Best Paper/Poster Awards

Best paper and honorable mention awards are selected by a dedicated committee of experienced community members. Both awards recognize outstanding work from the pool of accepted papers. Best paper committees use a variety of criteria to select the best paper including potential impact to the community, the importance of any results obtained, and technical challenges overcome.

Full Papers

The Best Papers Committee for VIS 2023 Full papers consists of seven distinguished members: G. Elisabeta (Liz) Marai (chair), Rita Borgo, Stefan Bruckner, Steffen Koch, Kwan-Liu Ma, Jo Wood, and Xiaoru Yuan. The Papers Chairs would like to thank the Best Papers Committee for their work and to congratulate the awardees!

Best Papers

Affective Visualization Design: Leveraging the Emotional Impact of Data
Authors: Xingyu Lan, Yanqiu Wu, Nan Cao

Justification: “In an area that has only recently been recognised for its importance, this paper stands out in providing a comprehensive review and evaluation of emotionally affective visualization design. With its systematic structuring of 170 surveyed papers and designs, along with a nuanced discussion of affective design form and motivation, it provides an important contribution to the community. It moves us beyond a collection of disparate design examples by establishing a foundational design space and framework relating design technique, thematic genre and task. In doing so, it provides an important step for future work to evaluate and improve affective design in visualization.”

Fast Compressed Segmentation Volumes for Scientific Visualization
Authors: Max Piochowiak, Carsten Dachsbacher

Justification: “This paper presents a work that is very well motivated, designed, evaluated and demonstrated. The authors took domain specific knowledge about the properties of the data and used it to develop a novel way to represent the data as a hierarchical sequence of instructions to reconstruct the data, to achieve high compression ratios in a data layout that can be used for interactive, level-of-detail rendering. Such a creative re-framing of data representation may also be applicable beyond rendering.”

Swaying the Public? Impacts of Election Forecast Visualizations on Emotion, Trust, and Intention in the 2022 U.S. Midterms
Authors: Fumeng Yang, Mandi Cai, Chloe Rose Mortenson, Hoda Fakhari, Ayse Deniz Lokmanoglu, Jessica Hullman, Steven Franconeri, Nicholas Diakopoulos, Erik Nisbet, Matthew Kay

Justification: “This thought-provoking, engaging paper presents a longitudinal, large-scale, real-time study on the impact of uncertainty visualization of election forecasts in the U.S. 2022 midterms. The study is researched, planned and executed in an exemplary manner. The experimental results offer intriguing insights into the effects of these uncertainty visualizations on viewer emotions, trust, and intention to vote. Beyond the topical subject, the findings are useful to any uncertainty visualization endeavors.”

TimeSplines: Sketch-based Authoring of Flexible and Idiosyncratic Timelines
Authors: Anna Offenwanger, Matthew Brehmer, Fanny Chevalier, Theophanis Tsandilas

Justification: “This creative paper introduces an impressive novel authoring tool to support free-form sketching with data. Specifically, the paper follows a technically-strong approach to support visually communicating chronological narratives which do not follow a linear development. Overall, the work supports expressive and creative styles of visualization, pushing further the state of the art in free-form drawing of data visualizations.”

Visualization of Discontinuous Vector Field Topology
Authors: Egzon Miftari, Daniel Durstewitz, Filip Sadlo

Justification: “This well motivated and elegant paper successfully extends vector field topology to discontinuous but piecewise-continuous vector fields, by providing extraction techniques for Filippov systems and extending these systems with non-unique transport. This work enables visualizing and exploring the behaviors of complex flow with discontinuities, which is extremely important in many engineering and application fields.”

Vortex Lens: Interactive Vortex Core Line Extraction using Observed Line Integral Convolution
Authors: Peter Rautek, Xingdi Zhang, Bernhard Woschizka, Thomas Theussl, Markus Hadwiger

Justification: “This work presents a novel and creative contribution to the analysis of vortex structures in 2D unsteady flows. It proposes a new interactive approach that keeps the user in the loop during reference frame optimization, allowing for the rapid exploration of real-world flow data. The paper utilizes a clever iterative optimization scheme that can be executed asynchronously during user interaction, alleviating the need for any pre-computation, representing a clear advancement of the state of the art. By explicitly exploring the connection between the mathematical formulation and physical meaningfulness, the paper further contributes to the foundations of flow visualization.”

Best Paper Honorable Mentions

A Computational Design Process to Fabricate Sensing Network Physicalizations
Authors: S. Sandra Bae, Takanori Fujiwara, Anders Ynnerman, Ellen Yi-Luen Do, Michael L Rivera, Danielle Albers Szafir

ARGUS: Visualization of AI-assisted Task Guidance in AR
Authors: Sonia Castelo Quispe, João Rulff, Erin McGowan, Bea Steers, Guande Wu, Shaoyu Chen, Iran Roman, Roque Lopez, Ethan Brewer, Chen Zhao, Jing Qian, Kyunghyun Cho, He He, Qi Sun, Huy T. Vo, Juan Pablo Bello, Michael Krone, Claudio Silva

Average Estimates in Line Graphs are Biased Towards Areas of Higher Variability
Authors: Dominik Moritz, Lace M. Padilla, Francis Nguyen, Steven L Franconeri

CLAMS: Cluster Ambiguity Measure for Estimating Perceptual Variability in Visual Clustering
Authors: Hyeon Jeon, Ghulam Jilani Quadri, Hyunwook Lee, Paul Rosen, Danielle Albers Szafir, Jinwook Seo

Data Formulator: AI-powered Concept-driven Visualization Authoring
Authors: Chenglong Wang, John R. Thompson, Bongshin Lee

Dead or Alive: Continuous Data Profiling for Interactive Data Science
Authors: Will Epperson, Vaishnavi Gorantla, Dominik Moritz, Adam Perer

Dr. KID: Direct Remeshing and K-set Isometric Decomposition for Scalable Physicalization of Organic Shapes
Authors: Dawar Khan, Ciril Bohak, Ivan Viola

Enthusiastic and Grounded, Avoidant and Cautious: Understanding Public Receptivity to Data and Visualizations
Authors: Helen Ai He, Jagoda Walny, Sonja Thoma, Sheelagh Carpendale, Wesley Willett

Extract and Characterize Hairpin Vortices in Turbulent Flows
Authors: Adeel Zafar, Di Yang, Guoning Chen

InnovationInsights: A Visual Analytics Approach for Understanding the Dual Frontiers between Science and Technology
Authors: Yifang Wang, Yifan Qian, Xiaoyu Qi, Nan Cao, Dashun Wang

ManiVault: A Flexible and Extensible Visual Analytics Framework for High-Dimensional Data
Authors: Alexander Vieth, Thomas Kroes, Julian Thijssen, Baldur van Lew, Jeroen Eggermont, Soumyadeep Basu, Elmar Eisemann, Anna Vilanova, Thomas Höllt, Boudewijn Lelieveldt

Merge Tree Geodesics and Barycenters with Path Mappings
Authors: Florian Wetzels, Mathieu Pont, Julien Tierny, Christoph Garth

ProWis: A Visual Approach for Building, Managing, and Analyzing Weather Simulation Ensembles at Runtime
Authors: Carolina Veiga Ferreira de Souza, Suzanna Maria Bonnet, Daniel de Oliveira, Marcio Cataldi, Fabio Miranda, Marcos Lage

Short Papers

The Best Papers Committee for VIS 2023 short papers consists of three distinguished members: Daniel Archambault, Jian Chen, and Nathalie Riche. The Short Papers Chairs would like to thank the Best Papers Committee for their work and to congratulate the awardees!

Best Paper

Gridded Glyphmaps for Supporting Spatial COVID-19 Modelling
Authors: Aidan Slingsby, Richard Reeve, Claire Harris

Best Paper Honorable Mentions

Draco 2: An Extensible Platform to Model Visualization Design
Authors: Junran Yang, Péter Ferenc Gyarmati, Zehua Zeng, Dominik Moritz

Data in the Wind: Evaluating Multiple-Encoding Design for Particle Motion Visualizations
Authors: Yiren Ding, Lane Harrison


The Best Posters Committee for VIS 2022 posters consists of three distinguished members: Jessica Hullman, Vijay Natarajan, and Adam Perer. The Poster Chairs would like to thank the Best Posters Committee for their work and to congratulate the awardees!

Best Poster

ManimML: Communicating Machine Learning Architectures with Animation
Authors: Alec Fisher Helbling, Duen Horng Chau

Best Poster Honorable Mentions

Enhancing Natural Language-Based Data Exploration with Analysis Pipeline Illustration
Author: Yi Guo, Nan Cao, Xiaoyu Qi, Haoyang Li, Danqing Shi, Jing Zhang, Qing Chen, Daniel Weiskopf

Refreshable Tactile Displays for Accessible Data Visualisation
Authors: Leona M Holloway, Peter Cracknell, Kate Stephens, Melissa Fanshawe, Samuel Reinders, Kim Marriott, Matthew Butler