Gaze-Driven Links for Magazine Style Narrative Visualizations

摘要

Magazine Style Narrative Visualizations (MSNV) can be challenging due to the need to integrate textual and visual information. This problem has prompted researchers to design dynamic guidance meant to ease the mapping of the information provided in the two modalities. We contribute to this line of work by evaluating gaze-driven adaptive guidance that dynamically links relevant sentences in the text to the corresponding datapoints in the visualizations (see Fig. 1). We conducted a user study that involved participants reading a series of MSNVs extracted from real-world sources. Results show that the adaptive links significantly improve the comprehension of the MSNVs as compared to receiving no guidance. This improvement comes at no expense of user reading time, and is consistent regardless of the MSNV complexity.