Exploring Text-Graph Combinations to Improve Data Comprehension
Wednesday, April 19, 2023
RKC 111
12:00 pm – 1:00 pm EDT/GMT-4
12:00 pm – 1:00 pm EDT/GMT-4
Kristina Striegnitz, Union College
Data plays an increasing role in shaping our lives. It is, therefore, important to help non-experts understand, evaluate and draw inferences based on data. Data is often represented as graphs. However, prior research has shown that many people struggle with graph comprehension. We compared the effectiveness of presenting data as a graph to a text summary and to a combination of the two. Furthermore, we explored whether, in the combined presentation, color-coding or graph annotations helped non-expert readers better understand the underlying data.Kristina Striegnitz is an associate professor of computer science at Union College in Schenectady, NY. Before coming to Union she did a postdoc with Justine Cassell at Northwestern University. Kristina has a joint PhD from Saarland University in Germany and University Henri Poincare, Nancy 1 in France. Her research is in natural language generation and dialog systems. She is particularly interested in embodied interactive systems that are situated in physical or virtual environments.
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Time: 12:00 pm – 1:00 pm EDT/GMT-4
Location: RKC 111