研究者詳細 - 大越　匡

論文 - 大越　匡

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大越匡, 西山勇毅, 佐々木航, 栄元優作, 中澤仁

情報処理学会研究報告(Web) 2019 （ UBI-64 ） 1 2019年

共著, 査読有り

WellComp 2019: second international workshop on computing for well-being.

Tadashi Okoshi, Jin Nakazawa, JeongGil Ko, Fahim Kawsar, Susanna Pirttikangas

Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers - UbiComp/ISWC '19 （ACM Press） 1146 - 1149 2019年

研究論文（国際会議プロシーディングス）, 共著, 査読有り

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UbiTtention 2019: 4th international workshop on smart & ambient notification and attention management.

Anja Exler, Alexandra Voit, Dominik Weber, Martin Pielot, Nitesh Goyal, Sven Gehring, Tadashi Okoshi, Veljko Pejovic

研究論文（国際会議プロシーディングス）, 共著, 査読有り

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SleepThermo: the affect of in-cloth monitored body temperature change during sleep on human well-being.

Kento Katsumata, Yuka Noda, Naohiro Isokawa, Shin Katayama, Tadashi Okoshi, Jin Nakazawa

研究論文（国際会議プロシーディングス）, 共著, 査読有り

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Situation-Aware Emotion Regulation of Conversational Agents with Kinetic Earables.

Shin Katayama, Akhil Mathur, Marc Van den Broeck, Tadashi Okoshi, Jin Nakazawa, Fahim Kawsar

2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII) 725 - 731 2019年

研究論文（国際会議プロシーディングス）, 共著, 査読有り

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Situation-Aware Conversational Agent with Kinetic Earables.

Shin Katayama, Akhil Mathur, Tadashi Okoshi, Jin Nakazawa, Fahim Kawsar

Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services - MobiSys '19 （ACM Press） 657 - 658 2019年

研究論文（国際会議プロシーディングス）, 共著, 査読有り

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Real-World Product Deployment of Adaptive Push Notification Scheduling on Smartphones.

Tadashi Okoshi, Kota Tsubouchi, Hideyuki Tokuda

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining - KDD '19 （ACM Press） 2792 - 2800 2019年

研究論文（国際会議プロシーディングス）, 共著, 査読有り

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Ortho-detector:オルソ画像を用いた海岸ゴミ検出手法の提案と検出タスクの分析

海法修平, 谷村朋樹, CHEN Yin, 大越匡, 中澤仁, 鈴木もとこ, 山田曉

情報処理学会研究報告(Web) 2019 （ UBI-64 ） 1 2019年

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Motivating Long-term Dietary Habit Modification through Mobile MR Gamification.

Kento Katsumata, Yusaku Eigen, Yuka Noda, Masayoshi Tsuruoka, Satsuki Hashiba, Shotaro Numoto, Shin Katayama, Tadashi Okoshi, Jin Nakazawa

Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services - MobiSys '19 （ACM Press） 671 - 672 2019年

研究論文（国際会議プロシーディングス）, 共著, 査読有り

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WellComP 2018: First international workshop on computing for well-being

Okoshi T., Ko J., Pirttikangas S., Nakazawa J., Kawsar F.

UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers （UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers） 684 - 687 2018年10月

共著, 査読有り, ISSN 9781450359665

© Copyright held by the owner/author(s). With the advancements in ubiquitous computing, ubicomp technology has deeply spread into our daily lives, including office work, home and house-keeping, health management, transportation, or even urban living environments. Furthermore, beyond the initial metric of computing, such as “efficiency” and “productivity”, the benefits that people (users) benefit on a well-being perspective based on such ubiquitous technology has been greatly paid attention in the recent years. In our first “WellComp” (Computing for Well-being) workshop, we intensively discuss about the contribution of ubiquitous computing towards users' well-being that covers both physical, mental, and social wellness (and their combinations), from the viewpoints of various different layers of computing. Having strong international organization members in various ubicomp research domains, WellComp 2018 will bring together researchers and practitioners from the academia and industry to explore versatile topics related to wellbeing and ubiquitous computing.

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Ubittention 2018: 3rd international workshop on smart & ambient notification and attention management

Weber D., Exler A., Voit A., Pejovic V., Henze N., Gehring S., Okoshi T.

共著, 査読有り, ISSN 9781450359665

© 2018 Copyright held by the owner/author(s). Publication rights licensed to ACM. In the advancing ubiquitous computing, users are increasingly confronted with a tremendous amount of information proactively provided via notifications from versatile applications and services, through multiple devices and screens in their environment. The human's attention is becoming a new significant bottleneck. Further, the latest computing trends with emerging new devices including versatile IoT devices, and contexts, such as smart cities and vehicles, are even accelerating this situation. In such situations, “attention management”, including attention representation, sensing, prediction, analysis, and adaptive behavior in the computer systems, are needed in our computing system. Following last years' successful UbiTtention 2016 and UbiTtention 2017 workshops with up to 50 participants, the UbiTtention 2018 workshop brings together researchers and practitioners from academy and industry to explore the management of human attention and notifications with versatile devices and smart situations to overcome information overload and overchoice.

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Improved smartphone driving mode system design with differentiated notifications

Park H., Okoshi T., Katayama S., Ko J.

共著, 査読有り, ISSN 9781450359665

© Copyright held by the owner/author(s). By enabling driver mode on a smartphone, the smartphone can autonomously detect driving activities and suppress any incoming notifications so that drivers can focus on their attention on driving activities. However, the current driving mode implementations are limited in the fact that they frequently misjudge driving activities and also only have the option of nullifying all incoming notifications. In this work we present an improvement to this design and propose two major improvements to the current driving mode implementations: the first to improve driving activity detection and the second to diversify the notification mechanisms when the user is detected to be driving. While the work is still at its preliminary stages, we foresee this work as a meaningful effort to initiate the design of smartphone notification systems more tailored to the users' needs.

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Demo: Providing information of hidden spot for tourists to increase tourism satisfaction

Katayama S., Obuchi M., Okoshi T., Nakazawa J.

共著, 査読有り, ISSN 9781450359665

© Copyright is held by the owner/author(s). In this research, we propose a system that allows one to find a hidden spot that is scenic, yet unpopulated, with the intention of improving the satisfaction of one's trip. These hidden spots are not yet noted in the existing tourism services, however can provide a new place for the tourists to discover. We developed an application as a prototype to analyze and pinpoint hidden spots by using venue data from Foursquare [1]. We acquired 19,705 data around Tokyo and calculated the relative hiding spot degree. Thus, we made it possible to provide users with hidden spot information from smartphone application.

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Demo: Meal photo SNS with mutual healthiness evaluation for improving users' eating habits

Eigen Y., Nishiyama Y., Okoshi T., Nakazawa J., Yonezawa T.

共著, 査読有り, ISSN 9781450359665

© Copyright held by the owner/author(s). We propose a Meal Photo SNS (called HealthyStadium) for improving users' eating habits by mutually assessing each others' health. This application's method is to evaluates pictures of meals leads to the realization of sustainable journaling. In addition, we implement competitive awareness that motivates the users to improve their eating habits by allowing users to share their healthiness ranking amongst the users. Through our study, we confirmed that our system enables users to motivate for improving eating habits. Also we found the number of records is increased by our system.

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Comparing ESM timings for emotional estimation model with fine temporal granularity

Sasaki W., Nakazawa J., Okoshi T.

共著, 査読有り, ISSN 9781450359665

© 2018 Association for Computing Machinery. Towards wellbeing-awareness in computing, researches for estimating users' emotions using smartphone sensor data have been actively conducted as smartphones are getting more and more ubiquitous. Most studies have constructed emotion estimation models based on machine learning with contextual data from the smartphones and user's self-reporting ground truth label often collected via Experience Sampling Method (ESM). However, snice our emotion changes frequently in our daily lives, trying to collect the ground truth of such volatile emotions leads a storm of ESMs which could be burden to the users. In order to find better ESM methods, we propose and compare 3 ESMs, namely Randomized ESM that executes in randomly timings, Trigger ESM that executes when the user's behavior changes, and Unlocking ESM that sets up ESM on the unlocking screen. We constructed various emotional estimation models with four types of time granularity (1 day, 1/3 day, 3 hours, 1 hour) in four weeks experience with eight persons. As for the response rate, Unlocking ESM was the highest. In addition, it was clear that Unlocking ESM had the highest estimation accuracy in most cases.

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Real-world large-scale study on adaptive notification scheduling on smartphones

Okoshi T., Tsubouchi K., Tokuda H.

Pervasive and Mobile Computing （Pervasive and Mobile Computing） 50 1 - 24 2018年10月

共著, 査読有り, ISSN 15741192

© 2018 Elsevier B.V. Human attention has bottlenecked today's ubiquitous computing environment where users are consuming increasing amounts of information from numerous applications and services. Since the system-to-user provision of information is becoming more proactive, mainly via push notifications that often cause interruption at the users’ side, attention management is becoming very important. Despite the many existing studies concerned with detecting opportune moments to present such push information to the users (in a way that preserves the user's attention and lowers their cognitive load and frustration), there is little evaluation of such systems in the real-world production environments. Overlooked areas of study also include the examination of real users and notification contents. In this paper, we present various results from the first extensive evaluation on user's interruptibility and engagement in the real-world environment with a market-leading smartphone application that boasts a large number of users, including real notification content on the application. Following our previous mobile-sensing and machine learning-based interruptibility estimation approach, which was an effective study in its own right (Okoshi et al., 2015 [18,19]), we embedded a logic with the same approach in the “Yahoo! JAPAN” Android app (one of the most popular applications on the national market). The results from our large-scale in-the-wild user study (that included more than 680,000 users and spanned three weeks) indicate that, in most cases, delaying the notification delivery until an interruptible moment is detected is beneficial to users. The practice results in significant reduction of user response time (49.7%) when compared to delivering the notifications immediately. We observed a higher number of notifications opened in our system and constant improvement in user engagement levels throughout the entire study period. We also observed differences in click rates among different days and time among users with different attributes (e.g., age, gender, and occupation). Additional evaluation of our revised system, which can train and distribute different models for weekdays and weekends, improved the click rates during weekends. This negated the performance degradation previously observed during weekends.

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Twitter における虚偽情報拡散抑制に向けた情報拡散コミュニティ可視化手法の検討

日下部眞太郎，米澤拓郎，大越匡，鈴木もとこ，山田曉，中澤仁

研究報告ヒューマンコンピュータインタラクション (HCI) 2018 (21), 1-8 2018年

他ユーザの記録表示を通じた学習の動機づけ向上

羽柴彩月，佐々木航，大越匡，中澤仁

研究報告高齢社会デザイン (ASD) 2018 (5), 1-7 （情報処理学会） 2018-UBI-59 （ 5 ） 1 2018年

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パーソナルエリアネットワークとゲーミフィケーションを用いた高齢者の相互見守りプラットホーム

中澤仁，佐々木航，小渕幹夫，江頭和輝，西山勇毅，大越匡，米澤拓郎， ...

電子情報通信学会論文誌 D 101 (2), 306-319 J101–D （ 2 ） 306 2018年

共著, 査読有り

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UbiTtention 2017:2nd international workshop on smart & ambient notification and attention management

Okoshi T., Exler A., Voit A., Weber D., Pielot M., Poppinga B., Henze N., Gehring S., Böhmer M., Kim S., Pejovic V.

UbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers （UbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers） 893 - 897 2017年09月

ISSN 9781450351904

© 2017 Association for Computing Machinery. In a world moving towards ubiquitous computing, users are increasingly confronted with a tremendous amount of information proactively provided via notifications. Today, notifications are generated by a large number of applications and services, through multiple devices and screens in the users' environment. Thus, human's attention became a significant bottleneck. Further, the latest computing trends with emerging new devices including versatile IoT devices, and contexts, such as smart cities and vehicles, further amplify the challenges. For future computing systems, "attention management", including attention representation, sensing, prediction, analysis and adaptive behavior becomes crucial. Following last year's successful UbiTtention'16 workshop with more than 40 participants, the UbiTtention 2017 workshop brings together researchers and practitioners from academy and industry to explore the managements of human attention and notifications. The workshop considers versatile devices and smart situations to overcome information overload and overchoice.

Access to Document (DOI)

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