Methoden vergleichen

	Heuristische Evaluation	System Usability Scale
Fachgebiet	Mensch-Computer-Interaktion	Mensch-Computer-Interaktion
Familie	Hypothesis test	Hypothesis test
Entstehungsjahr	1990	1986
Urheber	Jakob Nielsen and Rolf Molich	John Brooke
Typ	Expert-based inspection using established design principles	Rapid, post-use questionnaire scale for measuring perceived usability
Wegweisende Quelle	Nielsen, J. (1994). Heuristic evaluation of user interfaces. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 249–256).	Brooke, J. (1986). System Usability Scale (SUS): A quick and dirty usability scale. In B. Shackel & S. J. Richardson (Eds.), Usability Evaluation in Industry (pp. 189–194). Taylor & Francis. ISBN: 0-85066-375-X
Aliasnamen	HE, Expert Evaluation, Nielsen's Heuristics	SUS, System Usability Score
Verwandt	4	4
Zusammenfassung	Heuristic Evaluation is a usability inspection method in which small teams of expert evaluators examine an interface and judge its compliance with established usability principles (heuristics). Developed by Jakob Nielsen and Rolf Molich in 1990, this method is rapid and low-cost, identifying 60–90% of usability problems with as few as 3–5 evaluators. Nielsen's Ten Usability Heuristics—visibility of system status, match between system and real world, user control and freedom, consistency and standards, error prevention and recovery, recognition over recall, flexibility and efficiency, aesthetic and minimalist design, error recovery, and documentation—form the basis of most evaluations.	The System Usability Scale (SUS) is a rapid, standardized 10-item questionnaire for measuring perceived system usability in a single summary score. Developed by John Brooke in 1986, SUS has become one of the most widely used post-use usability instruments in industry and research. The scale is administered after a user has interacted with a system, capturing perceived ease of use, learnability, error recovery, and overall satisfaction with a quick, economical assessment that correlates well with comprehensive usability testing.