ウ　ジンソク   WOO JINSEOK   禹　珍碩    所属   工学部 機械工学科    職種   専任講師
言語種別	英語
発行・発表の年月	2024/11
形態種別	国際会議論文
査読	査読あり
標題	Design of a User State Estimation to Enhance Human-friendly Services
執筆形態	共著
掲載誌名	The 11th International Symposium on Computational Intelligence and Industrial Applications (ISCIIA 2024) & the 15th China-Japan International Workshop on Information Technology and Control Applications (ITCA2024) (ISCIIA&ITCA2024)
掲載区分	国外
出版社・発行元	ISCIIA&ITCA2024
巻・号・頁	pp.1-21
総ページ数	21
担当区分	最終著者,責任著者
著者・共著者	Yuka Sone, Jinseok Woo, Yasuhiro Ohyama.
概要	In recent years, the mechanization and automation of the service industry have advanced rapidly. Additionally, smart home appliance systems utilizing IoT technology are becoming increasingly widespread in general households. These systems are standardized based on their services and are operated through devices such as remote controls, executing commands specified by the user. However, users are required to configure the system in advance to align with the service system. In contrast, human-provided services are not limited to predetermined commands but adapt their support patterns based on the recipient's emotions and atmosphere. Replacing humans with robotic systems poses significant challenges in providing services tailored to the user's emotional state or intentions. In light of this, the present study proposes a system that analyzes user gaze during the operation of smart home appliances to construct a service system that is more responsive to human needs. The experimental system is developed within a Mixed Reality(MR) environment, where gaze information is analyzed as users interact with appliances of interest. By incorporating support from a virtual robot partner, the system evaluates how closely the assistance aligns with the user's intent. Through the measurement of gaze movements, the system was able to provide the information users were seeking. It is anticipated that by inferring users' impressions of target objects based on their gaze data, the system will be capable of delivering more advanced and personalized services.
外部リンクURL	https://isciia-itca.bit.edu.cn/index.htm