PAPER PRESENTATION
Worth 40% of final gradeFormat
A 12-minute presentation to the class + 5 minutes of questions about a research paper in infovis.
Recall that we talk about (interactive) information visualization. You are strongly encouraged to include (dynamic) visuals in your presentation material (e.g. images, charts, diagrams, video, animation) to make your discourse more concrete, and your slides more engaging. If you are presenting works about interactive/dynamic infovis, include video segments, and why not a live demo if the application is available!
Grading
The paper presentation contributes 40% of the final grade.
The following criteria will be used for marking:
• Content (10 of the 40)
• Organization (10 of the 40)
• Delivery (10 of the 40)
• Quality of visual support (10 of the 40)
See the evaluation grid for details.
Guidelines and example presentations
Guidelines
See the ACM CHI guide to a successful presentation (ignore the details specific to the conference setup).
Videos of good presentations
Below is a selection of good presentations of visualization research papers (presentations delivered by the researchers during the IEEE VIS conference).• Untangling Euler Diagrams (presentation, paper)
• Rethinking Map Legends with Visualizations (presentation, paper)
• SignalLens: Focus+Context Applied to Electronic Time Series (presentation, paper)
• eSeeTrack-Visualizing Sequential Fixation Patterns (presentation, paper)
Good presentation material
Example presentation material (slides) that were selected for the high quality at the ACM CHI conference (more general conference on Human-Computer Interaction) can be found at: https://chi2016.acm.org/wp/example-presentations/.Schedule
Last updated on 20 February 2018.
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30 Jan. 2018:
- 1. Catherine Solis: The attraction effect in Information Visualization (Dimara et al., TVCG 2016)
- 2. Xinyuan Lily Li: Edge compression techniques for visualization of dense directed graphs (Dwyer et al., Infovis 2013)
- 3. Vivek Gunasekaran Spatial augmented reality—A tool for 3D data visualization (Thomas et al., 3DVis 2014)
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6 Feb. 2018
- 1. Joey Chakraborty: The Hologram in My Hand: How Effective is Interactive Exploration of 3D Visualizations in Immersive Tangible Augmented Reality? (Bach et al., TVCG 2017)
- 2. Coby Viner: RSAT matrix-clustering: dynamic exploration and redundancy reduction of transcription factor binding motif collections. Nucleic Acids Research, 45(13), e119.
- 3. Nicholas Giamblanco: DocuBurst: Visualizing Document Content Using Language Structure (Collins et al., Eurovis 2009)
- 4. Yu Ting Chen: Online Python Tutor: Embeddable Web-Based Program Visualization for CS Education (Guo, SIGCSE 2013)
- 5. Alexandre Luiz Brisighello Filho: Voyager: Exploratory Analysis via Faceted Browsing of Visualization Recommendations (Wongsuphasawat et al., TVCG 2016)
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6 Mar. 2018
- 1. Sasa Milic: Assessing the Effect of Visualizations on Bayesian Reasoning through Crowdsourcing (Micallef et al., TVCG 2012)
- 2. Charles-Olivier Dufresne Camaro: Colorgorical: Creating discriminable and preferable color palettes for information visualization (Gramazio et al., TVCG 2017)
- 3. Alexandra Poole: Affective Color in Visualization (Bartram et al., CHI 2017)
- 4. Niel Chah: Opportunities and Challenges for Data Physicalization (Jansen et al., CHI 2015)
- 5. Bryon Leung: Design of Information Visualization of Ubiquitous Environment for a Wearable Display (Obayashi et al., LNCS 2004)
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13 Mar. 2018
- 1. Kasra Safari: LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks (Strobelt et al., TVCG 2017)
- 2. Benett Axtell: Timelines Revisited: A Design Space and Considerations for Expressive Storytelling (Brehmer et al., TVCG 2016)
- 3. Fahimeh Rajabiyazdi: Useful Junk? The Effects of Visual Embellishment on Comprehension and Memorability of Charts (Bateman et al., CHI'10)
- 4. Vincent Tembo: Visual Analytics: Scope and Challenges (Keim et al., Lecture notes in computer science 2008)
- 5. Lebo Radebe: More Text Please!Understanding and Supporting the Use of Visualization for Clinical Text Overview (Sultanum et al. CHI 2018)
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20 Mar. 2018
- 1. Christine Yuen: Blinded with Science or Informed by Charts? A Replication Study (Dragicevic and Jansen, TVCG 2017)
- 2. Suzan Hayas: Constructive Visualization (Huron et al., DIS 2014)
- 3. Zain Hasan: Visualizing and Understanding Convolutional Networks (Zeiler and Fergus, LNCS 2014)
- 4. Ioannis Xarchakos: Understanding Neural Networks Through Deep Visualization (Yosinski et al., ICML 2015)
- 5. Mickaël Mendez: BioJS: an open source JavaScript framework for biological data visualization. (Gomez et al., Bioinformatics 2013)
Papers to be picked
Here is a list of papers to pick from, roughly organized by theme. Note that this list is not exhaustive. You can propose another academic paper for this assignment. In this case, you must first get the approval of the instructor that the paper is suitable for the assignment.
You must use this form to submit your choice (first choice, second choice). A dedicated field allows to enter your own paper proposal not included in the list below. Choice of papers submitted by another means will not be considered. Papers will be assigned on a first-in-first-served basis.
Exploratory Data Analysis
- • Integrating Statistics and Visualization: Case Studies of Gaining Clarity during Exploratory Data Analysis (Perer and Shneiderman, CHI 2008)
- • Polaris: A System for Query, Analysis and Visualization of Multi-dimensional Relational Databases (Stolte and Hanrahan, TVCG 2002)
- • Orko: Facilitating Multimodal Interaction for Visual Exploration and Analysis of Networks (Srinivasan and Stasko, TVCG 2017)
- • Exploratory Analysis of Time-series with ChronoLenses (Zhao et al., Infovis 2011)
Graphs & Networks
- • Supporting Handoff in Asynchronous Collaborative Sensemaking Using Knowledge-Transfer Graphs (Zhao et al., TVCG 2017)
- • What Would a Graph Look Like in This Layout? A Machine Learning Approach to Large Graph Visualization (Kwon et al., TVCG 2017)
- • Functional Decomposition for Bundled Simplification of Trail Sets (Hurter et al., TVCG 2017)
- • Visualizing Dense Dynamic Networks with Matrix Cubes (Bach et al., CHI'14)
- • NodeTrix: a hybrid visualization of social networks (Henry et al., TVCG 2007)
- • GeneaQuilts: A System for Exploring Large Genealogies (Bezerianos et al., Infovis 2010)
- • Egocentric Analysis of Dynamic Networks with EgoLines (Zhao et al., CHI'16)
- • Telling Stories about Dynamic Networks with Graph Comics (Bach et al., CHI'16)
- • Annotation Graphs: A Graph-Based Visualization for Meta-Analysis of Data based on User-Authored Annotations (Zhao et al., TVCG 2016)
Interaction
- • SketchSliders: Sketching Widgets for Visual Exploration on Wall Displays (Tsandilas et al., CHI 2015)
- • DimpVis: Exploring Time-varying Information Visualizations by Direct Manipulation (Kondo and Collins, Infovis 2014)
- • SketchStory: Telling more Engaging Stories with Data through Freeform Sketching (Lee et al., Infovis 2014)
- • TouchPivot: Blending WIMP & Post-WIMP Interfaces for Data Exploration on Tablet Devices (Jo et al., CHI 2017)
- • Active Reading of Visualizations (Walny et al., TVCG 2017)
Animation
- • Animation: can it facilitate? (Tversky, IJHCS 2002)
- • Animated Transitions in Statistical Data Graphics (Heer & Robertson, TVCG 2007).
- • GraphDiaries: Animated Transitions and Temporal Navigation for Dynamic Networks (Bach et al., TVCG 2014)
- • The not-so-staggering effect of staggered animation (Chevalier et al., TVCG 2014)
- • Effectiveness of Animation in Trend Visualization (Robertson et al., TVCG 2008)
Machine Learning & Statistics
- • EnsembleMatrix: interactive visualization to support machine learning with multiple classifiers (Talbot et al., CHI'09)
- • Interactive Optimization for Steering Machine Classification (Kapoor et al., CHI'10)
Storytelling
- • Authoring Data-Driven Videos with DataClips (Amini et al., Infovis 2016)
- • SketchStory: Telling more Engaging Stories with Data through Freeform Sketching (Lee et al., Infovis 2014)
Visualization Design and Presentation
- • Evaluating the Effect of Style in Information Visualization (Vande Moere et al., Infovis 2012)
- • Bristle Maps: A Multivariate Abstraction Technique for Geovisualization (Kim et al., TVCG 2013)
- • Keeping Multiple Views Consistent: Constraints, Validations, and Exceptions in Visualization Authoring (Qu et al., TVCG 2017)
- • Extracting and Retargeting Color Mappings from Bitmap Images of Visualizations (Poco et al., TVCG 2017)
- • Designing pixel-oriented visualization techniques: Theory and applications (Keim, TVCG 2000)
- • Sketchy Rendering for Information Visualization (Wood et al., TVCG 2012)
Perception and Cognitive Psychology
- • Perception of Visual Variables on Tiled Wall-Sized Displays for Information Visualization Applications (Bezerianos et al., Infovis 2012)
- • Four Experiments on the Perception of Bar Charts (Talbot et al., Infovis 2014)
- • Graphical Perception: Theory, Experimentation and the Application to the Development of Graphical Models (Cleveland and McGill, J. Am. Stat. Assoc., 1984)
- • Perceptual Biases in Font Size as a Data Encoding (Alexander et al., TVCG 2017)
- • Warning, Bias May Occur: A Proposed Approach to Detecting Cognitive Bias in Interactive Visual Analytics (Wall et al., TVCG 2017)
Techniques
- • Revisiting Bertin Matrices: New Interactions for Crafting Tabular Visualizations (Perin et al., Infovis'14)
- • Hybrid-Image Visualization for Large Viewing Environments (Isenberg et al. Infovis 2013)
Visual Analytics
- • Jigsaw: supporting investigative analysis through interactive visualization (Stasko et al., Infovis'04)
Evaluation and models
- • A Nested Model for Visualization Design and Validation (Munzner, Infovis 2009)
- • The Challenges of Information Visualization (Plaisant, AVI 2004)
- • Data Visualization Saliency Model: A Tool for Evaluating Abstract Data Visualizations (Matzen et al., TVCG 2017)
- • Bridging From Goals to Tasks with Design Study Analysis Reports (Lam et al., TVCG 2017)
Beyond the desktop
- • Orko: Facilitating Multimodal Interaction for Visual Exploration and Analysis of Networks (Srinivasan and Stasko, TVCG 2017)
- • Perception of Visual Variables on Tiled Wall-Sized Displays for Information Visualization Applications (Bezerianos et al., Infovis 2012)
- • SketchSliders: Sketching Widgets for Visual Exploration on Wall Displays (Tsandilas et al., CHI 2015)
- • TouchPivot: Blending WIMP & Post-WIMP Interfaces for Data Exploration on Tablet Devices (Jo et al., CHI 2017)