Title :
Performance simulation of unforced choice paradigms in parametric psychometric procedures
Author :
Hatzfeld, Christian ; Kupnik, Mario ; Werthschutzky, Roland
Author_Institution :
Inst. of Electromech. Design, Tech. Univ. Darmstadt, Darmstadt, Germany
Abstract :
This paper shows an implementation of the Ψ and UML (Updated Maximum Likelihood) methods to incorporate unforced choice paradigms (nAUC) and simulation results for repeatability, efficiency and accuracy. Parametric methods like Ψ and UML promise higher accuracy and efficiency compared to classic and non-parametric methods and support fixed sets of stimuli. Unforced choice paradigms have shown similar performance as forced choice paradigms but are expected to create less confusion for test subjects for low stimuli intensities.
Keywords :
maximum likelihood estimation; psychometric testing; Updated Maximum Likelihood methods; nonparametric methods; parametric psychometric procedures; unforced choice paradigms; Accuracy; Convergence; Entropy; Haptic interfaces; Maximum likelihood estimation; Unified modeling language;
Conference_Titel :
World Haptics Conference (WHC), 2015 IEEE
Conference_Location :
Evanston, IL
DOI :
10.1109/WHC.2015.7177757
