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.
Highlights
A great number of applications of artificial intelligence (AI) have helped people live better
In this research—based on conversational outfit planning systems, computer vision, and color match analysis—we developed a chatbot named Outfit Helper that consists of four key parts: a dialogue system, a connection with third-party Internet services, a color wheel algorithm, and an intelligent response system
In study 1, we proposed three questions in the form of a questionnaire provided to each participant before starting the experiment: 1) How many times did you use Outfit Helper this week? And how many times did you accept its advice?
Summary
A great number of applications of artificial intelligence (AI) have helped people live better. A majority of people use intelligent customer service, machine workers, chatbots, and so on to make their life more convenient. With the development of AI technologies, natural language processing (NLP) has become increasingly popular. Researchers have successfully developed many chatbots based on NLP1, such as ELIZA [1], XiaoIce [2], PARRY, and Racter, among others. Wang wide utilization of NLP has led to more intellectual and natural interactions through conversations between people and machines in therapy, customer service, virtual assistance, and many other areas [3] [4] [5]
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