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Copy file name to clipboardExpand all lines: static/adoption.csv
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@@ -8,6 +8,6 @@ Timestamp,Your Name,Paper Title,List of Authors,"Journal, Conference or Veune",S
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10/4/2025 16:21:48,Alexander Lex,ReVISit 2: A Full Experiment Life Cycle User Study Framework,"Zach Cutler, Jack Wilburn, Hilson Shrestha, Yiren Ding, Brian Bollen, Khandaker Abrar Nadib, Tingying He, Andrew McNutt, Lane Harrison, Alexander Lex",IEEE Transactions on Visualization and Computer Graphics (VIS),"To demonstrate the capability of reVISit 2.0 we run three replication studies on just noticeable difference (perception), the role of search (interaction), and designing textures (provenance). ",https://www.visdesignlab.net/publications/2025_vis_revisit/,https://revisit.dev/replication-studies/,2.1.0,https://github.com/revisit-studies/replication-studies,alexander.lex@gmail.com,Yes,2026,10.1109/TVCG.2025.3633896
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10/6/2025 18:15:20,Lane Harrison,Tell Me Without Telling Me: Two-Way Prediction of Visualization Literacy and Visual Attention,"Minsuk Chang, Yao Wang, Huichen Will Wang, Yuanhong Zhou, Andreas Bulling, Cindy Xiong Bearfield",IEEE Transactions on Visualization and Computer Graphics (VIS),"Based on data from a 235-participant user study covering three visualization tests (mini-VLAT, CALVI, and SGL), we show that distinct attention patterns in visual data exploration can correlate with participants' literacy levels: While experts (high-scorers) generally show a strong attentional focus, novices (low-scorers) focus less and explore more. ",https://arxiv.org/abs/2508.03713,,1.0.0,https://osf.io/2crb9/files/osfstorage,lanetharrison@gmail.com,Yes,2026,10.1109/TVCG.2025.3634815
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10/7/2025 11:55:56,Tingying He,Investigating the Task Load of Investigating the Task Load in Visualization Studies,"Daniel Pahr, Sara Di Bartolomeo",alt. vis workshop at IEEE VIS,This paper conducts an online survey to investigate the task load of administering different versions of the NASA-TLX in a meta-study.,https://arxiv.org/html/2509.24643v1,https://dpahr.github.io/tlxtlx/,2.1.1,https://github.com/dpahr/tlxtlx,hetingying.hty@gmail.com,Yes,2025,
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10/8/2025 3:48:01,Johannes Ellemose,Eye of the Beholder: Towards Measuring Visualization Completely,"Johannes Ellemose, Niklas Elmqvist",IEEE Transactions on Visualization and Computer Graphics (VIS),"We report on a crowdsourced study to collect human ratings of perceived complexity for diverse visualizations using ReVISit. Using these ratings as ground truth, we then evaluated three methods to estimate this perceived complexity: image analysis metrics, multilinear regression using manually coded visualization features, and automated feature extraction using a large language model (LLM). ",,,1.0.0,https://github.com/Aldermoore/revisit_study,joha.ellemose@gmail.com,Yes,2026,10.1109/TVCG.2025.3634789
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10/8/2025 3:48:01,Johannes Ellemose,Eye of the Beholder: Towards Measuring Visualization Complexity,"Johannes Ellemose, Niklas Elmqvist",IEEE Transactions on Visualization and Computer Graphics (VIS),"We report on a crowdsourced study to collect human ratings of perceived complexity for diverse visualizations using ReVISit. Using these ratings as ground truth, we then evaluated three methods to estimate this perceived complexity: image analysis metrics, multilinear regression using manually coded visualization features, and automated feature extraction using a large language model (LLM). ",,,1.0.0,https://github.com/Aldermoore/revisit_study,joha.ellemose@gmail.com,Yes,2026,10.1109/TVCG.2025.3634789
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11/13/2025 10:58:52,Minsuk Chang,Grid Labeling: Crowdsourcing Task-Specific Importance from Visualizations,"Minsuk Chang, Yao Wang, Huichen Will Wang, Andreas Bulling, Cindy Xiong Bearfield",Computer Graphics Forum (EuroVis),"We introduce Grid Labeling - a novel annotation method for collecting task-specific importance data to enhance saliency prediction models. We conducted a human subject study comparing Grid Labeling with existing annotation methods, ImportAnnots, and BubbleView across multiple metrics.",https://arxiv.org/abs/2502.13902,https://jangsus1.github.io/Grid-Labeling,1.0.0,https://github.com/jangsus1/Grid-Labeling,min99101510@gmail.com,Yes,2025,
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10/21/2025 11:57:01,Hilson Shrestha,Exploring “Just Noticeable” Group Fairness in Rankings,"Mallak Alkhathlan, Hilson Shrestha, Lane Harrison, Elke Rundensteiner","AAAI/ACM Conference on AI, Ethics, and Society (AIES)","This paper explores the alignment of people's perceptions with fairness metrics through the use of a two-alternative forced-choice methodology, compared to prior methods that used ordinal rating scales such as Likert scales.",https://ojs.aaai.org/index.php/AIES/article/download/36532/38670,,1.0.0,https://osf.io/drs67/,hshrestha@wpi.edu,Yes,2025,10.1609/aies.v8i1.36532
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