Expanding access to webcam-based online data collection for developmental research

扩大对基于网络摄像头的在线数据收集的访问，以进行发展研究

• 批准号: 1823919
• 负责人: Laura Schulz
• 金额: $ 58.44万
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-01 至 2022-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1823919&HistoricalAwards=false
• 关键词: Expanding; access; webcam; based; online

This project will expand, Lookit, an online platform designed to conduct and promote developmental research. The platform will enable families to participate in research studies while in their own homes, using their own computers. The researchers will recruit study participants and make it possible for other researchers to post studies on the Lookit system; thereby, creating a tool for researchers, teachers, and doctors to learn how children think and grow. The project will expand knowledge about child development by making it more practical for researchers to measure small effects, include appropriate controls, work with special populations, and/or observe individual differences across repeated sessions. It will also provide a way to conduct more reproducible work, so that studies from different laboratories can more reliably build on each other. Lookit will broaden family participation in developmental studies, so that research better represents the variety of family structures, educational backgrounds, and communities of American families. In addition, Lookit will reduce barriers faced by researchers who study children but do not have access to laboratories.In-person developmental research is subject to practical constraints that limit which questions can be addressed. In particular, it is often impractical to work with large numbers of children in order to measure small or graded effects, recruit special populations, conduct longitudinal studies, or observe behaviors in homes. The proposed project aims to reduce these barriers by developing a common resource for online testing, allowing researchers to post their studies on the Lookit platform so families can participate at home. The site will be centrally hosted, with a shared participant userbase, but researchers will control access to their own data. The researchers will develop the functionality needed to bring the current system to scale; recruit a large, diverse participant userbase to enable rapid collection of large datasets online; and refine the researcher interface and produce training materials for researchers using the platform.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.

该项目将扩展Lookit，这是一个旨在开展和促进发展研究的在线平台。该平台将使家庭能够在家中使用自己的计算机参与研究。研究人员将招募研究参与者，并使其他研究人员有可能发布关于Look系统的研究；从而为研究人员、教师和医生创造一个了解儿童如何思考和成长的工具。该项目将扩大关于儿童发展的知识，使研究人员能够更实际地测量微小影响，包括适当的对照，与特殊人群合作，和/或观察重复治疗过程中的个体差异。它还将提供一种进行更可重复的工作的方法，以便来自不同实验室的研究可以更可靠地相互建立。Lookit将扩大家庭在发展研究中的参与，以便研究更好地代表美国家庭家庭结构、教育背景和社区的多样性。此外，Lookit将减少研究儿童但无法进入实验室的研究人员面临的障碍。面对面的发展研究受到实际限制，限制了可以解决的问题。特别是，为了测量小的或分级的影响、招募特殊人群、进行纵向研究或观察家庭中的行为，与大量儿童合作往往是不切实际的。拟议中的项目旨在通过开发在线测试的公共资源来减少这些障碍，允许研究人员将他们的研究发布在Lookit平台上，这样家庭就可以在家参与。该网站将集中托管，共享参与者用户基础，但研究人员将控制对他们自己的数据的访问。研究人员将开发使当前系统规模化所需的功能；招募大量、多样化的参与者用户群，以实现在线快速收集大型数据集；并改进研究人员界面并为使用该平台的研究人员制作培训材料。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。