide Me in Analysis: A Framework for Guidance Designers / Ceneda, D., Andrienko, N., Andrienko, G., Gschwandtner, T., Miksch, S., Piccolotto, N., Schreck, T., Streit, M., Suschnigg, J., & Tominski, C. (2020). Guide Me in Analysis: A Framework for Guidance Designers. Computer Graphics Forum, 39(6), 269–288. https://doi.org/10.1111/cgf.14017
• Guidance-enriched visual analytics / Ceneda, D. (2020). Guidance-enriched visual analytics [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2020.84743
  Download: PDF (5.48 MB)

2019

• A Review of Guidance Approaches in Visual Data Analysis:A Multifocal Perspective / Ceneda, D., Gschwandtner, T., & Miksch, S. (2019). A Review of Guidance Approaches in Visual Data Analysis:A Multifocal Perspective. 21st EG/VGTC Conference on Visualization (EuroVis 2019), Porto, Portugal. http://hdl.handle.net/20.500.12708/86875
• A review of guidance approaches in visual data analysis: A multifocal perspective / Ceneda, D., Gschwandtner, T., & Miksch, S. (2019). A review of guidance approaches in visual data analysis: A multifocal perspective. Computer Graphics Forum, 38(3), 861–879. https://doi.org/10.1111/cgf.13730
• You get by with a little help: The effects of variable guidance degrees on performance and mental state / Ceneda, D., Gschwandtner, T., & Miksch, S. (2019). You get by with a little help: The effects of variable guidance degrees on performance and mental state. Visual Informatics, 3(4), 177–191. https://doi.org/10.1016/j.visinf.2019.10.005

2018

• Guidance or No Guidance? A Decision Tree Can Help / Ceneda, D., Gschwandtner, T., May, T., Miksch, S., Streit, M., & Tominski, C. (2018). Guidance or No Guidance? A Decision Tree Can Help. In C. Tominski & T. von Landesberger (Eds.), EuroVis Workshop on Visual Analytics (EuroVA) (pp. 19–23). Eurographics Digital Library. https://doi.org/10.2312/eurova.20181107
• The Circle Of Thrones: Conveying the Story of Game of Thrones Using Radial Infographics / Filipov, V., Ceneda, D., Koller, M., Arleo, A., & Miksch, S. (2018). The Circle Of Thrones: Conveying the Story of Game of Thrones Using Radial Infographics. VISCOMM 2018, Berlin, Deutschland, EU. http://hdl.handle.net/20.500.12708/86757
• Guided Visual Exploration of Cyclical Patterns in Time-series / Ceneda, D., Gschwandtner, T., Miksch, S., & Tominski, C. (2018). Guided Visual Exploration of Cyclical Patterns in Time-series. In Visualization in Data Science. Visualization in Data Science (VDS at IEEE VIS 2018), Berlin, EU. IEEE Digital Library. http://hdl.handle.net/20.500.12708/57468

2017

• Characterizing Guidance in Visual Analytics / Ceneda, D., Gschwandtner, T., May, T., Miksch, S., Schulz, H.-J., Streit, M., & Tominski, C. (2017). Characterizing Guidance in Visual Analytics. IEEE Transactions on Visualization and Computer Graphics, 23(1), 111–120. https://doi.org/10.1109/tvcg.2016.2598468
• Amending the Characterization of Guidance in Visual Analytics / Ceneda, D., Gschwandtner, T., May, T., Miksch, S., Schulz, H.-J., Streit, M., & Tominski, C. (2017). Amending the Characterization of Guidance in Visual Analytics. arXiv. https://doi.org/10.48550/arXiv.1710.06615

2016

• Characterizing Guidance in Visual Analytics / Ceneda, D., Gschwandtner, T., May, T., Miksch, S., Schulz, H.-J., Streit, M., & Tominski, C. (2016). Characterizing Guidance in Visual Analytics (p. 120). http://hdl.handle.net/20.500.12708/86330
• Guiding the Visualization of Time-oriented Data / Ceneda, D., Aigner, W., Bögl, M., Gschwandtner, T., & Miksch, S. (2016). Guiding the Visualization of Time-oriented Data. In Proceedings of IEEE VIS. IEEE Visualization, Minneapolis, USA, Austria. http://hdl.handle.net/20.500.12708/56578