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A heuristic evaluation is a usability inspection method for computer software that helps to identify usability problems in the user interface design. It specifically involves evaluators examining the interface and judging its compliance with recognized usability principles (the " heuristics ").
A cognitive walkthrough is task-specific, whereas heuristic evaluation takes a holistic view to catch problems not caught by this and other usability inspection methods. The method is rooted in the notion that users typically prefer to learn a system by using it to accomplish tasks, rather than, for example, studying a manual.
Nielsen founded the usability engineering movement for efficient and affordable improvements of user interfaces and he has invented several usability methods, including heuristic evaluation. He holds more than a thousand United States patents, [ 11 ] [ 12 ] mainly on ways of improving usability for technology.
Heuristic evaluation is a usability engineering method for finding and assessing usability problems in a user interface design as part of an iterative design process. It involves having a small set of evaluators examining the interface and using recognized usability principles (the "heuristics").
Best-first search is a class of search algorithms which explores a graph by expanding the most promising node chosen according to a specified rule.. Judea Pearl described best-first search as estimating the promise of node n by a "heuristic evaluation function () which, in general, may depend on the description of n, the description of the goal, the information gathered by the search up to ...
A heuristic evaluation or usability audit is an evaluation of an interface by one or more human factors experts. Evaluators measure the usability, efficiency, and effectiveness of the interface based on usability principles, such as the 10 usability heuristics originally defined by Jakob Nielsen in 1994.
Heuristic processing is related to the concept of "satisficing." [8] Heuristic processing is governed by availability, accessibility, and applicability. Availability refers to the knowledge structure, or heuristic, being stored in memory for future use. Accessibility of the heuristic applies to the ability to retrieve the memory for use.
The availability heuristic (also known as the availability bias) is the tendency to overestimate the likelihood of events with greater "availability" in memory, which can be influenced by how recent the memories are or how unusual or emotionally charged they may be. [20] The availability heuristic includes or involves the following: