How data-ink maximization can motivate learners – Persuasion in data visualization

This paper discusses both the macro- and the micro-level of persuasion in data visualizations in persuasive tools for language learning. The hypothesis of this paper is that persuasive data visualizations decrease reading time and increase reading accuracy of graph charts. Based on Tufte’s (1983) data-ink maximization principle the report introduces a framework for persuasive data visualizations on the persuasive micro level which employs Few’s (2013) conception of de-emphasizing non-data and emphasizing data-ink. This way persuasive data visualizations for a performance optimizing tool called Learning Journey Online (cf. Gottschalk and Winther-Nielsen 2013) is presented.