カテゴリー: 論文

@article{荒川豊2020,
title = {情報技術の進展に伴う“作業”の変化},
author = {荒川 豊},
doi = {10.32191/jjos.14.003},
issn = {2434-4176},
year = {2020},
date = {2020-12-31},
journal = {作業科学研究},
volume = {14},
number = {1},
pages = {13-17},
abstract = {IoT(Internet of Things)と AI(Artificial Intelligence)が急速に進展し，自動運転やスマートホームなども現実のものとなろうとしている.コロナウイルス感染症の広がりにより，リモートワークや遠隔講義が当たり前という時代もあっという間に到来してしまった.本講演では，情報系研究者の立場から，このような最先端の技術が「作業」に与える影響について俯瞰するともに，新しい時代の作業のあり方について述べる.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{smartcities3030037,
title = {Gamified Participatory Sensing in Tourism: An Experimental Study of the Effects on Tourist Behavior and Satisfaction},
author = {Shogo Kawanaka and Yuki Matsuda and Hirohiko Suwa and Manato Fujimoto and Yutaka Arakawa and Keiichi Yasumoto},
url = {https://www.mdpi.com/2624-6511/3/3/37},
doi = {10.3390/smartcities3030037},
issn = {2624-6511},
year = {2020},
date = {2020-07-16},
journal = {Smart Cities},
volume = {3},
number = {3},
pages = {736--757},
abstract = {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.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{doi:10.1002/1348-9585.12132,
title = {Psychosocial impact of COVID-19 for general workers},
author = {Akihito Shimazu and Akinori Nakata and Tomohisa Nagata and Yutaka Arakawa and Sachiko Kuroda and Nobuyuki Inamizu and Isamu Yamamoto},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/1348-9585.12132},
doi = {10.1002/1348-9585.12132},
year = {2020},
date = {2020-06-02},
journal = {Journal of Occupational Health},
volume = {62},
number = {1},
pages = {e12132},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{TeruhiroMIZUMOTO20202019EDP7226,
title = {Design and Implementation of Sensor-Embedded Chair for Continuous Sitting Posture Recognition},
author = {Teruhiro, MIZUMOTO and Yasuhiro, OTODA and Chihiro, NAKAJIMA and Mitsuhiro, KOHANA and Motohiro, UENISHI and Keiichi, YASUMOTO and Yutaka, ARAKAWA},
url = {https://www.jstage.jst.go.jp/article/transinf/E103.D/5/E103.D_2019EDP7226/_pdf/-char/en},
doi = {10.1587/transinf.2019EDP7226},
year = {2020},
date = {2020-05-01},
journal = {IEICE Transactions on Information and Systems},
volume = {E103.D},
number = {5},
pages = {1067-1077},
abstract = {In this paper, we design and develop a sensor-embedded office chair that can measure the posture of the office worker continuously without disturbing their job. In our system, eight accelerometers, that are attached at the back side of the fabric surface of the chair, are used for recognizing the posture. We propose three sitting posture recognition algorithms by considering the initial position of the chair and the difference of physique. Through the experiment with 28 participants, we confirm that our proposed chair can recognize the sitting posture by 75.4% (algorithm 1), 83.7% (algorithm 2), and 85.6% (algorithm 3) respectively.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}