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| AttrakDiff/UEQ× | System Usability Scale× | |
|---|---|---|
| Ämnesområde | Människa-datorinteraktion | Människa-datorinteraktion |
| Familj | Hypothesis test | Hypothesis test |
| Ursprungsår≠ | 2003 | 1986 |
| Upphovsperson≠ | Marc Hassenzahl (AttrakDiff), Martin Schrepp (UEQ) | John Brooke |
| Typ≠ | Questionnaire measuring pragmatic and hedonic quality dimensions | Rapid, post-use questionnaire scale for measuring perceived usability |
| Ursprungskälla≠ | 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. DOI ↗ | 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 |
| Alias≠ | Hedonic Quality Assessment, Pragmatic vs. Hedonic, UEQ | SUS, System Usability Score |
| Närliggande | 4 | 4 |
| Sammanfattning≠ | 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. | 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. |
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