Extracting Flick Operator for Predicting Performance by GOMS Model in Small Touch Screen

Abstract

Objective: The purpose of this study is to extract GOMS manual operator, except for an experiment with participants. Background: The GOMS model has advantage of rapid modeling which is suitable for the environment of technology development which has a short life cycle products with a fast pace. The GOMS model was originally designed for desktop environment so that it is not adequate for implementing into the latest HCI environment such as small touch screen device. Therefore, this research proposed GOMS manual operator extraction methodology which is excluded experimental method. And flick Gesture was selected to explain application of proposed methodology to extract new operator. Method: Divide into start to final step of hand gesture needed to extract as an operator through gesture task analysis. Then apply the original GOMS operator to each similar step of gesture and modify the operator for implementation stage based on existing Fitts' law research. Steps that are required to move are modified based on the Fitts' law developed in touch screen device. Finally, new operator can be derived from using these stages and a validation experiment, performed to verify the validity of new operator and methodology by comparing human performance. Results: The average movement times of the participants' performance and the operator which is extracted in case study are not different significantly. Also the average of movement times of each type of view study is not different significantly. Conclusion: In conclusion, the result of the proposed methodology for extracting new operator is similar to the result of the experiment with their participants. Furthermore the GOMS model included the operator by the proposed methodology in this research could be applied successfully to predict the user's performance. Application: Using this methodology could be applied to develop new finger gesture in the touch screen. Also this proposed methodology could be applied to evaluate the usability of certain system rapidly including the new finger gesture performance.

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.…”

2C3-4 Usability Evaluation of Flicking Gesture Area for Effective Page Shifting of a Smart Phone

“…Therefore, in this study we investigate using behavior based on user characteristics [7], touch distance and time using flicking gestures in smartphone interaction [8], evaluate user satisfaction on flicking gestures and satisfaction on optimal flicking time interval. Recently, a study predicting human performance on the touch screen through GOMS model was published [9]. However, studies on touch area design for page shift based on usage assessment (i.e.…”