To improve the future, we must reflect on our past. The IEEE VIS Test of Time Award is an accolade given to recognize articles published at previous conferences whose contents are still vibrant and useful today and have had a major impact and influence within and beyond the visualization community.
This year’s Test-of-Time awards will be announced during the VIS Awards session.
Vis & SciVis
Committee: Ingrid Hotz (Chair), Daniel Keim, Klaus Mueller, Claudio Silva, Xiaoru Yuan (Chair)
2001 (25-Years Vis ToT Award):
Interactive volume rendering using multi-dimensional transfer functions and direct manipulation widgets
Joe Kniss; Gordon Kindlmann; Charles Hansen
10.1109/VISUAL.2001.964519
This paper is distinguished for fundamentally changing how transfer functions are understood and used in volume visualization. Traditionally employed to classify materials such as bone, vessels, and soft tissue, transfer functions were extended by this work to multiple data attributes, enabling the identification and emphasis of structures in higher-dimensional data. Equally important, the paper introduced an interactive exploration framework in which users could intuitively design transfer functions through direct manipulation of multidimensional histograms. Together, these advances transformed transfer functions from predefined classification tools into powerful instruments for visual exploration and analysis. The approach laid important foundations for multidimensional and multifield visualization, inspiring numerous subsequent methods. By redefining both the conceptual role of transfer functions and how users interact with them, this paper has had a lasting impact on volume visualization.
2015 (11-Years SciVis ToT Award):
Gaze Stripes: Image-Based Visualization of Eye Tracking Data
Kuno Kurzhalz, Marcel Hlawatsch, Florian Heimerl, Michael Burch, Thomas Ertl, Daniel Weiskopf
10.1109/TVCG.2015.2468091
This paper has made an enduring contribution to eye-tracking analytics and our understanding of human visual perception and behavior. The paper introduced an innovative approach to visualizing gaze behavior by arranging image patches from the original stimulus along a timeline. Preserving both visual and temporal context, this representation enables intuitive comparisons across participants and reveals viewing patterns without requiring predefined areas of interest, particularly for dynamic stimuli. By advancing the analytical capabilities of eye-tracking research, Gaze Stripes have supported applications in visualization evaluation, usability studies, and human-computer interaction. Beyond the specific technique, the work demonstrates how visual analytics can transform complex behavioral data into interpretable evidence about human perception and cognition. Its lasting influence exemplifies the power of elegant visual representations to advance not only visualization itself, but also the methods through which we study human interaction with visual information.
2016 (10-Years SciVis ToT Award):
OSPRay - A CPU Ray Tracing Framework for Scientific Visualization
Ingo Wald, Gregory P. Johnson, Jefferson Amstutz, Carson Brownlee, Aaron Knoll, Jim Jeffers, Johannes Günther, Paul A. Navrátil
10.1109/TVCG.2016.2599041
The paper has made an enduring contribution to scientific visualization by establishing high-quality, scalable rendering as a practical foundation for scientific exploration. Addressing the challenge of interactively visualizing increasingly large and complex data, OSPRay combined efficient CPU ray tracing with an accessible, extensible framework, bringing advanced rendering capabilities to systems without dedicated rendering hardware. Its lasting impact is evident in its integration into major visualization tools, including ParaView, VisIt, VTK, and VMD, making sophisticated rendering accessible to scientists across disciplines. Its open-source implementation has enabled broad adoption, while supporting subsequent research in distributed rendering and in situ visualization. Through sustained development and widespread practical use, OSPRay has evolved from a research contribution into essential infrastructure for scientific visualization. This remarkable transition from innovative research to widely deployed technology exemplifies the lasting impact celebrated by the Test-of-Time Award.
InfoVis
Committee: Enrico Bertini (Chair), Helwig Hauser, Shixia Liu, Silvia Miksch, Huamin Qu
2016 (10-Years InfoVis ToT Award):
Vega-Lite: A Grammar of Interactive Graphics
Arvind Satyanarayan, Dominik Moritz, Kanit Wongsuphasawat, Jeffrey Heer
10.1109/TVCG.2016.2599030
VAST
Committee: Remco Chang, Helwig Hauser, Klaus Mueller, Tobias Schreck (Chair)
2016 (10-Years VAST ToT Award):
Characterizing Guidance in Visual Analytics
Davide Ceneda, Theresia Gschwandtner, Thorsten May, Silvia Miksch, Hans-Jörg Schulz, Marc Streit, Christian Tominski
10.1109/TVCG.2016.2598468
The paper introduces a Visual Analytics process model that establishes user guidance as a central component of interactive visual analysis. It characterizes guidance in terms of users’ knowledge gaps, inputs and outputs, and varying degrees of guidance, ranging from orienting users towards patterns to suggesting exploration options and prescribing analysis steps. This seminal contribution provides a concise yet expressive conceptual framework that has inspired substantial follow-up research, both theoretical and applied. Its discussion of examples and open challenges continues to inform the design of guidance mechanisms in Visual Analytics. With recent advances in AI, particularly the emergence of LLM-based agents for supporting analytical workflows, the paper’s insights are more relevant than ever. Its framework remains a valuable foundation for emerging approaches to human-centered Visual Analytics.