帮帮我!用物理传感器评估和可视化参与式感知任务

Mina Sakamura, Takuro Yonezawa, J. Nakazawa, K. Takashio, H. Tokuda
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引用次数: 2

摘要

智能手机等移动设备的最新进展使人类能够利用其感知能力作为传感框架的一部分。这种感知框架被称为参与式感知,它将各种感知任务(例如,是否报告、队列等待时间、交通状况等)分配给可能的参与者。然后,参与者可以选择并完成感知任务。然而,在未来,随着参与式传感的快速发展和传感任务数量的增加,用户在自己周围选择合适的传感任务一定是非常困难的。为了解决这个问题,我们提出了一个叫做Help Me!,它可以通过与物理传感器合作量化感知任务来评估和可视化感知任务的重要性。自从“救救我!”系统为传感任务提供了客观的指标,增加了用户参与传感任务的机会。我们设计并实现了Help Me!系统是物理传感器和参与式传感器的集成架构。通过最初的实验室实验,我们确认了Help Me!系统可以增加用户参与感知任务的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Help Me!: Valuing and Visualizing Participatory Sensing Tasks with Physical Sensors
Recent progress of mobile devices such as smartphones enables human to leverage their perception ability as a part of sensing framework. This sensing framework, so called participatory sensing, distributes various sensing tasks (e.g., whether report, waiting time in a queue, traffic conditions etc.) to possible participants. Then, participants can select and achieve the sensing tasks. However, in the coming future with the rapid growth of participatory sensing and increasing number of sensing tasks, it must be very hard for users to choose appropriate sensing tasks around them. To solve this problem, we propose a system called Help Me!, which can value and visualize importance of sensing tasks by quantifying them in cooperation with physical sensors. Since Help Me! system provides objective index for sensing tasks, it enhances opportunity for users to participate to sensing tasks. We designed and implemented Help Me! system as an integrated architecture of physical sensors and participatory sensors. Through initial in-lab experiment, we confirmed that Help Me! system can enhance opportunity to participate to sensing tasks for users.
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