Applying CPM-GOMS to Two-handed Korean Text Entry Task on Mobile Phone

Abstract

In this study, we employ CPM-GOMS analysis for explaining physical and cognitive processes and for quantitatively predicting when users are typing Korean text messages on mobile phones using both hands. First, we observe the behaviors of 10 subjects, when the subjects enter keypads with both hands. Then, basing upon MHP, we categorize the behaviors into perceptual, cognitive, motor operators, and then we analyze those operators. After that, we use the critical paths to model two task sentences. Also, we used Fitts' law method which was applied many times to predict text entering time on mobile phone to compare with the results of our CPM-GOMS model. We followed Lee's (2008) method that is well suited for text entry task using both hands and calculate total task time for each task sentences. For the sake of comparison between the actual data and the results predicted from our CPM-GOMS model, we empirically tested 10 subjects and concluded that there were no significant differences between the predicted values and the actual data. With the CPM-GOMS model, we can observe the human information processes composed on the physical and cognitive processes. Also we verified that the CPM-GOMS model can be well applied to predict the users' performance when they input text messages on mobile phones using both hands by comparing the predicted total task time with the real execution time.

A Unit Touch Gesture Model of Performance Time Prediction for Mobile Devices

“…Studies on revised models on touch gestures reflecting the mobile environment are actively carried out recently, when smart devices such as cellphones and tablet PCs embedded with a touch screen are vigorously released in the markets (Amant et al, 2007;Holleis et al, 2007;Lee and Myung, 2009;Back and Myung, 2011;Choi et al, 2013). These studies predicted gesture performance time by revising or re-defining the existing operator.…”