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| Skala procenjene upotrebljivosti sistema× | NASA-TLX× | |
|---|---|---|
| Oblast | Interakcija čoveka i računara | Interakcija čoveka i računara |
| Porodica | Hypothesis test | Hypothesis test |
| Godina nastanka≠ | 1986 | 1988 |
| Tvorac≠ | John Brooke | Sandra Hart and Lowell Staveland |
| Tip≠ | Rapid, post-use questionnaire scale for measuring perceived usability | Multi-dimensional post-task questionnaire for measuring subjective mental workload |
| Temeljni izvor≠ | 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 | Hart, S. G., & Staveland, L. E. (1988). Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research. In P. A. Hancock & N. Meshkati (Eds.), Human Mental Workload (pp. 139–183). Elsevier. DOI ↗ |
| Drugi nazivi≠ | SUS, System Usability Score | Task Load Index, TLX, NASA-TLX |
| Srodne | 4 | 4 |
| Sažetak≠ | 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 NASA Task Load Index (TLX) is a multi-dimensional subjective workload assessment tool developed at NASA Ames Research Center by Sandra Hart and Lowell Staveland in the 1980s. TLX measures perceived mental workload across six dimensions—mental demand, physical demand, temporal demand, performance, effort, and frustration—allowing researchers and practitioners to understand the cognitive and affective burden of tasks and interfaces. The instrument is widely used in human factors, cognitive engineering, and HCI to identify task bottlenecks and evaluate system designs. |
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