SAI-R: Culturally Appropriate Language and Messaging for Influencing End User Behavior During Impending Infrastructure Failures
SAI-R:在即将发生的基础设施故障期间影响最终用户行为的文化上适当的语言和消息传递
基本信息
- 批准号:2228706
- 负责人:
- 金额:$ 75万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-09-15 至 2025-08-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Strengthening American Infrastructure (SAI) is an NSF Program seeking to stimulate human-centered fundamental and potentially transformative research that strengthens America’s infrastructure. Effective infrastructure provides a strong foundation for socioeconomic vitality and broad quality of life improvement. Strong, reliable, and effective infrastructure spurs private-sector innovation, grows the economy, creates jobs, makes public-sector service provision more efficient, strengthens communities, promotes equal opportunity, protects the natural environment, enhances national security, and fuels American leadership. To achieve these goals requires expertise from across the science and engineering disciplines. SAI focuses on how knowledge of human reasoning and decision making, governance, and social and cultural processes enables the building and maintenance of effective infrastructure that improves lives and society and builds on advances in technology and engineering.The infrastructure supporting the public water supply is often the most vulnerable during times of disaster. Losing access to water can be life-threatening. Water utilities must explain to the public why conservation, boiling water, and protecting pipes are essential to avoid catastrophic infrastructure failure. Yet utilities typically lack the resources and expertise needed to effectively communicate the importance of collaborative efforts to their end-users during such critical times. One challenge is the growing number of communication channels, including social media, text messaging, and wireless emergency alerts. Another challenge is anticipating cultural differences and the need to communicate effectively with diverse populations, including Spanish-speaking and older adult populations. This SAI research project strengthens America’s water infrastructure by exploring cultural interventions with Spanish-speaking and older adult populations and using these studies to design and test messages that can impact human behavior.This project designs and tests communication strategies that utilities can use with the public during disasters. A user-centered design approach is developed in partnership with water utilities that serve predominantly Spanish-speaking populations. The goal is to understand system vulnerability concerns during disasters and to identify current communication practices. Community-centered research is used to uncover important cultural considerations that help tailor water utility messages for their audiences. The research draws from theory-informed message strategies that utilities can use to encourage cooperative end-user water-related behavior. Messages are tested through multiple communication channels, and the data are used to determine the impact of the messaging interventions on technical system performance and user attitudes and behaviors. By focusing on effective communication with diverse populations, water utilities will be in a stronger position to protect this vital infrastructure.This award is supported by the Directorate for Social, Behavioral, and Economic (SBE) Sciences.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
加强美国基础设施 (SAI) 是 NSF 的一项计划,旨在促进以人为本的基础性和潜在变革性研究,以加强美国的基础设施。有效的基础设施为社会经济活力和广泛的生活质量改善提供了坚实的基础。强大、可靠和有效的基础设施可以刺激私营部门创新、发展经济、创造就业机会、提高公共部门服务提供效率、加强社区、促进平等机会、保护自然环境、增强国家安全并增强美国的领导地位。为了实现这些目标,需要跨科学和工程学科的专业知识。 SAI 重点关注人类推理和决策、治理以及社会和文化过程的知识如何能够建设和维护有效的基础设施,从而改善生活和社会,并以技术和工程的进步为基础。支持公共供水的基础设施在灾害发生时往往是最脆弱的。失去水源可能会危及生命。自来水公司必须向公众解释为什么节约用水、烧水和保护管道对于避免灾难性的基础设施故障至关重要。然而,公用事业公司通常缺乏在这样的关键时期向最终用户有效传达协作努力的重要性所需的资源和专业知识。挑战之一是沟通渠道的数量不断增加,包括社交媒体、短信和无线紧急警报。另一个挑战是预测文化差异以及与不同人群(包括西班牙语群体和老年人群)有效沟通的需要。 SAI 研究项目通过探索对西班牙语群体和老年人群的文化干预,并利用这些研究来设计和测试可以影响人类行为的信息,从而加强美国的水基础设施。该项目设计和测试公用事业公司在灾难期间可以与公众使用的沟通策略。与主要为西班牙语人群服务的自来水公司合作开发了以用户为中心的设计方法。目标是了解灾难期间的系统漏洞问题并确定当前的通信实践。以社区为中心的研究用于发现重要的文化因素,有助于为受众量身定制水务信息。该研究借鉴了基于理论的信息策略,公用事业公司可以利用这些策略来鼓励最终用户与水相关的合作行为。通过多个通信渠道测试消息,并使用数据来确定消息传递干预对技术系统性能以及用户态度和行为的影响。通过专注于与不同人群的有效沟通,水务公司将在保护这一重要基础设施方面处于更有利的地位。该奖项由社会、行为和经济 (SBE) 科学理事会支持。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Keri Stephens其他文献
Keri Stephens的其他文献
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{{ truncateString('Keri Stephens', 18)}}的其他基金
SCC-CIVIC-PG Track B: Assessing the Feasibility of Systematizing Human-AI Teaming to Improve Community Resilience
SCC-CIVIC-PG 轨道 B:评估系统化人类与人工智能协作以提高社区复原力的可行性
- 批准号:
2043522 - 财政年份:2021
- 资助金额:
$ 75万 - 项目类别:
Standard Grant
Doctoral Dissertation Research in DRMS: Connecting Artificial Intelligence Literacy and Human-AI Decision Making Outcomes in Organizational Hiring
DRMS 博士论文研究:将人工智能素养与组织招聘中的人类人工智能决策成果联系起来
- 批准号:
2117860 - 财政年份:2021
- 资助金额:
$ 75万 - 项目类别:
Standard Grant
RAPID/Collaborative Research: Human-AI Teaming for Big Data Analytics to Enhance Response to the COVID-19 Pandemic
快速/协作研究:人类与人工智能合作进行大数据分析以增强对 COVID-19 大流行的响应
- 批准号:
2029692 - 财政年份:2020
- 资助金额:
$ 75万 - 项目类别:
Standard Grant
RAPID: The Changing Nature of "Calls" for Help with Hurricane Harvey: Comparing 9-1-1 and Social Media
RAPID:飓风“哈维”求助性质的变化:比较 9-1-1 和社交媒体
- 批准号:
1760453 - 财政年份:2017
- 资助金额:
$ 75万 - 项目类别:
Standard Grant
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