2021
書籍・チャプター
2.
安本慶一, 荒川豊, 松田裕貴
IoTの本 Book
2021, ISBN: 4485600467.
@book{iot-book-2021,
title = {IoTの本},
author = {安本慶一, 荒川豊, 松田裕貴},
editor = {電気書院},
url = {https://www.amazon.co.jp/gp/product/4485600467/ref=as_li_tl?ie=UTF8&camp=247&creative=1211&creativeASIN=4485600467&linkCode=as2&tag=myblog05-22&linkId=19e1b715f2169bdc74a2d738ef9804e3},
isbn = {4485600467},
year = {2021},
date = {2021-10-08},
urldate = {2021-10-08},
keywords = {},
pubstate = {published},
tppubtype = {book}
}
1.
荒川豊
情報技術で3密回避を支援～時差通勤・通学を促すためのバス停混雑度情報可視化システムの開発～ Book Chapter
In: 大学時報, (Ed.): vol. 69, no. 397, pp. 86-91, 日本私立大学連盟, 2021, ISSN: 0288-1748.
@inbook{dagaku-jihou,
title = {情報技術で3密回避を支援～時差通勤・通学を促すためのバス停混雑度情報可視化システムの開発～},
author = {荒川豊},
editor = {大学時報},
issn = {0288-1748},
year = {2021},
date = {2021-03-20},
volume = {69},
number = {397},
pages = {86-91},
publisher = {日本私立大学連盟},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
論文誌
7.
Billy Dawton, Shigemi Ishida, Yutaka Arakawa
C-AVDI: Compressive Measurement-Based Acoustic Vehicle Detection and Identification Journal Article
In: IEEE Access, vol. 9, pp. 159457-159474, 2021, ISSN: 2169-3536.
@article{9632588,
title = {C-AVDI: Compressive Measurement-Based Acoustic Vehicle Detection and Identification},
author = {Billy Dawton and Shigemi Ishida and Yutaka Arakawa},
doi = {10.1109/ACCESS.2021.3132061},
issn = {2169-3536},
year = {2021},
date = {2021-12-01},
urldate = {2021-01-01},
journal = {IEEE Access},
volume = {9},
pages = {159457-159474},
abstract = {As society grows ever more interconnected, the need for sophisticated signal processing and data analysis techniques becomes increasingly apparent. This is particularly true in the field of intelligent transportation systems (ITSs), where various sensing applications generate data at an exponential rate. In this paper, we present C-AVDI, a compressive measurement-based acoustic vehicle detection and identification architecture capable of extracting information from vehicle audio signals while sampling at sub-Nyquist rates. In addition, we further reduce the overall complexity by performing any necessary signal filtering during the acquisition process, removing the need for a separate filtering stage in the system’s front-end. Our results obtained from data collected under a range of weather conditions present an accuracy of 80% with a back-end analog-to-digital converter (ADC) sample rate of 3kHz, with initial results from a microcontroller (MCU) implementation of our proposed system presenting an accuracy of 72%.},
keywords = {},
pubstate = {published},
tppubtype = {article}
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As society grows ever more interconnected, the need for sophisticated signal processing and data analysis techniques becomes increasingly apparent. This is particularly true in the field of intelligent transportation systems (ITSs), where various sensing applications generate data at an exponential rate. In this paper, we present C-AVDI, a compressive measurement-based acoustic vehicle detection and identification architecture capable of extracting information from vehicle audio signals while sampling at sub-Nyquist rates. In addition, we further reduce the overall complexity by performing any necessary signal filtering during the acquisition process, removing the need for a separate filtering stage in the system’s front-end. Our results obtained from data collected under a range of weather conditions present an accuracy of 80% with a back-end analog-to-digital converter (ADC) sample rate of 3kHz, with initial results from a microcontroller (MCU) implementation of our proposed system presenting an accuracy of 72%.
6.
Tomohide Yoshie, Yuki Matsuda, Yutaka Arakawa, Haruki Otsubo, Takashi Araga, Kentaro Tatsuno, Satoshi Takaishi, Noriko Usuki, Toshihiro Ueda
The Influence of Experience on Gazing Patterns during Endovascular Treatment: Eye-Tracking Study Journal Article
In: Journal of Neuroendovascular Therapy, vol. advpub, 2021.
@article{TomohideYoshie2021oa.2021-0053,
title = {The Influence of Experience on Gazing Patterns during Endovascular Treatment: Eye-Tracking Study},
author = {Tomohide Yoshie and Yuki Matsuda and Yutaka Arakawa and Haruki Otsubo and Takashi Araga and Kentaro Tatsuno and Satoshi Takaishi and Noriko Usuki and Toshihiro Ueda},
doi = {10.5797/jnet.oa.2021-0053},
year = {2021},
date = {2021-10-08},
urldate = {2021-01-01},
journal = {Journal of Neuroendovascular Therapy},
volume = {advpub},
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pubstate = {published},
tppubtype = {article}
}
5.
Ko Watanabe, Yusuke Soneda, Yuki Matsuda, Yugo Nakamura, Yutaka Arakawa, Andreas Dengel, Shoya Ishimaru
DisCaaS: Micro Behavior Analysis on Discussion by Camera as a Sensor Journal Article
In: Sensors, vol. 21, no. 17, 2021, ISSN: 1424-8220.
@article{s21175719,
title = {DisCaaS: Micro Behavior Analysis on Discussion by Camera as a Sensor},
author = {Ko Watanabe and Yusuke Soneda and Yuki Matsuda and Yugo Nakamura and Yutaka Arakawa and Andreas Dengel and Shoya Ishimaru},
editor = {MDPI},
url = {https://www.mdpi.com/1424-8220/21/17/5719},
doi = {10.3390/s21175719},
issn = {1424-8220},
year = {2021},
date = {2021-08-25},
journal = {Sensors},
volume = {21},
number = {17},
abstract = {The emergence of various types of commercial cameras (compact, high resolution, high angle of view, high speed, and high dynamic range, etc.) has contributed significantly to the understanding of human activities. By taking advantage of the characteristic of a high angle of view, this paper demonstrates a system that recognizes micro-behaviors and a small group discussion with a single 360 degree camera towards quantified meeting analysis. We propose a method that recognizes speaking and nodding, which have often been overlooked in existing research, from a video stream of face images and a random forest classifier. The proposed approach was evaluated on our three datasets. In order to create the first and the second datasets, we asked participants to meet physically: 16 sets of five minutes data from 21 unique participants and seven sets of 10 min meeting data from 12 unique participants. The experimental results showed that our approach could detect speaking and nodding with a macro average f1-score of 67.9% in a 10-fold random split cross-validation and a macro average f1-score of 62.5% in a leave-one-participant-out cross-validation. By considering the increased demand for an online meeting due to the COVID-19 pandemic, we also record faces on a screen that are captured by web cameras as the third dataset and discussed the potential and challenges of applying our ideas to virtual video conferences.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The emergence of various types of commercial cameras (compact, high resolution, high angle of view, high speed, and high dynamic range, etc.) has contributed significantly to the understanding of human activities. By taking advantage of the characteristic of a high angle of view, this paper demonstrates a system that recognizes micro-behaviors and a small group discussion with a single 360 degree camera towards quantified meeting analysis. We propose a method that recognizes speaking and nodding, which have often been overlooked in existing research, from a video stream of face images and a random forest classifier. The proposed approach was evaluated on our three datasets. In order to create the first and the second datasets, we asked participants to meet physically: 16 sets of five minutes data from 21 unique participants and seven sets of 10 min meeting data from 12 unique participants. The experimental results showed that our approach could detect speaking and nodding with a macro average f1-score of 67.9% in a 10-fold random split cross-validation and a macro average f1-score of 62.5% in a leave-one-participant-out cross-validation. By considering the increased demand for an online meeting due to the COVID-19 pandemic, we also record faces on a screen that are captured by web cameras as the third dataset and discussed the potential and challenges of applying our ideas to virtual video conferences.
4.
荒川 豊, 石田 繁巳, 酒井 幸輝, 谷津 ゆい子
人の動きを捉え社会を動かす人口流動統計：7．大規模位置情報データ連携がもたらす合理的根拠に基づく観光政策立案評価の実現 Journal Article
In: 情報処理, vol. 62, no. 9, pp. e36–e41, 2021.
@article{weko_212309_1,
title = {人の動きを捉え社会を動かす人口流動統計：7．大規模位置情報データ連携がもたらす合理的根拠に基づく観光政策立案評価の実現},
author = {荒川 豊 and 石田 繁巳 and 酒井 幸輝 and 谷津 ゆい子},
year = {2021},
date = {2021-08-15},
journal = {情報処理},
volume = {62},
number = {9},
pages = {e36--e41},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
3.
Zhihua Zhang, Juliana Miehle, Yuki Matsuda, Manato Fujimoto, Yutaka Arakawa, Keiichi Yasumoto, Wolfgang Minker
Exploring the Impacts of Elaborateness and Indirectness in a Behavior Change Support System Journal Article
In: IEEE Access, vol. 9, pp. 74778-74788, 2021, ISSN: 2169-3536.
@article{9429258,
title = {Exploring the Impacts of Elaborateness and Indirectness in a Behavior Change Support System},
author = {Zhihua Zhang and Juliana Miehle and Yuki Matsuda and Manato Fujimoto and Yutaka Arakawa and Keiichi Yasumoto and Wolfgang Minker},
doi = {10.1109/ACCESS.2021.3079473},
issn = {2169-3536},
year = {2021},
date = {2021-05-12},
journal = {IEEE Access},
volume = {9},
pages = {74778-74788},
abstract = {Numerous technologies exist for promoting a healthier lifestyle. These technologies collectively referred to as “Behavior Change Support Systems”. However, the majority of existing apps use quantitative data representation. Since it is difficult to understand the meaning behind quantitative data, this approach has been suggested to lower users’ motivation and fail to promote behavior change. Therefore, an interpretation of quantitative data needs to be provided as a supplement. However, different descriptions of the same data may lead to different outcomes. In this paper, we explore the impact of different communication styles for interpretations of quantitative data on behavior change by developing and evaluating Walkeeper – a web-based app that provides interpretations of the users’ daily step counts using different levels of elaborateness and indirectness with the aim of promoting walking. Through the quantitative analysis and results of a user study, we contribute new knowledge on designing such interpretations for quantitative data.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Numerous technologies exist for promoting a healthier lifestyle. These technologies collectively referred to as “Behavior Change Support Systems”. However, the majority of existing apps use quantitative data representation. Since it is difficult to understand the meaning behind quantitative data, this approach has been suggested to lower users’ motivation and fail to promote behavior change. Therefore, an interpretation of quantitative data needs to be provided as a supplement. However, different descriptions of the same data may lead to different outcomes. In this paper, we explore the impact of different communication styles for interpretations of quantitative data on behavior change by developing and evaluating Walkeeper – a web-based app that provides interpretations of the users’ daily step counts using different levels of elaborateness and indirectness with the aim of promoting walking. Through the quantitative analysis and results of a user study, we contribute new knowledge on designing such interpretations for quantitative data.
2.
Masaki Gogami, Yuki Matsuda, Yutaka Arakawa, Keiichi Yasumoto
Detection of Careless Responses in Online Surveys Using Answering Behavior on Smartphone Journal Article
In: IEEE Access, vol. 9, pp. 53205 - 53218, 2021, ISSN: 2169-3536.
@article{9387296,
title = {Detection of Careless Responses in Online Surveys Using Answering Behavior on Smartphone},
author = {Masaki Gogami and Yuki Matsuda and Yutaka Arakawa and Keiichi Yasumoto},
doi = {10.1109/ACCESS.2021.3069049},
issn = {2169-3536},
year = {2021},
date = {2021-03-26},
journal = {IEEE Access},
volume = {9},
pages = {53205 - 53218},
abstract = {Some respondents make careless responses due to the “satisficing,” which is an attempt to complete a questionnaire as quickly and easily as possible. To obtain results that reflect a fact, detecting satisficing and excluding the responses with satisficing from the analysis targets are required. One of the devised methods detects satisficing by adding questions that check violations of instructions and inconsistencies. However, this approach may cause respondents to lose their motivation and prompt them to satisficing. Additionally, a deep learning model that automatically answers these questions was reported. This threatens the reliability of the conventional method. To detect careless responses without inserting such screening questions, machine learning (ML) detection using data obtained from answer results was attempted in a previous study, with a detection rate of 55.6%, which is not sufficient from the viewpoint of practicality. Therefore, we hypothesized that a supervised ML model with a higher detection rate could be constructed by using on-screen answering behavior as features. However, (1) no existing questionnaire system can record on-screen answering behavior and (2) even if the answering behavior can be recorded, it is unclear which answering behavior features are associated with satisficing. We developed an answering behavior recording plug-in for LimeSurvey, an online questionnaire system used all over the world, and collected a large amount of data (from 5,692 people) in Japan. Then, a variety of features were examined and generated from answering behavior, and we constructed ML models to detect careless responses.We call this detection method the ML-ABS (ML-based answering behavior scale). Evaluation by cross-validation demonstrated that the detection rate for careless responses was 85.9%, which is much higher than the previous ML method. Among the various features we proposed, we found that reselecting the Likert scale and scrolling particularly contributed to the detection of careless responses.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Some respondents make careless responses due to the “satisficing,” which is an attempt to complete a questionnaire as quickly and easily as possible. To obtain results that reflect a fact, detecting satisficing and excluding the responses with satisficing from the analysis targets are required. One of the devised methods detects satisficing by adding questions that check violations of instructions and inconsistencies. However, this approach may cause respondents to lose their motivation and prompt them to satisficing. Additionally, a deep learning model that automatically answers these questions was reported. This threatens the reliability of the conventional method. To detect careless responses without inserting such screening questions, machine learning (ML) detection using data obtained from answer results was attempted in a previous study, with a detection rate of 55.6%, which is not sufficient from the viewpoint of practicality. Therefore, we hypothesized that a supervised ML model with a higher detection rate could be constructed by using on-screen answering behavior as features. However, (1) no existing questionnaire system can record on-screen answering behavior and (2) even if the answering behavior can be recorded, it is unclear which answering behavior features are associated with satisficing. We developed an answering behavior recording plug-in for LimeSurvey, an online questionnaire system used all over the world, and collected a large amount of data (from 5,692 people) in Japan. Then, a variety of features were examined and generated from answering behavior, and we constructed ML models to detect careless responses.We call this detection method the ML-ABS (ML-based answering behavior scale). Evaluation by cross-validation demonstrated that the detection rate for careless responses was 85.9%, which is much higher than the previous ML method. Among the various features we proposed, we found that reselecting the Likert scale and scrolling particularly contributed to the detection of careless responses.
1.
Mohamed A. Abdelwahab, Shizuo Kaji, Maiya Hori, Shigeru Takano, Yutaka Arakawa, Rin-ichiro Taniguchi
Measuring “Nigiwai” from Pedestrian Movement Journal Article
In: IEEE Access, vol. 9, pp. 24859 - 24871, 2021, ISSN: 2169-3536.
@article{9345686,
title = {Measuring “Nigiwai” from Pedestrian Movement},
author = {Mohamed A. Abdelwahab, Shizuo Kaji, Maiya Hori, Shigeru Takano, Yutaka Arakawa, Rin-ichiro Taniguchi},
url = {https://youtu.be/Jd_vKuU4HXI},
doi = {10.1109/ACCESS.2021.3056698},
issn = {2169-3536},
year = {2021},
date = {2021-02-05},
urldate = {2021-02-05},
journal = {IEEE Access},
volume = {9},
pages = {24859 - 24871},
abstract = {The analysis of the movement of people in a shopping area with the aim of improving marketing is an important research topic. Many conventional methods are dependent on the density of people in the area, which is easily estimated by counting the people entering or exiting the area. However, a high density does not always mean an increase in activity, as certain people are simply passing the area at a given time. The primary goal of this study was to introduce a set of indicators for measuring the bustle of the area, which we call “Nigiwai,” from pedestrian movement by using an analogy from classical kinematics. Such indicators can be used to measure the impact of promotional events and to optimize the design of the area. Our novel indicators were evaluated with simulated pedestrian scenarios and were demonstrated to distinguish shopping scenarios from those in which people move around without shopping successfully, even when the latter scenarios had much higher densities. The indicators were computed solely from the pedestrian trajectory, which can easily be obtained from ordinary sensors using deep learning-based techniques. As a demonstration with real data, we applied our method to a video of a street and provided a visualization of the indicators.},
keywords = {},
pubstate = {published},
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The analysis of the movement of people in a shopping area with the aim of improving marketing is an important research topic. Many conventional methods are dependent on the density of people in the area, which is easily estimated by counting the people entering or exiting the area. However, a high density does not always mean an increase in activity, as certain people are simply passing the area at a given time. The primary goal of this study was to introduce a set of indicators for measuring the bustle of the area, which we call “Nigiwai,” from pedestrian movement by using an analogy from classical kinematics. Such indicators can be used to measure the impact of promotional events and to optimize the design of the area. Our novel indicators were evaluated with simulated pedestrian scenarios and were demonstrated to distinguish shopping scenarios from those in which people move around without shopping successfully, even when the latter scenarios had much higher densities. The indicators were computed solely from the pedestrian trajectory, which can easily be obtained from ordinary sensors using deep learning-based techniques. As a demonstration with real data, we applied our method to a video of a street and provided a visualization of the indicators.
国際会議
13.
Landy Rajaonarivo, Tsunenori Mine, Yutaka Arakawa
Automatic Generation of Event Ontology from Social Network and Mobile Positioning Data Proceedings Article
In: The 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2021.
@inproceedings{landy2021,
title = {Automatic Generation of Event Ontology from Social Network and Mobile Positioning Data},
author = {Landy Rajaonarivo, Tsunenori Mine, Yutaka Arakawa},
url = {https://camps.aptaracorp.com/ACM_PMS/PMS/ACM/WIIAT21/20/aacf69d3-4a02-11ec-b613-166a08e17233/OUT/wiiat21-20.html},
doi = {10.1145/3486622.3493933},
year = {2021},
date = {2021-12-14},
urldate = {2021-12-14},
booktitle = {The 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
12.
Akira Tokuda, Yutaka Arakawa, Shigeru Takano, Shigemi Ishida
Automatic Parameter Adjustment for Hybrid WiFi and BLE-Based Congestion Measurement Proceedings Article
In: The 13th International Conference on Mobile Computing and Ubiquitous Networking (ICMU2021), 2021.
@inproceedings{icmu2021-tokuda,
title = {Automatic Parameter Adjustment for Hybrid WiFi and BLE-Based Congestion Measurement},
author = {Akira Tokuda, Yutaka Arakawa, Shigeru Takano, Shigemi Ishida},
url = {https://arakawa-lab.com/wp-content/uploads/2022/01/a35-tokuda-stamped-e.pdf},
year = {2021},
date = {2021-11-19},
urldate = {2021-11-19},
booktitle = {The 13th International Conference on Mobile Computing and Ubiquitous Networking (ICMU2021)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
11.
Haruki Harashima, Yutaka Arakawa, Shigemi Ishida, Yugo Nakamura
Estimating Work Engagement with Wrist-Worn Heart Rate Sensors Proceedings Article
In: The 13th International Conference on Mobile Computing and Ubiquitous Networking (ICMU2021), 2021.
@inproceedings{icmu2021-harashima,
title = {Estimating Work Engagement with Wrist-Worn Heart Rate Sensors},
author = {Haruki Harashima, Yutaka Arakawa, Shigemi Ishida, Yugo Nakamura},
url = {https://arakawa-lab.com/wp-content/uploads/2022/01/a9-harashima-stamped-e.pdf},
year = {2021},
date = {2021-11-17},
urldate = {2021-11-17},
booktitle = {The 13th International Conference on Mobile Computing and Ubiquitous Networking (ICMU2021)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
10.
Shuichi Fukuda, Yuki Matsuda, Yutaka Arakawa, Keiichi Yasumoto
Statistical Analysis Between Sleep Status and Occupational Health Indicators for Detecting Depression Signs in Healthy Workers Proceedings Article
In: The 13th International Conference on Mobile Computing and Ubiquitous Networking (ICMU2021), 2021.
@inproceedings{icmu2021-fukuda,
title = {Statistical Analysis Between Sleep Status and Occupational Health Indicators for Detecting Depression Signs in Healthy Workers},
author = {Shuichi Fukuda, Yuki Matsuda, Yutaka Arakawa, Keiichi Yasumoto},
url = {https://arakawa-lab.com/wp-content/uploads/2022/01/a11-fukuda-stamped-e.pdf},
year = {2021},
date = {2021-11-17},
urldate = {2021-11-17},
booktitle = {The 13th International Conference on Mobile Computing and Ubiquitous Networking (ICMU2021)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
9.
Tomoki Joya, Shigemi Ishida, Yudai Mitsukude, Yutaka Arakawa
Design of Room-Layout Estimator Using Smart Speaker Proceedings Article
In: 18th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous 2021), 2021.
@inproceedings{mobiquitous2021-joya,
title = {Design of Room-Layout Estimator Using Smart Speaker},
author = {Tomoki Joya, Shigemi Ishida, Yudai Mitsukude, Yutaka Arakawa},
url = {https://arakawa-lab.com/wp-content/uploads/2022/01/202111_EAI_Mobiquitous_joya.pdf},
year = {2021},
date = {2021-11-09},
urldate = {2021-11-09},
booktitle = {18th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous 2021)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
8.
Jihed Makhlouf, Yutaka Arakawa, Ko Watanabe
A Privacy-aware Browser Extension to Track User Search Behavior for Programming Course Supplement Proceedings Article
In: The Fourth International Workshop on Mobile Ubiquitous Systems, Infrastructures, Communications and AppLications (MUSICAL) In conjunction with Mobiquitous 2021, 2021.
@inproceedings{musical2021-jihed,
title = {A Privacy-aware Browser Extension to Track User Search Behavior for Programming Course Supplement},
author = {Jihed Makhlouf, Yutaka Arakawa, Ko Watanabe},
url = {https://arakawa-lab.com/wp-content/uploads/2022/01/mobiquitous-jihed-2021.pdf},
year = {2021},
date = {2021-11-08},
urldate = {2021-11-08},
booktitle = {The Fourth International Workshop on Mobile Ubiquitous Systems, Infrastructures, Communications and AppLications (MUSICAL) In conjunction with Mobiquitous 2021},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
7.
Yusuke Nishimura, Tahera Hossain, Akane Sano, Shota Isomura, Yutaka Arakawa, Sozo Inoue
Toward the Analysis of Office Worker’s Mental Indicators Based on Activity Data Proceedings Article
In: The 3rd International Conference on Activity and Behavior Computing (ABC2021), 2021.
@inproceedings{abc2021-sozo,
title = {Toward the Analysis of Office Worker’s Mental Indicators Based on Activity Data},
author = {Yusuke Nishimura, Tahera Hossain, Akane Sano, Shota Isomura, Yutaka Arakawa, Sozo Inoue},
url = {https://abc-research.github.io/
https://arakawa-lab.com/wp-content/uploads/2022/01/Nishimura_abc_2021.pdf},
year = {2021},
date = {2021-09-22},
urldate = {2021-09-22},
booktitle = {The 3rd International Conference on Activity and Behavior Computing (ABC2021)},
abstract = {Best Paper Award},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Best Paper Award
6.
Yugo Nakamura, Yuki Matsuda
IoT Nudge: IoT data-driven Nudging for Health Behavior Change Proceedings Article
In: Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2021 Adjunct, Poster), Association for Computing Machinery, 2021.
@inproceedings{nakamura-2021-ubicomp,
title = {IoT Nudge: IoT data-driven Nudging for Health Behavior Change},
author = {Yugo Nakamura, Yuki Matsuda},
year = {2021},
date = {2021-09-21},
urldate = {2021-09-21},
booktitle = {Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2021 Adjunct, Poster)},
publisher = {Association for Computing Machinery},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
5.
Sopicha Stirapongsasuti, Kundjanasith Thonglek, Shinya Misaki, Yugo Nakamura, Keiichi Yasumoto
INSHA: Intelligent Nudging System for Hand Hygiene Awareness Proceedings Article
In: The 21th ACM International Conference on Intelligent Virtual Agents (IVA '21), pp. 8, 2021, ISBN: 9781450386197.
@inproceedings{sophicha-2021-iva,
title = {INSHA: Intelligent Nudging System for Hand Hygiene Awareness},
author = {Sopicha Stirapongsasuti, Kundjanasith Thonglek, Shinya Misaki, Yugo Nakamura, Keiichi Yasumoto},
url = {https://dl.acm.org/doi/abs/10.1145/3472306.3478355?sid=SCITRUS},
doi = {10.1145/3472306.3478355},
isbn = {9781450386197},
year = {2021},
date = {2021-09-14},
urldate = {2021-09-14},
booktitle = {The 21th ACM International Conference on Intelligent Virtual Agents (IVA '21)},
pages = {8},
abstract = {Maintaining hand hygiene is the one of the most effective way to prevent the spread of germs during a pandemic. This paper focuses on encouraging people to use a hand sanitizer more frequently by applying the nudge theory to improve hand hygiene behavior in private organizations. We propose a system that recognizes hand hygiene behavior using face recognition and detects hand sanitizer use. The system responds to the user's personal hand hygiene behavior with animation of a virtual bonsai as an interactive agent. To preserve user privacy, we implemented the system on an edge device and conducted experiments for 4 case studies in 2 real-world organizations. The results showed that the system improved the hand hygiene behavior of people in a private organization.},
keywords = {},
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tppubtype = {inproceedings}
}
Maintaining hand hygiene is the one of the most effective way to prevent the spread of germs during a pandemic. This paper focuses on encouraging people to use a hand sanitizer more frequently by applying the nudge theory to improve hand hygiene behavior in private organizations. We propose a system that recognizes hand hygiene behavior using face recognition and detects hand sanitizer use. The system responds to the user's personal hand hygiene behavior with animation of a virtual bonsai as an interactive agent. To preserve user privacy, we implemented the system on an edge device and conducted experiments for 4 case studies in 2 real-world organizations. The results showed that the system improved the hand hygiene behavior of people in a private organization.
4.
Yuji Kanamitsu, koki tachibana, Yugo Nakamura, Yuki Matsuda, Hirohiko Suwa, Keiichi Yasumoto
Using Interaction as Nudge to Increase Installation Rate of COVID-19 Contact-Confirming Application Proceedings Article
In: Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2021 Adjunct, Poster), Association for Computing Machinery, 2021.
@inproceedings{kanamitsu-2021-ubicomp,
title = {Using Interaction as Nudge to Increase Installation Rate of COVID-19 Contact-Confirming Application},
author = {Yuji Kanamitsu, koki tachibana, Yugo Nakamura, Yuki Matsuda, Hirohiko Suwa, Keiichi Yasumoto},
year = {2021},
date = {2021-09-14},
urldate = {2021-09-14},
booktitle = {Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2021 Adjunct, Poster)},
publisher = {Association for Computing Machinery},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
3.
Daichi Koike, Shigemi Ishida, Yutaka Arakawa
Called Function Identification of IoT Devices by Network Traffic Analysis Proceedings Article
In: The 36th ACM/SIGAPP Symposium On Applied Computing (SAC2021), pp. 737-743, 2021.
@inproceedings{sac2021-koike,
title = {Called Function Identification of IoT Devices by Network Traffic Analysis},
author = {Daichi Koike, Shigemi Ishida, Yutaka Arakawa},
url = {https://arakawa-lab.com/wp-content/uploads/2022/01/202103_ACM-SAC_koike_proceedings.pdf},
year = {2021},
date = {2021-03-22},
urldate = {2021-03-22},
booktitle = {The 36th ACM/SIGAPP Symposium On Applied Computing (SAC2021)},
pages = {737-743},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
2.
Kenta Hayashi, Shingo Kumazoe, Shigemi Ishida, Yutaka Arakawa
Distinguishing Working State by Palm Orientation Proceedings Article
In: 2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech 2021), 2021.
@inproceedings{Hayashi2021,
title = {Distinguishing Working State by Palm Orientation},
author = {Kenta Hayashi, Shingo Kumazoe, Shigemi Ishida, Yutaka Arakawa},
url = {https://ieeexplore.ieee.org/document/9391950},
doi = {10.1109/LifeTech52111.2021.9391950},
year = {2021},
date = {2021-03-10},
urldate = {2021-03-10},
booktitle = {2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech 2021)},
abstract = {When working from home, self-management becomes of paramount importance due to the absence of a boss or colleagues. As a result, individuals tend to waste time surfing the internet and playing with our smartphones. We propose a wrist-worn sensor-based system that identifies whether a desk worker is working or not for self-management and productivity. Our main hypothesis is that the identification of the various tasks that occur during desk work, such as using computers, reading books, manipulating a smartphone, and writing, can be simply distinguished by the direction of the palm. In this paper, to verify our hypothesis, we measure various tasks with the wrist-worn sensor attached to clarify the relationship between hand orientation and each task. At the same time, we develop a machine learning-based classifier to distinguish between the states of `working' and `not-working' using the obtained hand orientation data. We performed 10-fold cross-validation and Leave-One-Person-Out validation and we found that it was possible to distinguish whether a desk worker is working or not with an F1-value of 0.8 or higher.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
When working from home, self-management becomes of paramount importance due to the absence of a boss or colleagues. As a result, individuals tend to waste time surfing the internet and playing with our smartphones. We propose a wrist-worn sensor-based system that identifies whether a desk worker is working or not for self-management and productivity. Our main hypothesis is that the identification of the various tasks that occur during desk work, such as using computers, reading books, manipulating a smartphone, and writing, can be simply distinguished by the direction of the palm. In this paper, to verify our hypothesis, we measure various tasks with the wrist-worn sensor attached to clarify the relationship between hand orientation and each task. At the same time, we develop a machine learning-based classifier to distinguish between the states of `working' and `not-working' using the obtained hand orientation data. We performed 10-fold cross-validation and Leave-One-Person-Out validation and we found that it was possible to distinguish whether a desk worker is working or not with an F1-value of 0.8 or higher.
1.
Sirui Jian, Shigemi Ishida, Yutaka Arakawa
Initial Attempt on Wi-Fi CSI Based Vibration Sensing for Factory Equipment Fault Detection Proceedings Article
In: International Workshop on Maintenance-Free Context Sensing (MFSens), in conjunction with International Conference on Distributed Computing and Networking (ICDCN), pp. 163-168, 2021.
@inproceedings{jian21:icdcn_mfsensb2,
title = {Initial Attempt on Wi-Fi CSI Based Vibration Sensing for Factory Equipment Fault Detection},
author = {Sirui Jian, Shigemi Ishida, Yutaka Arakawa},
url = {https://arakawa-lab.com/wp-content/uploads/2022/01/jian_wifi.pdf},
doi = {10.1145/3427477.3429462},
year = {2021},
date = {2021-01-08},
urldate = {2021-01-08},
booktitle = {International Workshop on Maintenance-Free Context Sensing (MFSens), in conjunction with International Conference on Distributed Computing and Networking (ICDCN)},
pages = {163-168},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
研究会・シンポジウム
35.
本松大夢, 中村優吾, 荒川豊
Slackにおける能動型質問ボットの効果検証 Conference
情報処理学会モバイルコンピューティングと新社会システム（MBL）研究会, vol. 2021-MBL-101, no. 2, 2021.
@conference{weko_214225_1,
title = {Slackにおける能動型質問ボットの効果検証},
author = {本松大夢 and 中村優吾 and 荒川豊},
url = {https://arakawa-lab.com/wp-content/uploads/2021/12/IPSJ-MBL21101002.pdf
http://id.nii.ac.jp/1001/00214117/},
year = {2021},
date = {2021-12-07},
urldate = {2021-12-07},
booktitle = {情報処理学会モバイルコンピューティングと新社会システム（MBL）研究会},
volume = {2021-MBL-101},
number = {2},
pages = {1-8},
institution = {九州大学, 九州大学, 九州大学},
abstract = {新型コロナウイルスの流行に伴い，企業や学校等でオンラインコミュニケーションツールへの移行が進んでいる．しかしながら，対面での接触機会の減少が，組織全体でのコミュニケーションの減少やワーク・エンゲイジメントの低下を引き起こしている．そこで，我々は能動的にランダムなユーザへの質問を行うボットの導入による，コミュニケーション活性化やワーク・エンゲイジメント向上に関する研究を行なった．具体的には，主要なオンラインコミュニケーションツールである，Slack におけるボットがもたらす，能動的な質問，回答の共有が，組織全体のコミュニケーションやワーク・エンゲイジメントに与える影響について調査を行なった．本発表では，研究室の Slack に導入した能動型質問ボットが与える影響について，Slack でのユーザごとのメッセージ送信数や，リアクション数等による定量的評価とユーザへのアンケートによる定性的評価から報告を行う．また，本研究で明らかとなった結果から，ユーザからの回答を引き出す質問ボット開発への新たな知見についても報告を行う．},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
新型コロナウイルスの流行に伴い，企業や学校等でオンラインコミュニケーションツールへの移行が進んでいる．しかしながら，対面での接触機会の減少が，組織全体でのコミュニケーションの減少やワーク・エンゲイジメントの低下を引き起こしている．そこで，我々は能動的にランダムなユーザへの質問を行うボットの導入による，コミュニケーション活性化やワーク・エンゲイジメント向上に関する研究を行なった．具体的には，主要なオンラインコミュニケーションツールである，Slack におけるボットがもたらす，能動的な質問，回答の共有が，組織全体のコミュニケーションやワーク・エンゲイジメントに与える影響について調査を行なった．本発表では，研究室の Slack に導入した能動型質問ボットが与える影響について，Slack でのユーザごとのメッセージ送信数や，リアクション数等による定量的評価とユーザへのアンケートによる定性的評価から報告を行う．また，本研究で明らかとなった結果から，ユーザからの回答を引き出す質問ボット開発への新たな知見についても報告を行う．
34.
古川芽依, 中村優吾, 荒川豊
スマートフォンを用いた右左折時のウインカー操作パターン計測システム Conference
情報処理学会高度交通システムとスマートコミュニティ（ITS）研究会, vol. 2021-ITS-87, no. 8, 2021.
@conference{weko_214268_1,
title = {スマートフォンを用いた右左折時のウインカー操作パターン計測システム},
author = {古川芽依 and 中村優吾 and 荒川豊},
url = {https://arakawa-lab.com/wp-content/uploads/2021/12/IPSJ-ITS21087008.pdf
http://id.nii.ac.jp/1001/00214160/},
year = {2021},
date = {2021-12-07},
urldate = {2021-12-07},
booktitle = {情報処理学会高度交通システムとスマートコミュニティ（ITS）研究会},
volume = {2021-ITS-87},
number = {8},
pages = {1-6},
institution = {九州大学, 九州大学, 九州大学},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
33.
吉江智秀, 柴田大作, 荒牧英治, 若宮翔子, 荒川豊, 植田敏浩, 尾原信行, 坂井信幸
AIを用いて診療記録から臨床研究用データベースを自動で作成する自然言語処理解析装置の開発 Conference
第37回NPO法人日本脳神経血管内治療学会学術集会（JSNET2021）, vol. S15-5, 2021.
@conference{yoshie-jsnet-2021,
title = {AIを用いて診療記録から臨床研究用データベースを自動で作成する自然言語処理解析装置の開発},
author = {吉江智秀, 柴田大作, 荒牧英治, 若宮翔子, 荒川豊, 植田敏浩, 尾原信行, 坂井信幸},
year = {2021},
date = {2021-11-26},
urldate = {2021-11-26},
booktitle = {第37回NPO法人日本脳神経血管内治療学会学術集会（JSNET2021）},
volume = {S15-5},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
32.
田中宏和, 本松大夢, 中村優吾, 荒川豊
連れ立ち行動促進システムの提案 Conference
第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021), 2021.
@conference{tanaka-2021-dpsws,
title = {連れ立ち行動促進システムの提案},
author = {田中宏和, 本松大夢, 中村優吾, 荒川豊},
url = {https://arakawa-lab.com/wp-content/uploads/2022/01/IPSJ-DPSWS2021003.pdf},
year = {2021},
date = {2021-10-25},
urldate = {2021-10-25},
booktitle = {第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021)},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
31.
川谷卓哉, 荒川豊, 峯恒憲
路線バスと他の交通機関との相互乗り換えを保証するための遅延状況調査および運行ダイヤ改善指標の検討 Conference
第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021), 2021.
@conference{kawatani-2021-dpsws,
title = {路線バスと他の交通機関との相互乗り換えを保証するための遅延状況調査および運行ダイヤ改善指標の検討},
author = {川谷卓哉, 荒川豊, 峯恒憲},
url = {https://arakawa-lab.com/wp-content/uploads/2022/01/IPSJ-DPSWS2021004.pdf},
year = {2021},
date = {2021-10-25},
urldate = {2021-10-25},
booktitle = {第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021)},
journal = {第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021)},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
30.
有田充, 中村優吾, 石田繁巳, 荒川豊
充電不要なライフログ記録システムの提案と実用環境での性能検証 Conference
第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021), 2021.
@conference{arita-2021-dpsws,
title = {充電不要なライフログ記録システムの提案と実用環境での性能検証},
author = {有田充, 中村優吾, 石田繁巳, 荒川豊},
url = {https://arakawa-lab.com/wp-content/uploads/2022/01/IPSJ-DPSWS2021015.pdf},
year = {2021},
date = {2021-10-25},
urldate = {2021-10-25},
booktitle = {第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021)},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
29.
原嶋春輝, 荒川豊, 石田繁巳, 中村優吾
ウェアラブル心拍センサによるワーク・エンゲイジメントの推定 Conference
第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021), 2021.
@conference{harashima-2021-dpsws,
title = {ウェアラブル心拍センサによるワーク・エンゲイジメントの推定},
author = {原嶋春輝, 荒川豊, 石田繁巳, 中村優吾},
url = {https://arakawa-lab.com/wp-content/uploads/2022/01/IPSJ-DPSWS2021016.pdf},
year = {2021},
date = {2021-10-25},
urldate = {2021-10-25},
booktitle = {第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021)},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
28.
天野辰哉, 水本旭洋, 山口弘純, 松田裕貴, 藤本まなと, 諏訪博彦, 安本慶一 , 中村優吾, 田上敦士
新生活様式におけるコミュニティ形成のためのサイバーフィジカル空間共有基盤の設計開発 Conference
第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021), 2021.
@conference{amano-2021-dpsws,
title = {新生活様式におけるコミュニティ形成のためのサイバーフィジカル空間共有基盤の設計開発},
author = {天野辰哉, 水本旭洋, 山口弘純, 松田裕貴, 藤本まなと, 諏訪博彦, 安本慶一 , 中村優吾, 田上敦士},
url = {https://arakawa-lab.com/wp-content/uploads/2022/01/IPSJ-DPSWS2021018.pdf},
year = {2021},
date = {2021-10-25},
urldate = {2021-10-25},
booktitle = {第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021)},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
27.
冨田周作, 中村優吾, 諏訪博彦, 安本慶一
端末間の近距離通信を使ったFederated Learningによる観光オブジェクト認識モデルの参加型学習法とその評価 Conference
第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021), 2021.
@conference{tomita-2021-dpsws,
title = {端末間の近距離通信を使ったFederated Learningによる観光オブジェクト認識モデルの参加型学習法とその評価},
author = {冨田周作, 中村優吾, 諏訪博彦, 安本慶一},
url = {https://arakawa-lab.com/wp-content/uploads/2022/01/IPSJ-DPSWS2021024.pdf},
year = {2021},
date = {2021-10-25},
urldate = {2021-10-25},
booktitle = {第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021)},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
26.
張志華, 松井智一, 上田浩行, 高野誠也, 藤本大介, 林優一, 安本慶一, 荒川豊
電磁・通信・家電情報に基づくIoT活動量計の検討 Conference
第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021), 2021.
@conference{cho-2021-dpsws,
title = {電磁・通信・家電情報に基づくIoT活動量計の検討},
author = {張志華, 松井智一, 上田浩行, 高野誠也, 藤本大介, 林優一, 安本慶一, 荒川豊},
url = {https://arakawa-lab.com/wp-content/uploads/2022/01/IPSJ-DPSWS2021038.pdf},
year = {2021},
date = {2021-10-25},
urldate = {2021-10-25},
booktitle = {第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021)},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
25.
中岡黎, 中村優吾, 松田裕貴, 三崎慎也, 安本慶一
メシクエ:ご飯を食べて敵を倒す食育ゲームの提案 Conference
第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021), 2021.
@conference{nakaoka-2021-dpsws,
title = {メシクエ:ご飯を食べて敵を倒す食育ゲームの提案},
author = {中岡黎, 中村優吾, 松田裕貴, 三崎慎也, 安本慶一},
url = {https://arakawa-lab.com/wp-content/uploads/2022/01/IPSJ-DPSWS2021027.pdf},
year = {2021},
date = {2021-10-25},
urldate = {2021-10-25},
booktitle = {第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021)},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
24.
難波洸也, 中村優吾, 荒川豊
懸垂マシンを用いた筋トレにおけるデバイスフリー種目推定 Conference
第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021), 2021.
@conference{namba-2021-dpsws,
title = {懸垂マシンを用いた筋トレにおけるデバイスフリー種目推定},
author = {難波洸也, 中村優吾, 荒川豊},
url = {https://arakawa-lab.com/wp-content/uploads/2022/01/IPSJ-DPSWS2021040.pdf},
year = {2021},
date = {2021-10-25},
urldate = {2021-10-25},
booktitle = {第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021)},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
23.
大平祐大, 荒川豊, 中村優吾
エレベータ利用に関する意思決定を支援する状況センシングシステムの設計と開発 Conference
第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021), 2021.
@conference{ohira-2021-dpsws,
title = {エレベータ利用に関する意思決定を支援する状況センシングシステムの設計と開発},
author = {大平祐大, 荒川豊, 中村優吾},
url = {https://arakawa-lab.com/wp-content/uploads/2022/01/IPSJ-DPSWS2021041.pdf},
year = {2021},
date = {2021-10-25},
urldate = {2021-10-25},
booktitle = {第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021)},
journal = {第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021)},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
22.
中川嵩章, 荒川豊, 中村優吾
Webアンケート回答時のタッチ操作に基づく深層心理推定に向けた回答UIの提案 Conference
第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021), 2021.
@conference{nakagawa-2021-dpsws,
title = {Webアンケート回答時のタッチ操作に基づく深層心理推定に向けた回答UIの提案},
author = {中川嵩章, 荒川豊, 中村優吾},
url = {https://arakawa-lab.com/wp-content/uploads/2022/01/IPSJ-DPSWS2021042.pdf},
year = {2021},
date = {2021-10-25},
urldate = {2021-10-25},
booktitle = {第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021)},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
21.
立花巧樹, 中岡黎, 宮地篤士, 冨田周作, 松田裕貴, 中村優吾, 諏訪 博彦
センサ装着型トングを用いたポイ捨てごみの種別・位置情報収集システムの提案 Conference
第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021), 2021.
@conference{dpsws2021-tachibana,
title = {センサ装着型トングを用いたポイ捨てごみの種別・位置情報収集システムの提案},
author = {立花巧樹, 中岡黎, 宮地篤士, 冨田周作, 松田裕貴, 中村優吾, 諏訪 博彦},
url = {https://arakawa-lab.com/wp-content/uploads/2022/01/IPSJ-DPSWS2021028.pdf},
year = {2021},
date = {2021-10-15},
urldate = {2021-10-15},
booktitle = {第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021)},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
20.
松尾周汰, 原嶋春輝, 荒川豊
室内照明が与える睡眠状態やメンタルヘルスへの影響 Conference
情報処理学会第188回マルチメディア通信と分散処理研究会(DPS), 2021.
@conference{lavigo-dps,
title = {室内照明が与える睡眠状態やメンタルヘルスへの影響},
author = {松尾周汰, 原嶋春輝, 荒川豊},
url = {https://arakawa-lab.com/wp-content/uploads/2022/01/harashima-lavigo-dps.pdf
https://arakawa-lab.com/wp-content/uploads/2022/01/Lavigo_DPS_Translate_print.pdf},
year = {2021},
date = {2021-09-02},
urldate = {2021-09-02},
booktitle = {情報処理学会第188回マルチメディア通信と分散処理研究会(DPS)},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
19.
佐藤 佑磨, 松井 智一, 中村 優吾, 諏訪 博彦, 安本 慶一
宅内行動認識モデル最適化のためのナッジを用いたアノテーション行動誘導方法の検討 Conference
情報処理学会DICOMOシンポジウム, 2021.
@conference{sato-2021-dicomo,
title = {宅内行動認識モデル最適化のためのナッジを用いたアノテーション行動誘導方法の検討},
author = {佐藤 佑磨, 松井 智一, 中村 優吾, 諏訪 博彦, 安本 慶一},
url = {https://arakawa-lab.com/wp-content/uploads/2022/01/p11_1A-3.pdf},
year = {2021},
date = {2021-06-30},
urldate = {2021-06-30},
booktitle = {情報処理学会DICOMOシンポジウム},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
18.
金光 勇慈, 田谷 瑛悟, 立花 巧樹, 中村 優吾, 松田 裕貴, 諏訪 博彦, 安本 慶一
BLEを用いた路線バスの混雑度推定 Conference
情報処理学会DICOMOシンポジウム, 2021.
@conference{kanamitu-2021-dicomo,
title = {BLEを用いた路線バスの混雑度推定},
author = {金光 勇慈, 田谷 瑛悟, 立花 巧樹, 中村 優吾, 松田 裕貴, 諏訪 博彦, 安本 慶一},
url = {https://arakawa-lab.com/wp-content/uploads/2022/01/p62_1D-2.pdf},
year = {2021},
date = {2021-06-30},
urldate = {2021-06-30},
booktitle = {情報処理学会DICOMOシンポジウム},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
17.
冨田 周作, 中村 優吾, 諏訪 博彦, 安本 慶一
観光オブジェクト認識モデルのユーザ参加型構築手法の提案 Conference
情報処理学会DICOMOシンポジウム, 2021.
@conference{tomita-2021-dicomo,
title = {観光オブジェクト認識モデルのユーザ参加型構築手法の提案},
author = {冨田 周作, 中村 優吾, 諏訪 博彦, 安本 慶一},
url = {https://arakawa-lab.com/wp-content/uploads/2022/01/p221_2A-2.pdf},
year = {2021},
date = {2021-06-30},
urldate = {2021-06-30},
booktitle = {情報処理学会DICOMOシンポジウム},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
16.
立花 巧樹, 中村 優吾, 松田 裕貴, 諏訪 博彦, 安本 慶一
スマートウォッチの音響センサを用いたポイ捨てごみの種別認識手法の提案と評価 Conference
情報処理学会DICOMOシンポジウム, 2021.
@conference{tachibana-2021-dicomo,
title = {スマートウォッチの音響センサを用いたポイ捨てごみの種別認識手法の提案と評価},
author = {立花 巧樹, 中村 優吾, 松田 裕貴, 諏訪 博彦, 安本 慶一},
url = {https://arakawa-lab.com/wp-content/uploads/2022/01/p325_2C-5.pdf},
year = {2021},
date = {2021-06-30},
urldate = {2021-06-30},
booktitle = {情報処理学会DICOMOシンポジウム},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
15.
松田 裕貴, 中村 優吾, 諏訪 博彦, 安本 慶一
人の知覚の集合知による参加型IoTセンサ調整プラットフォームの設計 Conference
情報処理学会DICOMOシンポジウム, 2021.
@conference{matsuda-2021-dicomo,
title = {人の知覚の集合知による参加型IoTセンサ調整プラットフォームの設計},
author = {松田 裕貴, 中村 優吾, 諏訪 博彦, 安本 慶一},
url = {https://arakawa-lab.com/wp-content/uploads/2022/01/p591_3F-1.pdf},
year = {2021},
date = {2021-06-30},
urldate = {2021-06-30},
booktitle = {情報処理学会DICOMOシンポジウム},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
14.
大山 航平, 松田 裕貴, 中村 優吾, 諏訪 博彦, 安本 慶一
参加型センシングにおける不良回答を抑制する立場表明手法の提案と評価 Conference
情報処理学会DICOMOシンポジウム, 2021.
@conference{oyama-2021-dicomo,
title = {参加型センシングにおける不良回答を抑制する立場表明手法の提案と評価},
author = {大山 航平, 松田 裕貴, 中村 優吾, 諏訪 博彦, 安本 慶一},
url = {https://arakawa-lab.com/wp-content/uploads/2022/01/p1013_5E-3.pdf},
year = {2021},
date = {2021-06-30},
urldate = {2021-06-30},
booktitle = {情報処理学会DICOMOシンポジウム},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
13.
大井 一輝, 中村 優吾, 松田 裕貴, 藤本 まなと, 安本 慶一
IMUセンサを用いた棒体操トラッキングシステムの検討 Conference
情報処理学会DICOMOシンポジウム, 2021.
@conference{oi-2021-dicomo,
title = {IMUセンサを用いた棒体操トラッキングシステムの検討},
author = {大井 一輝, 中村 優吾, 松田 裕貴, 藤本 まなと, 安本 慶一},
url = {https://arakawa-lab.com/wp-content/uploads/2022/01/p1520_8B-2.pdf},
year = {2021},
date = {2021-06-30},
urldate = {2021-06-30},
booktitle = {情報処理学会DICOMOシンポジウム},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
12.
徳原 耕亮, 荒川 豊, 石田 繁巳
頷きのリアルタイムフィードバックによるビデオ会議支援手法の提案 Conference
情報処理学会DICOMOシンポジウム, 2021.
@conference{tokuhara-2021-dicomo,
title = {頷きのリアルタイムフィードバックによるビデオ会議支援手法の提案},
author = {徳原 耕亮, 荒川 豊, 石田 繁巳},
url = {https://arakawa-lab.com/wp-content/uploads/2022/01/p953_5C-5.pdf},
year = {2021},
date = {2021-06-30},
urldate = {2021-06-30},
booktitle = {情報処理学会DICOMOシンポジウム},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
11.
西村 勇亮, Tahera Hossain, 磯村 昇太, 荒川 豊, 井上 創造
行動データに基づいたオフィスワーカの心理的指標の分析に向けて Conference
情報処理学会DICOMOシンポジウム, 2021.
@conference{nishimura-2021-dicomo,
title = {行動データに基づいたオフィスワーカの心理的指標の分析に向けて},
author = {西村 勇亮, Tahera Hossain, 磯村 昇太, 荒川 豊, 井上 創造},
url = {https://arakawa-lab.com/wp-content/uploads/2022/01/p1141_6B-3.pdf},
year = {2021},
date = {2021-06-30},
urldate = {2021-06-30},
booktitle = {情報処理学会DICOMOシンポジウム},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
10.
石田 繁巳, 城谷 知葵, 光来出 優大, 荒川 豊
スマートスピーカを用いた間取り推定手法の初期的評価 Conference
情報処理学会DICOMOシンポジウム, 2021.
@conference{ishida-2021-dicomo,
title = {スマートスピーカを用いた間取り推定手法の初期的評価},
author = {石田 繁巳, 城谷 知葵, 光来出 優大, 荒川 豊},
url = {https://arakawa-lab.com/wp-content/uploads/2022/01/p1408_7E-3.pdf},
year = {2021},
date = {2021-06-30},
urldate = {2021-06-30},
booktitle = {情報処理学会DICOMOシンポジウム},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
9.
徳田 瑛，荒川 豊，高野 茂，石田 繁巳
WiFiとBLEによるハイブリッド混雑度計測における自動パラメータ調整の検討 Conference
情報処理学会MBL研究会, 2021.
@conference{tokuda-2021-mbl,
title = {WiFiとBLEによるハイブリッド混雑度計測における自動パラメータ調整の検討},
author = {徳田 瑛，荒川 豊，高野 茂，石田 繁巳},
year = {2021},
date = {2021-05-20},
booktitle = {情報処理学会MBL研究会},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
8.
荒川 豊，石田 繁巳，酒井 幸輝，峯 恒憲
大規模広告位置データによる観光施策立案評価システムの設計 Conference
情報処理学会MBL研究会, 2021.
@conference{arakawa-mbl-2021,
title = {大規模広告位置データによる観光施策立案評価システムの設計},
author = {荒川 豊，石田 繁巳，酒井 幸輝，峯 恒憲},
url = {https://arakawa-lab.com/wp-content/uploads/2023/01/202105_IPSJ_MBL_arakawa.pdf},
year = {2021},
date = {2021-05-20},
urldate = {2021-05-20},
booktitle = {情報処理学会MBL研究会},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
7.
林 健太, 熊副 慎吾, 石田 繁巳, 荒川 豊
就業中における作業・非作業状態の推定手法の提案 Conference
情報処理学会第83回全国大会, 2021.
@conference{kenta2021,
title = {就業中における作業・非作業状態の推定手法の提案},
author = {林 健太, 熊副 慎吾, 石田 繁巳, 荒川 豊},
url = {https://arakawa-lab.com/wp-content/uploads/2022/01/202103_IPSJ-taikai_hayashi.pdf},
year = {2021},
date = {2021-03-11},
urldate = {2021-03-11},
booktitle = {情報処理学会第83回全国大会},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
6.
光来出 優大, 城谷 知葵, 石田 繁巳, 荒川 豊
2つのマイクによる部屋レベル話者位置推定の検討 Conference
情報処理学会第83回全国大会, 2021.
@conference{yudai2021,
title = {2つのマイクによる部屋レベル話者位置推定の検討},
author = {光来出 優大, 城谷 知葵, 石田 繁巳, 荒川 豊},
url = {https://arakawa-lab.com/wp-content/uploads/2022/01/main.pdf},
year = {2021},
date = {2021-03-11},
urldate = {2021-03-11},
booktitle = {情報処理学会第83回全国大会},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
5.
城谷 知葵, 光来出 優大, 石田 繁巳, 荒川 豊
生活音からの部屋種別推定手法の検討 Conference
情報処理学会第83回全国大会, 2021.
@conference{joya2021,
title = {生活音からの部屋種別推定手法の検討},
author = {城谷 知葵, 光来出 優大, 石田 繁巳, 荒川 豊},
url = {https://arakawa-lab.com/wp-content/uploads/2022/01/202103_IPSJ-taikai_joya.pdf},
year = {2021},
date = {2021-03-11},
urldate = {2021-03-11},
booktitle = {情報処理学会第83回全国大会},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
4.
徳永 大空, 荒川 豊, 石田 繁巳, 島田 敬士, 峯 恒憲
プログラミング教育における 課題提出時刻に基づく自己調整学習の状況認識 Conference
情報処理学会第83回全国大会, 2021.
@conference{tokunaga2021,
title = {プログラミング教育における 課題提出時刻に基づく自己調整学習の状況認識},
author = {徳永 大空, 荒川 豊, 石田 繁巳, 島田 敬士, 峯 恒憲},
year = {2021},
date = {2021-03-11},
urldate = {2021-03-11},
booktitle = {情報処理学会第83回全国大会},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
3.
有田 充, 石田 繁巳, 荒川 豊
エナジーハーベストな名札による屋内場所推定システムの開発 Conference
情報処理学会第83回全国大会, 2021.
@conference{arita2021,
title = {エナジーハーベストな名札による屋内場所推定システムの開発},
author = {有田 充, 石田 繁巳, 荒川 豊},
url = {https://arakawa-lab.com/wp-content/uploads/2022/01/arita-main.pdf},
year = {2021},
date = {2021-03-11},
urldate = {2021-03-11},
booktitle = {情報処理学会第83回全国大会},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
2.
後上 正樹，松田 裕貴，荒川 豊，安本 慶一
オンラインアンケート回答時のスマートフォン画面操作状況に基づく不適切回答検出 Conference
第25回一般社団法人情報処理学会シンポジウム・インタラクション2021, 2021.
@conference{gogami-interaction2021,
title = {オンラインアンケート回答時のスマートフォン画面操作状況に基づく不適切回答検出},
author = {後上 正樹，松田 裕貴，荒川 豊，安本 慶一},
year = {2021},
date = {2021-03-10},
booktitle = {第25回一般社団法人情報処理学会シンポジウム・インタラクション2021},
abstract = {アンケートにおいて，なるべく楽に早くタスクを完了しようとする「Satisficing（努力の最小限化）」という態度により，結果の信頼性が低下する問題がある．より正確な結果を得るためには，Satisficingを検出して分析対象から除外するなどの前対処が必要となる．これまでに，回答時間に基づく検出手法や，指示違反や矛盾を問う質問群を追加する手法が考案されてきた．しかし，前者では回答時間を故意に水増しした回答を適切に除外することができない．また，後者は回答者を疑ってスクリーニングするようなものであり，回答者のモチベーションを損ねてSatisficingを助長してしまう原因となる．そこで我々は，回答時間だけでなく回答中の画面操作を利用することで，より高精度にSatisficingが検出可能になるのではないかという仮説を立てた．しかしながら，（1）画面操作が記録可能なアンケートシステムが存在しない，（2）記録できたとしてどのような特徴がSatisficingと関連しているのか不明であった．そこで，我々は世界中で利用されているLimeSurvey用の画面操作記録プラグインを開発し，多人数（5692人）の様々な画面操作ログを収集して，機械学習によるSatisficing検出を行なった．Leave One Out交差検証による評価の結果，検出率は85.9%を達成し，同様のタスクに取り組んだ先行研究の検出率55.6%を大幅に上回るものとなった．また，本稿で新たに提案した特徴量の中では，スクロールに関連する特徴の寄与率が高い一方で，テキストの削除に関する特徴の寄与率は低い結果となった．},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
アンケートにおいて，なるべく楽に早くタスクを完了しようとする「Satisficing（努力の最小限化）」という態度により，結果の信頼性が低下する問題がある．より正確な結果を得るためには，Satisficingを検出して分析対象から除外するなどの前対処が必要となる．これまでに，回答時間に基づく検出手法や，指示違反や矛盾を問う質問群を追加する手法が考案されてきた．しかし，前者では回答時間を故意に水増しした回答を適切に除外することができない．また，後者は回答者を疑ってスクリーニングするようなものであり，回答者のモチベーションを損ねてSatisficingを助長してしまう原因となる．そこで我々は，回答時間だけでなく回答中の画面操作を利用することで，より高精度にSatisficingが検出可能になるのではないかという仮説を立てた．しかしながら，（1）画面操作が記録可能なアンケートシステムが存在しない，（2）記録できたとしてどのような特徴がSatisficingと関連しているのか不明であった．そこで，我々は世界中で利用されているLimeSurvey用の画面操作記録プラグインを開発し，多人数（5692人）の様々な画面操作ログを収集して，機械学習によるSatisficing検出を行なった．Leave One Out交差検証による評価の結果，検出率は85.9%を達成し，同様のタスクに取り組んだ先行研究の検出率55.6%を大幅に上回るものとなった．また，本稿で新たに提案した特徴量の中では，スクロールに関連する特徴の寄与率が高い一方で，テキストの削除に関する特徴の寄与率は低い結果となった．
1.
後上 正樹，松田 裕貴，荒川 豊，安本 慶一
オンラインアンケートにおける不適切回答自動検出に向けた回答操作ログ分析 Conference
第13回データ工学と情報マネジメントに関するフォーラム, 2021.
@conference{gogami-deim2021,
title = {オンラインアンケートにおける不適切回答自動検出に向けた回答操作ログ分析},
author = {後上 正樹，松田 裕貴，荒川 豊，安本 慶一},
year = {2021},
date = {2021-03-01},
booktitle = {第13回データ工学と情報マネジメントに関するフォーラム},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
修士論文（年度）
6.
志村 朋人
ビデオ会議中のリアルタイム表情ロギング・フィードバックシステム MeeMoの開発 Masters Thesis
九州大学, 2021.
@mastersthesis{mt_2021_shimura,
title = {ビデオ会議中のリアルタイム表情ロギング・フィードバックシステム MeeMoの開発},
author = {志村 朋人},
year = {2021},
date = {2021-12-31},
school = {九州大学},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
5.
徳原 耕亮
ミーティング動画からの頷きの認識手法および半自動アノテーションシステムの提案 Masters Thesis
九州大学, 2021.
@mastersthesis{mt_2021_tokuhara,
title = {ミーティング動画からの頷きの認識手法および半自動アノテーションシステムの提案},
author = {徳原 耕亮},
year = {2021},
date = {2021-12-31},
school = {九州大学},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
4.
中川 嵩章
Web アンケート回答時のタッチ操作に基づく心理状態推定に向けた新しい回答 UI の提案 Masters Thesis
九州大学, 2021.
@mastersthesis{mt_2021_nakagawa,
title = {Web アンケート回答時のタッチ操作に基づく心理状態推定に向けた新しい回答 UI の提案},
author = {中川 嵩章},
year = {2021},
date = {2021-12-31},
school = {九州大学},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
3.
2.
卒業論文（年度）
3.
2.
大平 祐大
エレベータ利用に関する意思決定を支援する状況センシングシステムの設計と開発 Bachelor Thesis
九州大学, 2021.
@bachelorthesis{bt_2021_ohira,
title = {エレベータ利用に関する意思決定を支援する状況センシングシステムの設計と開発},
author = {大平 祐大},
year = {2021},
date = {2021-12-31},
school = {九州大学},
keywords = {},
pubstate = {published},
tppubtype = {bachelorthesis}
}