Faculty Profiles - Matsuda Yuki

Papers - Matsuda Yuki

Division display 101 - 120 of about 275 ／ All the affair displays >>

Kaolid: Lid-type Olfactory Interface to Improve Taste of Beverages with Ortho-Retronasal Smell Reviewed

Daiki Mayumi, Yugo Nakamura, Yuki Matsuda, Kentaro Ueda, Shinya Misaki, Keiichi Yasumoto

The 20th International Conference on Pervasive Computing and Communications (PerCom '23) 1 - 3 2023.3

Language：English Publishing type：Research paper (international conference proceedings)

There are two nasal pathways through which we perceive odors: 'orthonasal smell,' which comes from the tip of the nose, and 'retronasal smell,' which comes from the mouth and exits through the nose. In particular, the retronasal smell is known to be more critical in influencing perceived taste than the orthonasal smell. In this study, we propose a smart lid called Kaolid that changes the taste of beverages by presenting scent information as retronasal smell. Kaolid achieves retronasal smell by equipping a small, lightweight straw- or cup-type olfactory device with a sensor that senses drinking behavior and the amount of water in the cup. The straw-type device injects the scent into the tube through the middle of the straw, delivering the scent to the user's mouth simultaneously as the beverage is being consumed. The cup-type device injects the scent into the cup through the lid and delivers the scent to the user's mouth at the beginning of drinking to achieve in-mouth scenting. The concept of Kaolid is to promote water consumption, considered insipid, by altering the sense of taste through a scent presented when drinking the beverage.

DOI： 10.1109/PerComWorkshops56833.2023.10150412

Scopus

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Towards Cheaper Tourists' Emotion and Satisfaction Estimation with PCA and Subgroup Analysis Reviewed

Lucas Maris, Yuki Matsuda, Ramin Sadre, Keiichi Yasumoto

The 20th International Conference on Pervasive Computing and Communications Workshops (PerCom '23 Workshops) 1 - 6 2023.3

テレビ視聴行動を再現するエージェントシミュレータの構築に向けた基礎分析 Reviewed

松田裕貴, 榊原太一, 真弓大輝, 松田裕貴, 安本慶一

第15回データ工学と情報マネジメントに関するフォーラム（DEIM '23） 1 - 6 2023.3

地球の歩き方旅行記データセット

大内啓樹, 進藤裕之, 若宮翔子, 松田裕貴, 井之上直也, 東山翔平, 中村哲, 渡辺太郎

言語処理学会第29回年次大会（NLP '23） 2920 - 2924 2023.3

BLE受信状況を用いた混雑度推定手法のオフィスのオープンスペースへの適用

上田健太郎, 松田裕貴, 伊勢田氷琴, 立花巧樹, 呉健朗, 須田哲生, 古野雅人, 諏訪博彦

第46回社会におけるAI研究会（SIG-SAI） 1 - 7 2023.3

BLEを用いたバスのリアルタイム乗車人数推定手法の提案と評価

後藤逸兵, 上田健太郎, 佐瀬凌太, 松田裕貴, 諏訪博彦, 安本慶一

第46回社会におけるAI研究会（SIG-SAI） 1 - 7 2023.3

Exploring Gaze Tracking & Code Logging in IDEs as a Passive Way to Ask for Help in Introduction to Programming Classes Reviewed

Mario Carreon, Yuki Matsuda, Hirohiko Suwa, Keiichi Yasumoto

Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 2 (SIGCSE '23) 1270 - 1270 2023.3

テレビCMがネット検索行動に与える影響の調査システムの開発

木俣雄太, 鳥羽望海, 真弓大輝, 松田裕貴, 榊原太一, 松田裕貴

社会情報学会関西支部研究会（SSI） 1 - 8 2023.3

Kaolid: 飲料の味変化のための口中香を実現する蓋型嗅覚デバイスの設計と基礎評価

真弓大輝, 中村優吾, 松田裕貴, 三崎慎也, 安本慶一

IoT行動変容学研究グループ第３回研究会（BTI3） 1 - 8 2023.3

ユーザ嗜好と血糖値を考慮した高血糖抑制支援システムの実現と評価

道浦菜々子, 松田裕貴, 諏訪博彦, 安本慶一

電子情報通信学会技術研究報告, センサネットワークとモバイルインテリジェンス研究会（SeMI） 122 ( 390 ) 31 - 36 2023.3

DAMAGE DETECTION METHOD FOR LARGE CEILINGS USING IMAGE DIFFERENCING AND GRAD-CAM PROCEDURES Reviewed

Yuta KODA, Ken’ichi KAWAGUCHI, Teruhiro MIZUMOTO, Yuki MATSUDA

AIJ Journal of Technology and Design 29 ( 71 ) 132 - 137 2023.2

Proposal and Practice of Integration Method for Large Scale TV viewing log data Across Broadcasters Reviewed

Hiroki Matsuda, Taichi Sakakibara, Yuki Matsuda, Teruhiro Mizumoto, Keiichi Yasumoto

IPSJ Transactions on Digital Practices 4 ( 1 ) 34 - 44 2023.1

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Information Processing Society of Japan

Recently, TV broadcasters have been collecting and utilizing non-personal TV viewing log data, including start and end times of viewing, from TVs connected to the Internet in a format that does not identify individual viewers. However, since each broadcaster can only use its own non-personal TV viewing log data, it has not yet been able to obtain useful knowledge despite the vast amount of data it has accumulated. In addition, the collection methods and data granularity of non-personal TV viewing log data vary from station to station, and the data accumulated by each station cannot be integrated and used. In this paper, we propose a method for matching non-personal TV viewing log data collected by each broadcaster using its own method, and integrate the data. In the proposed method, TVs whose channel transition timing matches five items collected at the time of non-personal TV viewing log data collection (IP address, ZIP code, TV receiver manufacturer ID, browser major version, and browser minor version) are presumed to be the same TV. This method was applied to a “joint technology verification experiment on TV viewing log data linkage” conducted by four broadcasters in Osaka to verify the technical feasibility of linking non-personal TV viewing log data among broadcasters. We confirmed that we were able to match approximately 2.67 million TV sets, which corresponds to 71.0% of the 3.76 million unique TV sets acquired by each broadcaster.

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Other Link： https://ipsj.ixsq.nii.ac.jp/ej/?action=repository_uri&item_id=223508&file_id=1&file_no=1

車載動画キュレーションのための観光地らしさ推定モデルの構築

河中昌樹, 松田裕貴, 諏訪博彦, 安本慶一

第29回社会情報システム学シンポジウム（ISS29） 1 - 7 2023.1