เปรียบเทียบวิธี

	AttrakDiff/UEQ	NASA-TLX
สาขาวิชา	ปฏิสัมพันธ์ระหว่างมนุษย์กับคอมพิวเตอร์	ปฏิสัมพันธ์ระหว่างมนุษย์กับคอมพิวเตอร์
ตระกูล	Hypothesis test	Hypothesis test
ปีกำเนิด	2003	1988
ผู้ริเริ่ม	Marc Hassenzahl (AttrakDiff), Martin Schrepp (UEQ)	Sandra Hart and Lowell Staveland
ประเภท	Questionnaire measuring pragmatic and hedonic quality dimensions	Multi-dimensional post-task questionnaire for measuring subjective mental workload
แหล่งต้นตำรับ	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.	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.
ชื่อเรียกอื่น	Hedonic Quality Assessment, Pragmatic vs. Hedonic, UEQ	Task Load Index, TLX, NASA-TLX
ที่เกี่ยวข้อง	4	4
สรุป	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 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.