Abstract

Understanding issues of users’ needs, preferences and usability plays important roles in design practice. Due to the rising diversity of users and complexity of scenarios, designers have to spend considerable time on user research. From the design practices in emerging Internet corporations, such user research has become one of the greatest costs. In this regard, a faster, cheaper and smarter user research is highly in demand in industry. Meanwhile, as an emerging technology, artificial intelligence (AI) has been widely used and brought significant improvement of efficiency to different fields of study such as finance, healthcare, and manufacture. Therefore, it is promising to apply AI and relating data technology into design process to improve the efficiency and quality of design.

This talk will introduce how to improve the speed for interaction design through utilizing data mining and machine learning in user research, which is the key part of design process.