Abstract

This paper proposes a novel text interface using deep learning in a mobile platform environment and presents the English language teaching applications created based on our interface. First, an interface for handwriting texts is designed with a simple structure based on a touch-based input method of mobile platform applications. This input method is easier and more convenient than the existing graphical user interface (GUI), in which menu items such as buttons are selected repeatedly or step by step. Next, an interaction that intuitively facilitates a behavior and decision making from the input text is proposed. We propose an interaction technique that recognizes a text handwritten on the text interface through the Extended Modified National Institute of Standards and Technology (EMNIST) dataset and a convolutional neural network (CNN) model and connects the text to a behavior. Finally, using the proposed interface, we create English language teaching applications that can effectively facilitate learning alphabet writing and words using handwriting. Then, the satisfaction regarding the interface during the educational process is analyzed and verified through a survey experiment with users.

Highlights

  • User interfaces for human–computer interactions (HCIs) have evolved in user-oriented, easy, and convenient ways, and are considered as an important technology in various platform and application areas

  • We proposed a novel interface using deep learning that is easy and convenient to use with an intuitive structure for interactions that can improve the educational effects by triggering immersion and interest in the education process in mobile platform environments

  • We designed an interface that can interact with the virtual environment using a minimal graphical user interface (GUI) by drawing handwritten texts based on the touch-based input method of the mobile platform

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Summary

Introduction

User interfaces for human–computer interactions (HCIs) have evolved in user-oriented, easy, and convenient ways, and are considered as an important technology in various platform and application areas. Shneiderman [1] proposed a direct manipulation to provide a user interface similar to the way a user manipulates objects by hand to act and perform tasks in a real-world environment. In HCI, interfaces are provided in a form similar to the way humans behave in and manipulate the real environment and have been developed to facilitate natural interactions. Interactions with computers should consider the input device type and method and the use of the five senses, such as vision, sound, and touch, which are properly reflected in human emotion, decision making, and behavioral responses. Some studies have analyzed user interfaces in this aspect [2,3]

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