Search Results for author: Nicole Sultanum

Found 2 papers, 0 papers with code

DataTales: Investigating the use of Large Language Models for Authoring Data-Driven Articles

no code implementations8 Aug 2023 Nicole Sultanum, Arjun Srinivasan

Authoring data-driven articles is a complex process requiring authors to not only analyze data for insights but also craft a cohesive narrative that effectively communicates the insights.

Text Generation

An Interdisciplinary Perspective on Evaluation and Experimental Design for Visual Text Analytics: Position Paper

no code implementations23 Sep 2022 Kostiantyn Kucher, Nicole Sultanum, Angel Daza, Vasiliki Simaki, Maria Skeppstedt, Barbara Plank, Jean-Daniel Fekete, Narges Mahyar

We identify four key groups of challenges for evaluating visual text analytics approaches (data ambiguity, experimental design, user trust, and "big picture" concerns) and provide suggestions for research opportunities from an interdisciplinary perspective.

Experimental Design Position

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