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靠来父母家或在自己家中提供育儿服务的育儿工人。 但是，托儿工人面临着许多挑战，例如不安全的工作环境，期望不清楚，获得培训和社会支持的不良挑战以及较低的工资，薪水很少。 这些挑战可能会因增加用于家庭托儿服务的技术而加剧，包括相机和其他智能家庭技术，以及与工人和家庭相匹配的平台（通常用于短期“演出”就业）。 该项目的目标是更好地了解这些技术构成的风险和机会，并设计有利于育儿工作者和服务，父母和孩子以及整个社会的新技术。 该团队将更好地了解当前用于家庭托儿的技术带来的风险：例如，现有的招聘平台和父母的决定如何影响招聘决策，或者智能家庭技术如何影响工人的隐私和自治。 该团队还将探索使工人和家庭之间更好匹配的技术，以及改善家庭托儿工人培训和支持网络的技术。 总体而言，该项目致力于在未来的未来，在该未来中，育儿工作技术对员工，儿童和育儿工作者进行了共识和互惠互利。该研究植根于育儿工作技术的方法，该技术优先考虑安全，可持续性以及工人和员工之间的授权。 为此，该项目的始于育儿工人，家庭，育儿服务服务以及支持各个工人业务需求的公司。 通过论坛和指导研究小组，团队将对现有的育儿生态系统建立全面的理解，并与这些利益相关者保持支持，支持性的合作伙伴关系。 这些发现和合作伙伴关系将涉及整个阶段，该阶段的重点是对新技术的设计和评估，以支持利益相关者的需求。 团队设想了改善雇用，培训和工作条件的技术进步。 对于招聘，目标是设计平台和算法，这些平台和算法将工人与家人相匹配，以满足双方的需求，同时避免围绕雇用算法有时会提高的偏见风险。 在培训中，团队会设想使用虚拟现实和虚拟代理人，以帮助工人为困难或罕见的育儿情况和与其他利益相关者的对话做准备。 对于工作条件，目标是开发系统，以帮助工人与其他工人建立联系，以寻求情感支持和福祉，围绕工作本身的信息支持以及工人的业务管理以及组织支持，以赋予工人的能力，以改善其工作条件。 技术工作将通过设计方法进行研究，在这种方法中，迭代设计方法和评估将有助于对支持育儿工作的技术的景观有更多的理解。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的影响审查标准来通过评估来支持的。

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