Design of remote data collection devices for social impact indicators of products in developing countries

Q1 Economics, Econometrics and Finance Development Engineering Pub Date : 2020-08-17 DOI:10.1115/detc2020-22065
Bryan J. Stringham, C. Mattson
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Abstract

Social impact indicators provide one effective way to measure the social impacts of products in developing countries and ensure that engineering design is producing positive impacts on individuals. Internet-connected, remote data collection devices can provide an effective way to use sensors to collect data required to calculate social impact indicators. These devices often allow data to be collected remotely, continuously, and less expensively than other methods that require direct interaction with users. However, many key decisions and questions must be considered during the development and deployment of such devices to avoid risk of failure. To provide a systematic way for researchers interested in employing sensor devices to identify and answer critical development questions, the stages of device development can be decomposed into Data Identification, Device Design, and Device Deployment. This paper discusses the key decisions within each stage of development along with critical questions, common options, and considerations that should be addressed during each stage of device development, thus increasing the likelihood of success. A sensor development canvas outlining the key decisions is also provided as a design tool to easily identify deficiencies in the device during development. Considering these critical questions while developing and deploying data collection devices can help researchers successfully collect social impact indicator data to ensure engineered products are producing desired positive impacts on individuals.
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发展中国家产品社会影响指标远程数据采集装置的设计
社会影响指标提供了一种有效的方法来衡量产品在发展中国家的社会影响,并确保工程设计对个人产生积极的影响。连接互联网的远程数据采集设备可以提供一种有效的方法,利用传感器收集计算社会影响指标所需的数据。这些设备通常允许远程、连续地收集数据,并且比需要与用户直接交互的其他方法成本更低。然而,在这些设备的开发和部署过程中,必须考虑许多关键决策和问题,以避免失败的风险。为了给有兴趣使用传感器设备的研究人员提供一个系统的方法来识别和回答关键的开发问题,设备开发的阶段可以分解为数据识别、设备设计和设备部署。本文讨论了每个开发阶段的关键决策,以及在设备开发的每个阶段应该解决的关键问题,常见选项和考虑因素,从而增加成功的可能性。还提供了概述关键决策的传感器开发画布,作为设计工具,可以在开发期间轻松识别设备中的缺陷。在开发和部署数据收集设备时考虑这些关键问题可以帮助研究人员成功收集社会影响指标数据,以确保工程产品对个人产生预期的积极影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Development Engineering
Development Engineering Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
4.90
自引率
0.00%
发文量
11
审稿时长
31 weeks
期刊介绍: Development Engineering: The Journal of Engineering in Economic Development (Dev Eng) is an open access, interdisciplinary journal applying engineering and economic research to the problems of poverty. Published studies must present novel research motivated by a specific global development problem. The journal serves as a bridge between engineers, economists, and other scientists involved in research on human, social, and economic development. Specific topics include: • Engineering research in response to unique constraints imposed by poverty. • Assessment of pro-poor technology solutions, including field performance, consumer adoption, and end-user impacts. • Novel technologies or tools for measuring behavioral, economic, and social outcomes in low-resource settings. • Hypothesis-generating research that explores technology markets and the role of innovation in economic development. • Lessons from the field, especially null results from field trials and technical failure analyses. • Rigorous analysis of existing development "solutions" through an engineering or economic lens. Although the journal focuses on quantitative, scientific approaches, it is intended to be suitable for a wider audience of development practitioners and policy makers, with evidence that can be used to improve decision-making. It also will be useful for engineering and applied economics faculty who conduct research or teach in "technology for development."
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