FW-HTF-R: The Future of Equitable Childcare Worker Technologies

FW-HTF-R：公平儿童保育员技术的未来

• 批准号: 2222242
• 负责人: Daniela Rosner
• 金额: $ 180万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-01-01 至 2025-12-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2222242&HistoricalAwards=false
• 关键词: FW; HTF; Future; Equitable; Childcare

In-home childcare work is critical to society; millions of parents rely on childcare workers who either come to parents' homes, or who provide childcare service in their own homes. However, childcare workers face a number of challenges such as unsafe working environments and unclear expectations, poor access to training and social support, and low wages with minimal paid time off. These challenges may be exacerbated by technologies increasing used for in-home childcare, including cameras and other smart home technologies, and platforms that match workers and families (often for short-term "gig" employment). This project's goal is to better understand the risks and opportunities these technologies pose and to design new technologies that benefit childcare workers and services, parents and children, and society as a whole. The team will develop better understanding of risks posed by technologies currently used for in-home childcare: for instance, how existing hiring platforms and parents' decisions affect and perhaps bias hiring decisions, or how smart home technology may affect workers' privacy and autonomy. The team will also explore technologies that make better matches between workers and families, as well as technologies that improve in-home childcare workers' training and support networks. As a whole, this project works toward a future in which childcare work technology is consensually used and mutually beneficial for employees, children, and childcare workers.The research is rooted in approaches to childcare work technology that prioritize safety, sustainability, and empowerment among workers and employees. To that end, the project's starts with sustained empirical research with childcare workers, families, childcare placement services, and companies that support individual workers' business needs. Through forums and directed research groups, the team will build a comprehensive understanding of the existing childcare ecosystem and sustained, supportive partnerships with these stakeholders. These findings and partnerships will undergird the phase, which focuses on the design and evaluation of new technologies to support stakeholders' needs. The team envisions technical advances that improve hiring, training, and working conditions. For hiring, the goal is to design platforms and algorithms that match workers with families to meet both parties' needs while avoiding risks around bias that hiring algorithms sometimes raise. For training, the team envisions using virtual reality and virtual agents to help workers prepare for difficult or rare childcare situations and conversations with other stakeholders. For working conditions, the goal is to develop systems that help workers connect with other workers for emotional support and well-being, informational support around both the work itself and the management of the worker's business, and organizational support toward empowering workers to improve their working conditions. The technology work will take a research through design approach in which both iterative design approaches and the evaluation will contribute to a more formal understanding of the landscape of technologies to support childcare work.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.

家庭托儿工作对社会至关重要；数以百万计的父母依赖托儿工作者，他们要么来到父母家中，要么在自己家里提供托儿服务。 然而，儿童保育工作者面临着许多挑战，例如不安全的工作环境和不明确的期望、难以获得培训和社会支持、工资低且带薪休假最少。 这些挑战可能会因越来越多地用于家庭儿童保育的技术而加剧，这些技术包括摄像头和其他智能家居技术，以及匹配工人和家庭的平台（通常用于短期“零工”就业）。 该项目的目标是更好地了解这些技术带来的风险和机遇，并设计有利于儿童保育工作者和服务、父母和儿童以及整个社会的新技术。 该团队将更好地了解目前用于家庭儿童保育的技术所带来的风险：例如，现有的招聘平台和家长的决定如何影响甚至可能偏见的招聘决定，或者智能家居技术如何影响工人的隐私和自主权。 该团队还将探索使工人和家庭之间更好匹配的技术，以及改善家庭儿童保育人员培训和支持网络的技术。 总体而言，该项目致力于实现一个未来，即儿童保育工作技术得到一致使用，并为员工、儿童和儿童保育工作者带来互惠互利。该研究植根于儿童保育工作技术方法，优先考虑安全、可持续性和工人赋权和员工。 为此，该项目首先对儿童保育工作者、家庭、儿童保育安置服务以及支持个人工作者业务需求的公司进行持续的实证研究。 通过论坛和定向研究小组，该团队将全面了解现有的儿童保育生态系统，并与这些利益相关者建立持续、支持性的伙伴关系。 这些发现和合作伙伴关系将巩固该阶段，该阶段的重点是新技术的设计和评估，以支持利益相关者的需求。 该团队设想通过技术进步来改善招聘、培训和工作条件。 对于招聘，目标是设计平台和算法，将员工与家庭匹配起来，以满足双方的需求，同时避免招聘算法有时会引起的偏见风险。 在培训方面，该团队设想使用虚拟现实和虚拟代理来帮助员工为困难或罕见的托儿情况以及与其他利益相关者的对话做好准备。 对于工作条件，目标是开发系统，帮助工人与其他工人建立联系，以获得情感支持和福祉、围绕工作本身和工人业务管理的信息支持，以及赋予工人改善工作能力的组织支持状况。 该技术工作将通过设计方法进行研究，其中迭代设计方法和评估都将有助于更正式地理解支持儿童保育工作的技术前景。该奖项反映了 NSF 的法定使命，并被认为值得通过以下方式获得支持：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。

项目成果

Autospeculation: Reflecting on the Intimate and Imaginative Capacities of Data Analysis

自我推测：反思数据分析的亲密和想象力

• DOI: 10.1145/3544548.3580902
• 发表时间: 2023
• 期刊: CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
• 作者: Kinnee, Brian;Desjardins, Audrey;Rosner, Daniela
• 通讯作者: Rosner, Daniela