Faculty Profiles - Matsuda Yuki

Papers - Matsuda Yuki

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スマートウォッチを用いたポイ捨てごみの種別・位置認識システムの提案

立花巧樹, 中村優吾, 松田裕貴, 諏訪博彦, 安本慶一

2020年度情報処理学会関西支部支部大会 1 - 5 2020.9

スマート棒を用いた棒体操支援システムの検討

大井一輝, 中村優吾, 松田裕貴, 藤本まなと, 安本慶一

2020年度情報処理学会関西支部支部大会 1 - 5 2020.9

メッシュごとのPOI別人数データを用いた人流予測の提案

山田理, 松田裕貴, 諏訪博彦, 安本慶一

2020年度情報処理学会関西支部支部大会 1 - 4 2020.9

交通機関利用における接触を回避するための経路推薦手法の検討

田谷瑛悟, 松田裕貴, 諏訪博彦, 安本慶一

2020年度情報処理学会関西支部支部大会 1 - 4 2020.9

非構造材の点検を目的として撮影された写真の差分分析による損傷検知に関する基礎的研究

幸田雄太, 川口健一, 水本旭洋, 松田裕貴

2020年度日本建築学会大会学術講演会（シェル・空間構造部門） 2020.9

Analysis of Tourists' Nationality Effects on Behavior-based Emotion and Satisfaction Estimation Reviewed

Yuki Matsuda, Dmitrii Fedotov, Yutaka Arakawa, Hirohiko Suwa, Wolfgang Minker, Keiichi Yasumoto

4th International Conference on Imaging, Vision & Pattern Recognition (IVPR '20) 1 - 7 2020.8

Gamified Participatory Sensing in Tourism: An Experimental Study of the Effects on Tourist Behavior and Satisfaction Reviewed

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

Smart Cities 3 ( 3 ) 736 - 757 2020.7

Language：English Publishing type：Research paper (scientific journal) Publisher：MDPI AG

In the tourism sector, user-generated information and communication among tourists are perceived to be more effective and reliable contents. In addition, the collection of dynamic tourism information with high spatio-temporal resolution is required to provide comfortable tourism in response to the changing tourism style with the advancement of information technology. Participatory sensing, which can collect various types of information is a useful method by which to collect these contents. However, continuous participation of users is essential in participatory sensing, and it is one of the most important points to stimulate participation motivation. In the tourism situation, we also need to pay attention to the total tourist satisfaction of participants. In this paper, we adopt gamification, i.e., the implementation of game design elements in real-world contexts for non-gaming purposes, for participatory sensing as an incentive mechanism to motivate participants with active participation and collect the necessary information efficiently. Within the framework, where points are given when completing the requested sensing task (=mission), two sensing missions with different burdens; Area Mission and Check-in Mission, and three different types of rewarding mechanisms; Fixed, Variable and Dynamic Variable, are designed as a gamification mechanism. We implemented these elements in the proposed participatory sensing platform application and conducted an experimental case study with 33 participants at an actual tourist spot: Kyoto, Japan. Then, we investigate the effects on tourist behavior and satisfaction by analyzing collected sensor data, mission logs, and post-survey answers. As a result, we can conclude the following: (1) the tourist behavior is changed due to the proposed gamification design and the necessary information was collected efficiently; (2) the participants tend to prioritize Check-in Mission over the sightseeing, which can induce a behavior change but might impact sightseeing enjoyment.

DOI： 10.3390/smartcities3030037

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Evaluation of Argument Search Approaches in the Context of Argumentative Dialogue Systems Reviewed

Niklas Rach, Yuki Matsuda, Johannes Daxenberger, Stefan Ultes, Keiichi Yasumoto, Wolfgang Minker

The 12th International Conference on Language Resources and Evaluation (LREC '20) 513 - 522 2020.5

Embedding Additional Behaviors Into Users' Daily Routines for Improving Users' Awareness of Self-Health Condition Reviewed International journal

Zhihua Zhang, Yuki Matsuda, Manato Fujimoto, Yutaka Arakawa, Keiichi Yasumoto

15th International Conference on Persuasive Technology (PT '20, BCSS) 2662 1 - 6 2020.4

On-site Trip Planning Support System Based on Dynamic Information on Tourism Spots Reviewed

Masato Hidaka, Yuki Kanaya, Shogo Kawanaka, Yuki Matsuda, Yugo Nakamura, Hirohiko Suwa, Manato Fujimoto, Yutaka Arakawa, Keiichi Yasumoto

Smart Cities 3 ( 2 ) 212 - 231 2020.4

Publishing type：Research paper (scientific journal) Publisher：MDPI AG

Recently, due to the drastic increase in foreign tourists coming to Japan, there has been a demand to provide smart tourism services that enable inbound tourists to comfortably enjoy sightseeing. To provide satisfactory experiences for tourists, it is desirable to provide tourist information in a timely manner by considering dynamic information, which is information that changes over time, such as current congestion information in destination spots and travel route information, in addition to static information, such as the preferences and profiles of tourists. However, in many existing systems, serious problems occur, such as (1) a lack of support for on-site use, (2) a lack of consideration of dynamic information, and (3) heavy burden on tourists. In this paper, we propose a novel system that can provide tourism plans for tourism spots in a timely manner. The proposed system consists of the following two key mechanisms: (A) A mechanism for acquiring preference information from tourists (including preference on dynamic information); (B) a curation mechanism for realizing on-site tourism. To demonstrate the effectiveness of the proposed system, we carried out evaluation experiments utilizing real tourism spots and simulations. As a result, we obtained the following primary findings: (1) On-site tourism spot recommendation is effective for tourists who do not make detailed tourism plans before sightseeing; (2) preference information for participants can be reflected in the tourism spot recommendation while massively reducing the burden on participants; (3) it is possible to obtain a higher satisfaction level than is achieved with model courses, which are often used for sightseeing.

DOI： 10.3390/smartcities3020013

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WorkerSense: Mobile Sensing Platform for Collecting Physiological, Mental, and Environmental State of Office Workers Reviewed

Yuri Tani, Shuichi Fukuda, Yuki Matsuda, Sozo Inoue, Yutaka Arakawa

2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) 2020.3

Predicting Depression and Anxiety Mood by Wrist-Worn Sleep Sensor Reviewed International journal

Shuichi Fukuda, Yuki Matsuda, Yuri Tani, Yutaka Arakawa, Keiichi Yasumoto

2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) 1 - 6 2020.3

グループミーティング動画からの発話量抽出手法の検討

徳原耕亮, ビリードートン, 石田繁巳, 荒川豊, 曽根田悠介, 松田裕貴

第82回全国大会講演論文集 2020 ( 1 ) 311 - 312 2020.2

Multimodal recording system for collecting facial and postural data in a group meeting Reviewed

Yusuke Soneda, Yuki Matsuda, Yutaka Arakawa, Keiichi Yasumoto

ICCE 2019 - 27th International Conference on Computers in Education, Proceedings 1 466 - 471 2019.11

ドライブレコーダ動画を用いた路上駐停車の判定

松田明大, 松田裕貴, 諏訪博彦, 安本慶一

2019年度情報処理学会関西支部支部大会 2019.9

被災者の特徴を考慮した避難所決定手法

田中智基, 松田裕貴, 藤本まなと, 諏訪博彦, 安本慶一

2019年度情報処理学会関西支部支部大会 2019.9

Considerations on affectors of reliability for answer to online questionnaires : From point of style of questionnaire and context of smart phone manipulation

5p 2019.9

観光地コンテキストの変化を考慮した理由付き訪問スポット推薦

磯田祥吾, 日高真人, 松田裕貴, 諏訪博彦, 安本慶一

2019年度情報処理学会関西支部支部大会 2019.9

M3B Corpus: Multi-modal meeting behavior corpus for group meeting assessment Reviewed

Yusuke Soneda, Yuki Matsuda, Yutaka Arakawa, Keiichi Yasumoto

UbiComp/ISWC 2019- - Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers 825 - 834 2019.9

観光中の仕草に基づく感情・満足度の推定における観光客属性の影響分析

松田裕貴, Dmitrii Fedotov, 荒川豊, Wolfgang Minker, 安本慶一

マルチメディア, 分散, 協調とモバイル（DICOMO 2019）シンポジウム 2019.7

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