Visualizing Mental Models

Joshua Korenblat
Assistant Professor
Graphic Design

State University of New York at New Paltz

Visual communicators can work at the center of ideas by understanding mental models. A mental model is an abstract representation of reality that enables thinking, understanding, and knowledge sharing. In his book Visual Complexity, Mapping Patterns of Information, researcher Manuel Lima identifies two broad historical trends in mental models: earlier tree-based models of knowledge, illustrated in the literal form of trees, shift into today’s more abstract, network-based models of knowledge.

As summarized by Raph Koster in his influential book A Theory of Fun for Game Design, thinking is pattern-matching against experience. Patterns are stored in memory as chunks of information. Most of the time, the brain works with these abstract chunks—a type of autopilot—rather than processing incoming information in detail. Poetry breaks us from the autopilot mode through vivid descriptions and figurative verbal language. Like a poem, a visual mental model can break readers from their autopilot mode by allowing them to examine their assumptions in a material way. These diagrams rely upon an elegant visual alphabet. Mental models appear in user experience research as affinity maps and user journeys. Or they can show systems, a set of interdependent parts, below the threshold of events and action. Ultimately, the most vivid mental models allow the reader to see a belief or story.

After presenting historic mental models, I’ll show a simple design case study for how to make a mental model, adapted from systems theorist Derek Cabrera. I’ll then discuss when to represent the model in an abstract way, and when it might benefit the designer to represent the model in a more illustrative way. Designers who wish to create vivid, shareable artifacts of our world can use mental models as a tool to enhance communication, conversation, and action with their constituents.

This research was presented at the Design Incubation Colloquium 4.0: SUNY New Paltz on September 9, 2017.