Two important metrics of performance (Luce, 1986), accuracy and speed, are dependent on the number of errors and the mean response time (RT), respectively. It is a well-known interpretive dilemma that people are willing to sacrifice accuracy in order to increase the speed of their response, called a “speed-accuracy tradeoff” (Pachella, 1974). MacKenzie and Soukoreff (2002) emphasized that both speed and accuracy should be measured and analyzed so as to prevent speed or accuracy alone from skewing the results. As explained above, performing analysis of the RTs from only the correct trials can be problematic, but provides a purer measure of speed. Given that there is no speed-accuracy tradeoff when using this method, it helps researchers to draw inferences in the same direction for both speed and accuracy, which means that enhanced performance is not only faster but also more accurate (Glickman et al., 2005). Furthermore, Proctor and Vu (2009) stated that the “use of speed-accuracy methods has been restricted to situations in which the speed-accuracy relation is of major concern, rather than being widely adopted as the method of choice” (p. 22). As this study placed user satisfaction with tactile experience ahead of task performance, only RTs for the correct trials were analyzed in order to balance the importance of task performance and user satisfaction.