日本データベース学会和文論文誌に、Webアンケートにおける画面操作挙動と適当回答（Satisficing）の関係性について統計的に検証した結果が採択されました。
Mitsuru Arita, Yugo Nakamura, Shigemi Ishida, Yutaka Arakawa
ZEL: Net-Zero-Energy Lifelogging System using Heterogeneous Energy Harvesters Proceedings Article
In: The 20th International Conference on Pervasive Computing and Communications (PerCom 2022), 2022.
@inproceedings{percom2022-arita,
title = {ZEL: Net-Zero-Energy Lifelogging System using Heterogeneous Energy Harvesters},
author = {Mitsuru Arita, Yugo Nakamura, Shigemi Ishida, Yutaka Arakawa},
url = {https://arxiv.org/abs/2202.00247},
year = {2022},
date = {2022-03-21},
booktitle = {The 20th International Conference on Pervasive Computing and Communications (PerCom 2022)},
abstract = {We present ZEL, the first net-zero-energy lifelogging system that allows office workers to collect semi-permanent records of when, where, and what activities they perform on company premises. ZEL achieves high accuracy lifelogging by using heterogeneous energy harvesters with different characteristics. The system is based on a 192-gram nametag-shaped wearable device worn by each employee that is equipped with two comparators to enable seamless switching between system states, thereby minimizing the battery usage and enabling net-zero-energy, semi-permanent data collection. To demonstrate the effectiveness of our system, we conducted data collection experiments with 11 participants in a practical environment and found that the person-dependent (PD) model achieves an 8-place recognition accuracy level of 87.2% (weighted F-measure) and a static/dynamic activities recognition accuracy level of 93.1% (weighted F-measure). Additional testing confirmed the practical long-term operability of the system and showed it could achieve a zero-energy operation rate of 99.6% i.e., net-zero-energy operation.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
We present ZEL, the first net-zero-energy lifelogging system that allows office workers to collect semi-permanent records of when, where, and what activities they perform on company premises. ZEL achieves high accuracy lifelogging by using heterogeneous energy harvesters with different characteristics. The system is based on a 192-gram nametag-shaped wearable device worn by each employee that is equipped with two comparators to enable seamless switching between system states, thereby minimizing the battery usage and enabling net-zero-energy, semi-permanent data collection. To demonstrate the effectiveness of our system, we conducted data collection experiments with 11 participants in a practical environment and found that the person-dependent (PD) model achieves an 8-place recognition accuracy level of 87.2% (weighted F-measure) and a static/dynamic activities recognition accuracy level of 93.1% (weighted F-measure). Additional testing confirmed the practical long-term operability of the system and showed it could achieve a zero-energy operation rate of 99.6% i.e., net-zero-energy operation.