Linganisha mbinu

	System Usability Scale	AttrakDiff/UEQ
Nyanja	Mwingiliano wa Binadamu na Kompyuta	Mwingiliano wa Binadamu na Kompyuta
Familia	Hypothesis test	Hypothesis test
Mwaka wa asili	1986	2003
Mwanzilishi	John Brooke	Marc Hassenzahl (AttrakDiff), Martin Schrepp (UEQ)
Aina	Rapid, post-use questionnaire scale for measuring perceived usability	Questionnaire measuring pragmatic and hedonic quality dimensions
Chanzo asilia	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	Hassenzahl, M. (2003). The thing and I: Understanding the relationship between user and product. In M. A. Blythe, K. Overbeeke, A. F. Monk, & P. C. Wright (Eds.), Funology (pp. 31–42). Kluwer Academic Publishers.
Majina mbadala	SUS, System Usability Score	Hedonic Quality Assessment, Pragmatic vs. Hedonic, UEQ
Zinazohusiana	4	4
Muhtasari	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.	AttrakDiff and the User Experience Questionnaire (UEQ) are assessment instruments for measuring user experience across multiple dimensions. AttrakDiff, developed by Marc Hassenzahl, evaluates the tension between pragmatic quality (functionality, usability, does the system do what I need?) and hedonic quality (beauty, emotional engagement, does it delight me?). The UEQ, developed by Schrepp and colleagues, extends this framework with additional dimensions including efficiency, perspicuity, stimulation, and novelty. Both instruments provide quantitative post-use assessment, complementing task-based usability testing with holistic experience evaluation.