Article citationsMore>>

Ruan, S., Wobbrock, J.O., Liou, K., Ng, A. and Landay, J.A. (2018) Comparing Speech and Keyboard Text Entry for Short Messages in Two Languages on Touchscreen Phones. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 1, 23 p.
https://dl.acm.org/citation.cfm?doid=3178157.3161187
https://doi.org/10.1145/3161187

has been cited by the following article:

• 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.