手法を比較

	カノモデル	AttrakDiff/UEQ
分野	ヒューマンコンピュータインタラクション	ヒューマンコンピュータインタラクション
系統	Hypothesis test	Hypothesis test
提唱年	1984	2003
提唱者	Noriaki Kano	Marc Hassenzahl (AttrakDiff), Martin Schrepp (UEQ)
種類	Two-dimensional model categorizing product/service features by satisfaction impact	Questionnaire measuring pragmatic and hedonic quality dimensions
原典	Kano, N., Seraku, N., Takahashi, F., & Tsjui, S. (1984). Attractive quality and must-be quality. Journal of the Japanese Society for Quality Control, 14(2), 147–156.	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.
別名	Kano Analysis, Attractive-Performance-Basic Model	Hedonic Quality Assessment, Pragmatic vs. Hedonic, UEQ
関連	3	4
概要	The Kano Model is a framework for categorizing product or service features based on their impact on customer satisfaction. Developed by Noriaki Kano, this model distinguishes three types of features: basic (must-have) features that satisfy minimally but cause significant dissatisfaction if absent; performance features that increase satisfaction proportionally with their level; and attractive (delightful) features that exceed expectations and generate disproportionate satisfaction. By classifying features using the Kano Model, product teams prioritize development efforts, balance risk and innovation, and design experiences that delight rather than merely satisfy.	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.