Faculty Profiles - Matsuda Yuki

Papers - Matsuda Yuki

Division display 1 - 20 of about 275 ／ All the affair displays >>

Abacus Manipulation Understanding by Behavior Sensing Utilizing Document Camera as a Sensor Reviewed

Yuki Matsuda

International Journal of Activity and Behavior Computing 2024 ( 1 ) 1 - 16 2024.5

Authorship：Lead author,　Last author,　Corresponding author Language：English Publishing type：Research paper (scientific journal)

The abacus (also known as Soroban) is a numerical calculation tool that is traditionally used in East Asian countries. With the advancement of information technologies, the abacus is no longer used as a standard calculation tool. However, abacus learning is garnering global attention due to the secondary skills it can foster, e.g., mental arithmetic ability. Numerical calculation using an abacus requires learning numerical expressions using the beads of the abacus and manipulating beads in multiple ways and in different orders. Due to this complexity, a long period of repeated learning is usually required to acquire the skill of using the abacus. However, the teaching method of the abacus mainly relied on lecturers' observation through finding errors and poor bead manipulations and pointing them out, and there is no other way but to rely on human labor at this moment. In this study, we aim to realize an ICT-based learning support system for arithmetic with a common abacus. This paper proposes a method of estimating input values on an abacus based on image recognition captured by a document camera. Through the evaluation experiments, we have confirmed that the proposed method showed an accuracy of 95.0% in the estimation of 7-digit number input on an abacus. Additionally, this paper will provide discussions to realize the proposed method with other cameras such as wearable camera devices, and to design the coaching system of abacus learning.

DOI： 10.60401/ijabc.2

researchmap

Nishorobo-Kun: Practices of Top-to-bottom Sectioning Activity utilizing GIGA-School Devices through Co-creating Web-Application for Spreading Charms of Residential Areas Reviewed

Yuki Matsuda, Eriko Ozaki, Okito Hidaka, Yuko Yoshida, Hiroyuki Ono, Masako Nakabayashi, Hiromochi Nishiura, Sinya Kubo, Seiichi Jono

4 ( 2 ) 55 - 66 2023.4

eat2pic: An Eating-Painting Interactive System to Nudge Users into Making Healthier Diet Choices Reviewed International journal

Yugo Nakamura, Rei Nakaoka, Yuki Matsuda, Keiichi Yasumoto

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 7 ( 1 ) 1 - 23 2023.3

Language：English Publishing type：Research paper (scientific journal) Publisher：Association for Computing Machinery (ACM)

Given the complexity of human eating behaviors, developing interactions to change the way users eat or their choice of meals is challenging. In this study, we propose an interactive system called eat2pic designed to encourage healthy eating habits such as adopting a balanced diet and eating more slowly, by refraining the task of selecting meals into that of adding color to landscape pictures. The eat2pic system comprises a sensor-equipped chopstick (one of a pair) and two types of digital canvases. It provides fast feedback by recognizing a user's eating behavior in real time and displaying the result on a small canvas called "one-meal eat2pic." Moreover, it also provides slow feedback by displaying the number of colors of foods that the user consumed on a large canvas called "one-week eat2pic." The former was designed and implemented as a guide to help people eat more slowly, and the latter to encourage people to select more balanced menus. Through two user studies, we explored the experience of interaction with eat2pic, in which users' daily eating behavior was reflected in a series of "paintings," that is, images produced by the automated system. The experimental results suggest that eat2pic may provide an opportunity for reflection in meal selection and while eating, as well as assist users in becoming more aware of how they are eating and how balanced their daily meals are. We expect this system to inspire users' curiosity about different diets and ways of eating. This research also contributes to expanding the design space for products and services related to dietary support.

DOI： 10.1145/3580784

researchmap

Other Link： https://youtu.be/C4KbcXRDrWo

IoPT: A Concept of Internet of Perception-aware Things Reviewed

Yuki Matsuda

Proceedings of the 12th International Conference on the Internet of Things 201 - 204 2022.11

Authorship：Lead author,　Corresponding author Language：English Publishing type：Research paper (international conference proceedings) Publisher：ACM

The Internet of Things (IoT) is undergoing remarkable technological innovation, it is expected uncountable number of IoTs will be installed everywhere and enrich our daily life in near future. There is a technical challenge that is the physically accurate data does not always match the “experience” of people, because the “perception” of people will be easily biased by various stimulations from surrounding environments. This paper presents a concept of Internet of Perception-aware Things (IoPT), which aims to fill the gap in perception between IoTs and human. Through the case study targeting subjective crowdedness, we have confirmed perception data have huge deviations though there are correlations between sensor data and perception data, and perception will be biased due to the environmental conditions.

DOI： 10.1145/3567445.3571108

researchmap

Other Link： http://research.ubi-lab.com/news/3184/

ParmoSense: Scenario-based Participatory Mobile Urban Sensing Platform with User Motivation Engine Reviewed

Yuki Matsuda, Shogo Kawanaka, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto

Sensors and Materials 34 ( 8 ) 3063 - 3063 2022.8

Authorship：Lead author,　Corresponding author Language：English Publishing type：Research paper (scientific journal) Publisher：MYU K.K.

The rapid proliferation of mobile devices with various sensors has enabled participatory mobile sensing (PMS). Several PMS platforms suffer from open issues including the limited use of their functions to a specific scenario/case and the necessity of technical knowledge for organizers. This paper proposes a novel PMS platform named ParmoSense for easy and flexible data collection. To reduce the burden on both organizers and participants, we employ two novel features. First, essential PMS functions implemented as modules can be easily chosen and combined for sensing in different scenarios. Second, the scenario-based description feature allows organizers to easily and quickly prepare a new instance of PMS and enable people to easily participate in the sensing. It also provides multiple functions to motivate participants for sustainable operation. Through a performance comparison with existing PMS platforms, we confirmed that ParmoSense shows the best cost performance in terms of the workload for preparation and the variety of functions. In addition, to evaluate the availability and usability of ParmoSense, we conducted 19 case studies over four years with ordinary citizens. As the result of a questionnaire survey carried out during the case studies, we confirmed that ParmoSense can be easily operated by ordinary citizens without technical skills.

DOI： 10.18494/sam3961

Scopus

researchmap

IoT Nudge: IoT Data-driven Nudging for Health Behavior Change Reviewed

Yugo Nakamura, Yuki Matsuda

Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers 51 - 53 2021.9

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

This paper presents an Internet of Things (IoT)-based concept called "IoT Nudge", which aims to induce continuous healthful behavior changes through interactions between human users and IoT devices, including smart sensors and actuators. More specifically, IoT Nudge systems aim to establish self-reflection loops in which our daily behaviors are reflected in the IoT devices around us. The changes in the presentations of those IoT devices promote self-Awareness and provide us with opportunities to improve our lifestyle habits. To reconfigure poor behavior into good behavior, the IoT Nudge provides three functions: (1) automatic tracking of a user's lifestyle habits using IoT sensors, (2) playfully reframing the user's daily activities into other more healthful representations based on analogies, and (3) delivering real-Time ambient feedback through reframed representations from IoT actuators that encourage self-reflection. Herein, we describe our conceptual model of IoT Nudge and introduce three prototype systems aimed at promoting health improvements: fit2plant, eat2pic, and brush2music.

DOI： 10.1145/3460418.3479280

Scopus

researchmap

博士論文速報：都市環境分析におけるヒューマンインザループセンシングの研究 Invited

松田裕貴

研究報告モバイルコンピューティングとパーベイシブシステム（MBL） 2019.8

Waistonbelt x: A belt-type wearable device with sensing and intervention toward health behavior change Reviewed

Nakamura, Y., Matsuda, Y., Arakawa, Y., Yasumoto, K.

Sensors (Switzerland) 19 ( 20 ) 2019

EmoTour: Estimating emotion and satisfaction of users based on behavioral cues and audiovisual data Reviewed International coauthorship International journal

Yuki Matsuda, Dmitrii Fedotov, Yuta Takahashi, Yutaka Arakawa, Keiichi Yasumoto, Wolfgang Minker

Sensors 18 ( 11 ) 2018

Using BLE Signals to Estimate Objective and Subjective Crowdedness Levels on Fixed-route Buses Reviewed International journal

Takumi Ikenaga, Yuki Matsuda, Ippei Goto, Kentaro Ueda, Hirohiko Suwa, Keiichi Yasumoto

IEEE Access 1 - 12 2025.4

Language：English Publishing type：Research paper (scientific journal) Publisher：Institute of Electrical and Electronics Engineers (IEEE)

Accurately estimating the crowdedness inside a fixed-route bus is essential for improving transportation system efficiency and enhancing passenger comfort. While methods using cameras or sensors installed at bus entrances to count passengers have been proposed, these methods present challenges in terms of passenger privacy, installation costs, and placement. These approaches typically use the number of passengers as an objective indicator to evaluate crowdedness. However, even with the same number of passengers, the subjective crowdedness level experienced by each passenger can vary. Thus, it is important to estimate the objective crowdedness and the subjective crowdedness level perceived by bus passengers. In this study, we developed a method for estimating objective and subjective crowdedness levels using only Bluetooth Low Energy (BLE) information collected by the existing bus location tracking system installed in fixed-route buses to reduce privacy and installation costs. Specifically, Bluetooth device (BD) addresses obtained from BLE scans are filtered based on occurrence frequency and average RSSI to distinguish between passenger and surrounding BD addresses. The number of passenger BD addresses, along with their differences and rates of change, are used as features to estimate the number of passengers and the subjective crowdedness level using machine learning models. An experiment to evaluate the BLE method produced an accuracy of 0.653 for the objective crowdedness level (number of passengers) and 0.513 for the subjective crowdedness level, indicating that BLE signal information can capture the general trend of objective and subjective crowdedness.

DOI： 10.1109/access.2025.3558988

researchmap

未登録PoI探索のための時系列SNS投稿データに基づく位置推定手法の提案と評価

澤野耕平, 松田裕貴, 中谷響, 大内啓樹, 諏訪博彦, 安本慶一

AIoT行動変容学会第9回研究会（BTI-9） 1 - 8 2025.3

パワーリフティング競技におけるウェアラブルセンサを用いたスクワット試技判定手法 Reviewed

河原美優, 松田裕貴, 後藤佑介

第17回データ工学と情報マネジメントに関するフォーラム（DEIM2025） 1 - 7 2025.3

Language：Japanese Publishing type：Research paper (conference, symposium, etc.)

近年，多くの国で，スポーツの競技力向上や怪我の予防を目的とした情報科学技術に関する研究が進められている．パワーリフティング競技の一つであるスクワットでは，試技者はバーベルを持ち上げた状態で膝を曲げ，腰の位置を下げて姿勢を低くする．このとき，ヒップジョイント部の大腿部上面が膝の上面より低くなるまでしゃがむことで，成功試技と判定される．パワーリフティング競技の技術向上のため，試技者が試技動作を効率的に習得できる仕組みを構築することは重要である．しかし，パワーリフティング競技における試技の成功判定は，3名の審判による目視に依存しており，試技者のみで試技を判定することは困難である．本研究では，ウェアラブルセンサを用いてスクワット試技の判定を支援する手法を提案する．提案手法では，試技者に装着した加速度センサの測定データを用いて機械学習を行うことで，パワーリフティングにおけるスクワット試技の成功判定を行う．また，スクワット試技の測定データを用いて機械学習モデルを作成し，Leave-One-Out Cross-Validation法による評価を行った．成功試技と失敗試技の2クラス分類に基づく混同行列および評価指標では，F-measureの値が0.643であり，機械学習モデルの精度が良好であることを確認した．提案手法を用いることで，試技者自身が試技を判定でき，実際の競技を想定したスクワット試技の動作を習得できる．

researchmap

非特定テレビ視聴履歴データに基づくテレビ視聴行動クラスタリングと視聴傾向変化分析

由田翔吾, 松田裕貴, 松田裕貴, 横田哲弥, 榊原太一, 安本慶一

AIoT行動変容学会第9回研究会（BTI-9） 1 - 7 2025.3

SenStick-Eye: A Sensing Platform to Observe Behavioral Insights from Small Everyday Objects Reviewed International journal

Yugo Nakamura, Yuki Matsuda, Yutaka Arakawa

2025 IEEE International Conference on Consumer Electronics (ICCE) 1 - 2 2025.1

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

SenStick-Eye is a novel sensing platform that captures behavioral insights from small everyday objects, such as cutlery, toothbrushes, and pens, by integrating a G-sensor (accelerometer) and a monocular RGB camera (480 x 480 pixels). This compact system enables continuous monitoring of human-object interactions, facilitating object-centric behavioral analysis. By collecting both motion and visual data, SenStick-Eye reveals patterns and triggers in habitual behaviors that often go unnoticed. The platform is designed for applications in just-in-time interventions, habit formation, and behavior change technologies, offering new opportunities for AIoT-based systems to support healthier habits.

DOI： 10.1109/icce63647.2025.10930127

researchmap

非特定テレビ視聴履歴データを用いたテレビ視聴行動クラスタリング手法の構築と評価

真弓大輝, 松田裕貴, 松田裕貴, 横田哲弥, 榊原太一, 安本慶一

AIoT行動変容学会第8回研究会（BTI-8） 23 - 30 2024.12

Language：Japanese Publishing type：Research paper (conference, symposium, etc.) Publisher：AIoT行動変容学会

本研究では，テレビ視聴履歴データを用いた最初のデジタルツインの構築を目指す．近年，メディア環境の変化に伴い，視聴者の行動理解の重要性が増している．テレビの視聴行動に関するデジタルツインを構築することで，視聴データから得られるリアルタイムの情報をもとに視聴行動のシミュレーションが可能となり，視聴者の嗜好や行動パターンを仮想的に再現し，広告やコンテンツ制作，マーケティング戦略の最適化に利用することができる．本研究では，個人を特定しない形式で大規模に収集された非特定テレビ視聴履歴データから，ユーザの視聴行動分類手法を確立し，視聴傾向に基づいた視聴行動シミュレータを構築する．本稿では視聴履歴データを詳細に分析し，テレビ視聴に特化した独自の特徴量を生成することで，視聴傾向を分類するモデルを作成し，モデルの妥当性を評価した．その結果，視聴傾向分類では各クラスで生活様式やユーザ層が説明可能となり，さらに平日と休日の視聴傾向分類モデルは，ともにF値0.95程度を記録しており，高精度に予測可能であることが示された．この新しいアプローチは，テレビ視聴のデジタルツイン構築に向けた新たな知見を提供し，データ駆動型のメディア戦略における新たなアプローチへの道を開くものである．

researchmap

Exploring the Impact of Non-Verbal Virtual Agent Behavior on User Engagement in Argumentative Dialogues Reviewed International coauthorship International journal

Annalena Aicher, Yuki Matsuda, Keiichi Yasumoto, Wolfgang Minker, Elisabeth André, Stefan Ultes

The 12th International Conference on Human-Agent Interaction (HAI '24) 224 - 232 2024.11

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

Engaging in discussions that involve diverse perspectives and exchanging arguments on a controversial issue is a natural way for humans to form opinions. In this process, the way arguments are presented plays a crucial role in determining how engaged users are, whether the interaction takes place solely among humans or within human-agent teams. This is of great importance as user engagement plays a crucial role in determining the success or failure of cooperative argumentative discussions. One main goal is to maintain the user's motivation to participate in a reflective opinion-building process, even when addressing contradicting viewpoints. This work investigates how non-verbal agent behavior, specifically co-speech gestures, influences the user's engagement and interest during an ongoing argumentative interaction. The results of a laboratory study conducted with 56 participants demonstrate that the agent's co-speech gestures have a substantial impact on user engagement and interest and the overall perception of the system. Therefore, this research offers valuable insights for the design of future cooperative argumentative virtual agents.

DOI： 10.1145/3687272.3688315

researchmap

ARCADE: An Augmented Reality Display Environment for Multimodal Interaction with Conversational Agents Reviewed International coauthorship International journal

Carolin Schindler, Daiki Mayumi, Yuki Matsuda, Niklas Rach, Keiichi Yasumoto, Wolfgang Minker

The 26th ACM International Conference on Multimodal Interaction (ICMI '24) 2024.11

マルチモーダルセンサとLLMを用いた個人の体感推定手法の検討

松田裕貴, 立花巧樹, 呉健朗, 諏訪博彦

コラボレーションとネットワークサービスワークショップ2024 (CN Workshop '24) 85 - 86 2024.11

Authorship：Lead author Language：Japanese Publishing type：Research paper (conference, symposium, etc.) Publisher：情報処理学会

都市規模のデジタルツインの実現に向けては，物理的に計測可能な客観的なデータだけでなく，人々が「どのように感じるか」という主観的な情報も重要となると考えられる．しかしながら，環境や個人による差異が大きいことから，主観的な情報の推定は用意ではない．そこで本稿では，マルチモーダルなセンサデータとLLMを活用し，環境や個人差を吸収した個人の体感推定手法について検討する．

researchmap

ゲーミフィケーションを活用した外出交流促進システムの開発 Reviewed

土橋有理, 秦恭史, 松田裕貴, 諏訪博彦, 安本慶一

第32回マルチメディア通信と分散処理ワークショップ (DPSWS '24) 168 - 171 2024.10

Language：Japanese Publishing type：Research paper (conference, symposium, etc.) Publisher：情報処理学会

少子高齢化とともに，家族構成の変化や新型コロナウイルスの影響により，高齢者の外出頻度が減少し，社会的な孤立やフレイルの信号が深刻な問題となっている．本研究では，高齢者の外出と社会的交流を促進するために，Bluetooth Low Energy (BLE)信号を活用した行動変容システムを開発した．システムは，周辺施設からのBLE信号を記録するタグと，情報を視覚的に掲示するデジタルサイネージを組み合わせており，これにより高齢者の外出活動を可視化・共有することを目指している．本デモセッションではシステムの設計および実装の概要を紹介し，実際にタグを用いて収集した外出情報を可視化する．

researchmap

EyeWise: A Nudge Theory-Based Approach to Enhancing Blink Behavior in Computer Users Reviewed

Muhammad Furqan Rasyid, Tomokazu Matsui, Yuki Matsuda, Hirohiko Suwa, Keiichi Yasumoto

第32回マルチメディア通信と分散処理ワークショップ (DPSWS '24) 221 - 223 2024.10

Language：English Publishing type：Research paper (conference, symposium, etc.) Publisher：情報処理学会

In the digital age, prolonged computer use often leads to digital eye strain, negatively impacting productivityand Quality of Life (QoL). This paper introduces EyeWise, a system that leverages nudge theory to encourageregular blinking. Unlike previous solutions, EyeWise provides customizable reminder intervals and employs subtleprompts to guide user behavior. Preliminary testing demonstrated high usability (SUS score: 78.86) and positive userengagement. However, no statistically significant difference in blink rates was found compared to the baseline systemwithout nudges (p > 0.05). While EyeWise may influence blinking patterns in some users, it did not consistentlyimprove blink rates for all participants.

researchmap

　 PREV - NEXT 　

< Matsuda Yuki >

Papers - Matsuda Yuki