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Card sorting is a technique in user experience design in which a person tests a group of subject experts or users to generate a dendrogram (category tree) or folksonomy. It is a useful approach for designing information architecture , workflows, menu structure, or web site navigation paths.
Tree testing is a usability technique for evaluating the findability of topics in a website. [1] It is also known as reverse card sorting or card-based classification. [2]A large website is typically organized into a hierarchy (a "tree") of topics and subtopics.
The Wisconsin Card Sorting Test (WCST) is a neuropsychological test of set-shifting, which is the capability to show flexibility when exposed to changes in reinforcement. [ 1 ] [ 2 ] The WCST was written by David A. Grant and Esta A. Berg.
Edge sorting is a technique used in advantage gambling where a player determines whether a face-down playing card is likely to be low or high at casino table games by observing, learning, and exploiting subtle unintentional differences on the backs of the cards being dealt. [1]
Stable sort algorithms sort equal elements in the same order that they appear in the input. For example, in the card sorting example to the right, the cards are being sorted by their rank, and their suit is being ignored. This allows the possibility of multiple different correctly sorted versions of the original list.
The notches allow efficient sorting of a large number of cards in a paper-based database, as well as the selection of specific cards matching multiple desired criteria. Unlike machine-readable punched cards , edge-notched cards were designed to be manually sorted by human operators.
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This page was last edited on 22 January 2019, at 16:23 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply.