Structure and Empathy in Visual Data Storytelling: Evaluating their Influence on Attitude

Johannes Liem, Charles Périn, Jo Wood

Computer Graphics Forum · 2020 · 55 citations · 46 references

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TL;DR

In the visualization community, it is often assumed that visual data storytelling enhances memorability and engagement, yet many of these assumptions lack empirical evaluation. This study investigates whether specific visual data storytelling techniques influence attitudes toward immigration. We compared personal empathy‑generating narratives, structured aggregate narratives, and a non‑narrative exploratory visualization across two crowdsourced studies of 300 participants each, using European Social Survey scales to assess attitude differences. Although some differences emerged among conditions, the impact on attitudes was smaller than anticipated, indicating caution in expecting strong effects from visual storytelling. Additional material is available at https://flowstory.github.io/attitudes/.

Abstract

Abstract In the visualization community, it is often assumed that visual data storytelling increases memorability and engagement, making it more effective at communicating information. However, many assumptions about the efficacy of storytelling in visualization lack empirical evaluation. Contributing to an emerging body of work, we study whether selected techniques commonly used in visual data storytelling influence people's attitudes towards immigration. We compare (a) personal visual narratives designed to generate empathy; (b) structured visual narratives of aggregates of people; and (c) an exploratory visualization without narrative acting as a control condition. We conducted two crowdsourced between‐subject studies comparing the three conditions, each with 300 participants. To assess the differences in attitudes between conditions, we adopted established scales from the social sciences used in the European Social Survey (ESS). Although we found some differences between conditions, the effects on people's attitudes are smaller than we expected. Our findings suggest that we need to be more careful when it comes to our expectations about the effects visual data storytelling can have on attitudes. Additional material: https://flowstory.github.io/attitudes/.

References

46