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40 lines
1.4 KiB
Markdown
40 lines
1.4 KiB
Markdown
---
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title: "representation-and-distributing-cognition"
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aliases: Representation and Distributing Cognition
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tags:
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- info203
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---
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use representation that does not require user to memorise things.
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> "solving a problem simply means representing it so as to make the solution transparent" - Herbert Simon, The sciences of the Artificial
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memory games make finding pairs hard by introducing rules. This often happens in computers interfaces needlessly difficult to use
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depeding on how you represent a problem, you can make is easy or hard.
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# Working memory
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users have a working memory (2±2 limit). You shouldn't require users to remember anything that you could put on a screen.
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If something takes a lot of time. You wil get distracted, and forget something.
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# Naturalness principle
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- experiemental cognition is raised when the properties of the representation match the properties of the thing being represented
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# Dist cognition
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when interfaces help people disribute cognition it can
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- exourage experimentsation
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- scaffold learning and reuce errors through reduncdancy
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- show (only) differences that matter
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- convert slow calculation into fast perception
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- support chunking, especially by experts
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- increase effieciency
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- facilitate collaboration
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good representation shows only relevant information and enables:
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- comparison
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- exploration
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- problem solving
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deep vs shallow interface
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