Algorithm for Predicting the Speed of Gesture Interaction with the User Interface of a Mobile Software Application

Abstract

In this article, Keystroke Level Model and Touchless Hand Gesture Level Model were adapted, as well as Fitts’s law, to work with touch screens of the mobile devices. The article takes into account typical gestures that users most often perform in the process of interaction with touch screens of mobile devices (Tap, Pinch, Swipe, Pan, Drag-and-Drop), as well as time components of gestures (time for direct execution of a gesture, time for mental preparation for the gesture, time for the user to select the necessary grip on the mobile device, time to select the ‘dominant’ hand to perform gestures, the time to select the finger to perform the gesture, time to move the hand away from the touch screen). A method for determining the speed of user gesture interaction has been developed. The problem was formulated and an algorithm was developed. The details of the operation and use of the algorithm are considered. A list of arrays and variables used as initial data for determining the speed of the sequence execution of operations using gesture interaction has been developed. The preparation of the initial data for the operation of the algorithm provides for a research experiment to obtain average values of the temporal components of gestures. The developed algorithm is intended for use at the design stage of mobile software applications that will run on mobile devices with touch screens.