This book analyzes well-grounded findings and recent insights on human perception and cognitive abilities and how these findings can and should impact the development and design of applications through the use of intelligent interfaces. This chapter examines how to estimate the number of users necessary to test user experience. The authors examine the Return On Investment model that helps predict the number of users necessary to evaluate a system. They argue that this mode is not suitable if testing has to be performed by more than one category or users. They proposed that the bootstrap model makes a more accurate estimation of the number of users needed to test any system. They find that in their case, 5 is not enough for testing.
The Bootstrap Discovery Behaviour Model: Why Five Users are Not Enough to Test User Experience
BORSCI, SIMONE;FEDERICI, Stefano;
2012
Abstract
This book analyzes well-grounded findings and recent insights on human perception and cognitive abilities and how these findings can and should impact the development and design of applications through the use of intelligent interfaces. This chapter examines how to estimate the number of users necessary to test user experience. The authors examine the Return On Investment model that helps predict the number of users necessary to evaluate a system. They argue that this mode is not suitable if testing has to be performed by more than one category or users. They proposed that the bootstrap model makes a more accurate estimation of the number of users needed to test any system. They find that in their case, 5 is not enough for testing.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
