Abstract
The comic strip narrative style is an effective method for data-driven storytelling. However, surely it is not enough to just add some speech bubbles and clipart to your PowerPoint slideshow to turn it into a data comic? In this paper, we investigate aspects of partitioning and sequence as fundamental mechanisms for comic strip narration: chunking complex visuals into manageable pieces, and organizing them into a meaningful order, respectively. We do this by presenting results from a qualitative study designed to elicit differences in participant behavior when solving questions using a complex infographic compared to when the same visuals are organized into a data comic.
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Notes
- 1.
For engagement and effect, a few panels may consist solely of artistic content, but this puts corresponding artistic burden on the designer.
- 2.
Please see https://streamable.com/pw7xi for a video showcasing our tool. Note that this URL is anonymized, so does not break the confidentiality of the reviews.
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Zhao, Z., Marr, R., Shaffer, J., Elmqvist, N. (2019). Understanding Partitioning and Sequence in Data-Driven Storytelling. In: Taylor, N., Christian-Lamb, C., Martin, M., Nardi, B. (eds) Information in Contemporary Society. iConference 2019. Lecture Notes in Computer Science(), vol 11420. Springer, Cham. https://doi.org/10.1007/978-3-030-15742-5_32
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