@inproceedings{758a4896413f4f9ba029e8ee6645af5f,
title = "IoT-aware online shopping system enhanced with gaze analysis",
abstract = "In online business, it is important to construct sale web pages offering attractive services for popular products in order to improve page access as well as purchase rates. Moreover, online shop owners need to hold various types of (campaign) sales frequently throughout the year to keep customers coming back. Also, online shopping systems have to adapt to its circumstances such as customers' needs and the surrounding economic situations. To cope with these requirements, a self-organized IoT (Internet of Things) aware systems is proposed for online shopping. In our approach, awareness is achieved by monitoring/analyzing the data of user's behavior, in particular the eye gaze. The particular focus here is the analysis of the users' eye gaze with the objective to derive insights about products the user is interested in or not and adapt the system accordingly by presenting other products with similar attributes, hiding products with less interesting attributes and building a user's interest model by integrating all the positive preferences.",
keywords = "customer behavior, e-commerce, efficient sale management, eye-gaze, implicit acquisition, self-organize",
author = "Yukiko Yamamoto and Takashi Kawabe and Setsuo Tsuruta and Ernesto Damiani and Atsuo Yoshitaka and Yoshiyuki Mizuno and Rainer Knauf",
note = "Publisher Copyright: {\textcopyright} 2016 TSI Enterprise Inc (TSI Press).; 2016 World Automation Congress, WAC 2016 ; Conference date: 31-07-2016 Through 04-08-2016",
year = "2016",
month = oct,
day = "4",
doi = "10.1109/WAC.2016.7583028",
language = "British English",
series = "World Automation Congress Proceedings",
publisher = "IEEE Computer Society",
booktitle = "2016 World Automation Congress, WAC 2016",
address = "United States",
}