A Method for Predicting Tappability of Interface Elements in Mobile Application Using Layout Features

Key Points

• The research aims to accurately predict the tappability of interface elements in mobile applications using layout characteristics.
• Defined layout features such as position, size, and spacing of elements.
• Utilized a support vector machine (SVM) model for prediction.
• Tested the proposed model using an existing dataset with a consistent structure.
• Achieved an F1 score of 0.772, indicating strong predictive performance.
• Showed that using layout information alone can yield competitive prediction results.

Abstract