Pattern Recognition
Design Pattern
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Even when there is no pattern, we seek ways to organize and simplify complex information
Usage
- Use to enable users to organize or label information – to make a game of arranging things
In the card deck
Pattern Recognition is one of the cards in the Persuasive Patterns card decks
Two decks, Conversions & Decisions and Habits & Engagement, of bite-size psychological insights presented in a manner easily referenced and used as a brainstorming tool.
Solution
We try to make sense of how information is grouped and presented.
- Gamify the experience. Make a game of arranging things in a manner that sparks curiosity and encourages pattern-seeking behavior. Consider playful ways to enable users to organize or label information and make a game of arranging things.
- Provide affordance cues. Give cues as to how the user should interact with your experience. These cues tell you what to do with an object once you see it, such as a “push” or “pull” sign on a door.
- Build a taste profile to reduce cognitive load. As you learn about the users’s knowledge, experience, and preference through the choices and action they make, it is possible through machine learning and simple categorization to build a data profile that can predict similar objects of preference. This can in turn help reduce friction as you will be able to present content that matches the preference of the user more accurately.
Rationale
We seek ways to organize and simplify complex information as we try to make sense of how information is grouped and presented. We look for cues (affordances) in objects to figure out how we should interact with them and use our knowledge and past experience to make sense and meaning.
How we recognize patterns has been researched was researched in cognitive science from the 1970s and up. How we understand images through the Recognition-by-Compontent (RBC) theory by Biederman and how we apply it to design experiences through affordances by Donald Norman.
1 Biederman, I. (1987). Recognition-by-components: a theory of human image understanding. Psychol Rev. 1987 Apr;94(2):115-147.
2 Norman, D. (1999). Affordance, conventions, and design, Interactions Volume 6, Issue 3, pp 38–43
3 Pattern Recognition persuasive technique at Learning Loop
