TITLE:
Outfit Helper: A Dialogue-Based System for Solving the Problem of Outfit Matching
AUTHORS:
Boyu Zhang, Qin Wang
KEYWORDS:
Artificial Intelligence, Intelligent Systems, Conversational Agents, Outfit Planning System, Conversational User Interfaces
JOURNAL NAME:
Journal of Computer and Communications,
Vol.7 No.12,
December
16,
2019
ABSTRACT: With the development of artificial intelligence in recent decades, intelligent algorithms such as visual recognition and natural language processing have affected and will continue to affect our lives. A smart device designed to help people make wise decisions on dress through dialogue would be a very convenient tool. By using a color extraction algorithm and natural language processing methods, we have built an outfit planning chatbot, named Outfit Helper, that can help male users decide what to wear in order to dress well. According to our study, most users think that the Outfit Helper is a good choice for solving the clothing matching problem. This study shows that our lives can become much easier by developing and using artificial intelligence to help us choose our clothing.