Measuring and Improving User Experience Through Artificial Intelligence-Aided Design.This paper aims to propose a methodology for measuring user experience (UX) by using artificial intelligence-aided design (AIAD) technology in mobile application design.  Unlike the traditional assistance design tools, AIAD focuses on the rational use of artificial intelligence (AI) technology to measure and improve UX since conventional data collection methods (such as user interview and user observation) for user behavior data are inefficient and time-consuming. 
AIAD
Measuring and Improving User Experience Through Artificial Intelligence-Aided Design.This paper aims to propose a methodology for measuring user experience (UX) by using artificial intelligence-aided design (AIAD) technology in mobile application design.  We propose to obtain user behavior data from logs of mobile application.  In order to protect the privacy of users, only a few dimensions of information is used in the process of browsing and operating mobile application.  The goal of the proposed methodology is to make the deep neural network model simulate the user's experience in the process of operating a mobile application as much as possible. 
mobile application
We design and use projected pages of application to train neural networks for specific tasks. 
neural networks
Measuring and Improving User Experience Through Artificial Intelligence-Aided Design.This paper aims to propose a methodology for measuring user experience (UX) by using artificial intelligence-aided design (AIAD) technology in mobile application design.  Unlike the traditional assistance design tools, AIAD focuses on the rational use of artificial intelligence (AI) technology to measure and improve UX since conventional data collection methods (such as user interview and user observation) for user behavior data are inefficient and time-consuming. 
AIAD