Communicative Visualizations as a Learning Problem
Eytan Adar, Elsie Lee

TL;DR
This paper proposes a learning-based framework for designing and evaluating communicative visualizations, addressing the mismatch between designer intent and evaluation methods by viewing recipients as students and using learning objectives.
Contribution
It introduces a novel learning lens approach to better define, assess, and compare communicative visualizations, supported by a survey and interviews with visualization practitioners.
Findings
Identified diverse communicative objectives in visualizations
Prevalence of certain objective types among practitioners
Framework helps understand and improve visualization communication
Abstract
Significant research has provided robust task and evaluation languages for the analysis of exploratory visualizations. Unfortunately, these taxonomies fail when applied to communicative visualizations. Instead, designers often resort to evaluating communicative visualizations from the cognitive efficiency perspective: "can the recipient accurately decode my message/insight?" However, designers are unlikely to be satisfied if the message went 'in one ear and out the other.' The consequence of this inconsistency is that it is difficult to design or select between competing options in a principled way. The problem we address is the fundamental mismatch between how designers want to describe their intent, and the language they have. We argue that visualization designers can address this limitation through a learning lens: that the recipient is a student and the designer a teacher. By using…
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