192 citations · 407 across the 13 of their papers we have counts for
14 papers
Interactive AI and Human Behavior: Challenges and Pathways for AI Governance
Yulu Pi, Cagatay Turkay, Daniel Bogiatzis-Gibbons
As Generative AI systems increasingly engage in long-term, personal, and relational interactions, human-AI engagements are becoming significantly complex, making them more challeng…
LightVA: Lightweight Visual Analytics with LLM Agent-Based Task Planning and Execution
Yuheng Zhao, Junjie Wang, Linbin Xiang +5
Visual analytics (VA) requires analysts to iteratively propose analysis tasks based on observations and execute tasks by creating visualizations and interactive exploration to gain…
From Stem to Stern: Contestability Along AI Value Chains
Agathe Balayn, Yulu Pi, David Gray Widder +9
This workshop will grow and consolidate a community of interdisciplinary CSCW researchers focusing on the topic of contestable AI. As an outcome of the workshop, we will synthesize…
The Evolution of Reinforcement Learning in Quantitative Finance: A Survey
Nikolaos Pippas, Elliot A. Ludvig, Cagatay Turkay
Reinforcement Learning (RL) has experienced significant advancement over the past decade, prompting a growing interest in applications within finance. This survey critically evalua…
LEVA: Using Large Language Models to Enhance Visual Analytics
Yuheng Zhao, Yixing Zhang, Yu Zhang +5
Visual analytics supports data analysis tasks within complex domain problems. However, due to the richness of data types, visual designs, and interaction designs, users need to rec…
Dashboard Design Patterns
Benjamin Bach, Euan Freeman, Alfie Abdul-Rahman +4
This paper introduces design patterns for dashboards to inform dashboard design processes. Despite a growing number of public examples, case studies, and general guidelines there i…
Visualization for Epidemiological Modelling: Challenges, Solutions, Reflections & Recommendations
Jason Dykes, Alfie Abdul-Rahman, Daniel Archambault +30
We report on an ongoing collaboration between epidemiological modellers and visualization researchers by documenting and reflecting upon knowledge constructs -- a series of ideas,…
Propagating Visual Designs to Numerous Plots and Dashboards
Saiful Khan, Phong H. Nguyen, Alfie Abdul-Rahman +4
In the process of developing an infrastructure for providing visualization and visual analytics (VIS) tools to epidemiologists and modeling scientists, we encountered a technical c…
RAMPVIS: Towards a New Methodology for Developing Visualisation Capabilities for Large-scale Emergency Responses
M. Chen, A. Abdul-Rahman, D. Archambault +18
The effort for combating the COVID-19 pandemic around the world has resulted in a huge amount of data, e.g., from testing, contact tracing, modelling, treatment, vaccine trials, an…
Revisiting the Modifiable Areal Unit Problem in Deep Traffic Prediction with Visual Analytics
Wei Zeng, Chengqiao Lin, Juncong Lin +4
Deep learning methods are being increasingly used for urban traffic prediction where spatiotemporal traffic data is aggregated into sequentially organized matrices that are then fe…
Words of Estimative Correlation: Studying Verbalizations of Scatterplots
Rafael Henkin, Cagatay Turkay
Natural language and visualization are being increasingly deployed together for supporting data analysis in different ways, from multimodal interaction to enriched data summaries a…
Progressive Data Science: Potential and Challenges
Cagatay Turkay, Nicola Pezzotti, Carsten Binnig +7
Data science requires time-consuming iterative manual activities. In particular, activities such as data selection, preprocessing, transformation, and mining, highly depend on iter…
Hatching for 3D prints: line-based halftoning for dual extrusion fused deposition modeling
Tim Kuipers, Willemijn Elkhuizen, Jouke Verlinden +1
This work presents a halftoning technique to manufacture 3D objects with the appearance of continuous grayscale imagery for Fused Deposition Modeling (FDM) printers. While droplet-…
The State of the Art in Integrating Machine Learning into Visual Analytics
A. Endert, W. Ribarsky, C. Turkay +4
Visual analytics systems combine machine learning or other analytic techniques with interactive data visualization to promote sensemaking and analytical reasoning. It is through su…