Cognitive Affordances in Visualization: Related Constructs, Design Factors, and Framework

A large box on the far left is labeled Design Decisions and lists five subcategories: Encoding, Arrangemnet, Contextualizing Visual Elements, Data, and Situation. This box flows into an elongated oval in the middle of the figure labels Readers. In the Readers oval there are four subcategories: Demographics, Prior Beliefs, Learned Skills, and lastly Physical \& Cognitive Function. The flowing continues from the Design Decisions box, into the Readers oval, and then into the last box on the far right, titled Afforded Information. The afforded information box shows many different texts reading Info A, Info R, Info G, etc. at different heights of the box. The Info texts that are higher up are a darker green to correlate with an arrow that runs most of the height of the box and is labeled ``More Afforded'' at the top and ``less afforded'' at the bottom. Along the bottom of the box, under a dotted line, are some Info texts in gray labeled ''Not Afforded''
Our framework of cognitive affordances in visualization consists of three high-level components: design decisions, readers, and a hierarchy of afforded information.The impacts of design decisions are moderated by reader characteristics, which dictate the likelihood that different information is communicated.
Abstract
Classically, affordance research investigates how the shape of objects communicates actions to potential users. Cognitive affordances, a subset of this research, characterize how the design of objects influences cognitive actions, such as information processing. Within visualization, cognitive affordances inform how graphs' design decisions communicate information to their readers. Although several related concepts exist in visualization, a formal translation of affordance theory to visualization is still lacking. In this paper, we review and translate affordance theory to visualization by formalizing how cognitive affordances operate within a visualization context. We also review common methods and terms, and compare related constructs to cognitive affordances in visualization. Based on a synthesis of research from psychology, human-computer interaction, and visualization, we propose a framework of cognitive affordances in visualization that enumerates design decisions and reader characteristics that influence a visualization's hierarchy of communicated information. Finally, we demonstrate how this framework can guide the evaluation and redesign of visualizations.
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Khoury Vis Lab — Northeastern University
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