Çağatay Demiralp

schoolSigma Computingbar_chart#1711 Global Rank

Total Papers

HCI Rank

#1711

Research Areas

Years Active

Recent Publications

What-if Analysis for Business Professionals: Current Practices and Future Opportunities

What-if analysis (WIA) is essential for data-driven decision-making, allowing users to assess how changes in variables impact outcomes and explore alternative scenarios. Existing WIA research primarily supports the workflows of data scientists and analysts, and largely overlooks business professionals who engage in WI…

UIST '23CorrespondingInteractive Data Visualization +1

VegaProf: Profiling Vega Visualizations

Domain-specific languages (DSLs) for visualization aim to facilitate visualization creation by providing abstractions that offload implementation and execution details from users to the system layer. Therefore, DSLs often execute user-defined specifications by transforming them into intermediate representations (IRs)…

CHI '22CorrespondingHonorable MentionVisualization Perception & Cognition

Investigating Perceptual Biases in Icon Arrays

Icon arrays are graphical displays in which a subset of identical shapes are filled to convey probabilities. They are widely used for communicating probabilities to the general public. A primary design decision concerning icon arrays is how to fill and arrange these shapes. For example, a designer could fill the shape…

CHI '205th+ AuthorRecommender System UX +1

Teddy: A System for Interactive Review Analysis

Reviews are integral to e-commerce services and products. They contain a wealth of information about the opinions and experiences of users, which can help better understand consumer decisions and improve user experience with products and services. Today, data scientists analyze reviews by developing rules and models t…

CHI '19CorrespondingInteractive Data Visualization +1

VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository

Researchers currently rely on ad hoc datasets to train automated visualization tools and evaluate the effectiveness of visualization designs. These exemplars often lack the characteristics of real-world datasets, and their one-off nature makes it difficult to compare different techniques. In this paper, we present Viz…

CHI '18CorrespondingInteractive Data Visualization +1

A Visual Interaction Framework for Dimensionality Reduction Based Data Exploration

Dimensionality reduction is a common method for analyzing and visualizing high-dimensional data. However, reasoning dynamically about the results of a dimensionality reduction is difficult. Dimensionality-reduction algorithms use complex optimizations to reduce the number of dimensions of a dataset, but these new…

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