Σύγκριση μεθόδων

	Κλίμακα Ευχρηστίας Συστήματος	Πρωτόκολλο Σκέψης σε Φωναχτή Έκφραση (Think-Aloud Protocol)
Πεδίο	Αλληλεπίδραση Ανθρώπου-Υπολογιστή	Αλληλεπίδραση Ανθρώπου-Υπολογιστή
Οικογένεια	Hypothesis test	Hypothesis test
Έτος προέλευσης	1986	1980
Δημιουργός	John Brooke	K. Anders Ericsson and Herbert A. Simon, adapted to HCI by Clayton Lewis
Τύπος	Rapid, post-use questionnaire scale for measuring perceived usability	Protocol for capturing user cognition and decision-making during task execution
Θεμελιώδης πηγή	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	Ericsson, K. A., & Simon, H. A. (1980). Verbal reports as data. Psychological Review, 87(3), 215–251.
Εναλλακτικές ονομασίες	SUS, System Usability Score	Talk-Aloud Protocol, Concurrent Thinking Aloud, TA
Συναφείς	4	4
Σύνοψη	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.	The Think-Aloud Protocol is a usability testing method in which participants verbalize their thoughts while completing tasks on a system. As users navigate an interface, they continuously narrate their observations, interpretations, and reasoning, allowing researchers to understand their mental models, decision-making, and frustration points. Originating from cognitive psychology research by Ericsson and Simon (1980), this method was adapted for HCI by Clayton Lewis and has become one of the most widely used techniques for identifying usability problems and understanding user behavior.