Abstract
With the advent of the 5G and Artificial Intelligence of Things (AIoT) era, related technologies such as the Internet of Things, big data analysis, cloud applications, and artificial intelligence have brought broad prospects to many application fields, such as smart homes, autonomous vehicles, smart cities, healthcare, and smart campus. At present, most university campus app is presented in the form of static web pages or app menus. This study mainly developed a Deep Neural Network (DNN) based emotionally aware campus virtual assistant. The main contributions of this research are: (1) This study introduces the Chinese Word Embedding to the robot dialogue system, effectively improving dialogue tolerance and semantic interpretation. (2) The traditional method of emotion identification must first tokenize the Chinese sentence, analyze the clauses and part of speech, and capture the emotional keywords before being interpreted by the expert system. Different from the traditional method, this study classifies the input directly through the convolutional neural network after the input sentence is converted into a spectrogram by Fourier Transform. (3) This study is presented in App mode, which is easier to use and economical. (4) This system provides a simple voice response interface, without the need for users to find information in complex web pages or app menus.
Highlights
With the rapid development of mobile devices and the Internet, the way of information dissemination has evolved from early print media, television, and broadcasting to today’s various mobile devices and app applications
Different from the traditional method, this study classifies the input directly through the convolutional neural network after the input sentence is converted into a spectrogram by Fourier Transform
Due to the rise of the Artificial Intelligence of Things (AIoT), Big Data, Interactive Technology and Artificial Intelligence, Smart Campus related applications are gradually being valued by all walks of life
Summary
With the rapid development of mobile devices and the Internet, the way of information dissemination has evolved from early print media, television, and broadcasting to today’s various mobile devices and app applications. Chiu et al.: Enabling Intelligent Environment by the Design of Emotionally Aware Virtual Assistant campus-related apps to facilitate teachers, classmates, freshmen or parents to conduct a variety of school affairs, academic inquiry and management operations directly on the mobile phone. This study uses the deep network technology to develop emotionally aware chatbot and combined with the campus student affairs app to implement an emotional aware, humanized and personalized campus virtual assistant. Due to the rise of the Artificial Intelligence of Things (AIoT), Big Data, Interactive Technology and Artificial Intelligence, Smart Campus related applications are gradually being valued by all walks of life. The clarity, flexibility, and responsiveness of academic application interactions enable a campus model of smart chemistry management. With the rise of machine learning and deep learning, various artificial intelligence applications are constantly being
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