Assessing Children's Screen Time with Wearable Sensor

使用可穿戴传感器评估儿童的屏幕时间

基本信息

批准号：
10659471
负责人：
Yu Gan
金额：
$ 18.16万
依托单位：
STEVENS INSTITUTE OF TECHNOLOGY
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-08-01 至 2024-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10659471
关键词：
Accelerometer Age Algorithms Artificial Intelligence Behavior Behavior Therapy Cellular Phone Child Child Advocacy Child Development Child Health Clinical Communication Computational algorithm Computer Vision Systems Computers Computing Methodologies Data Data Set Detection Development Devices Engineering Environment Explosion Exposure to Eye Family Guidelines Health Hour Human Image Impaired cognition Interest Group Label Manuals Measurement Measures Methodology Methods Monitor Nursery Schools Obesity Ownership Parents Patient Self-Report Pattern Psychologist Psychology Reading Reporting Research Research Personnel Sleep Disorders Tablets Techniques Technology Testing Time United States Validation Vision Visual Accommodation Work World Health Organization artificial intelligence algorithm base behavioral study design digital experimental study minimally invasive novel recruit sedentary sedentary activity smartphone Application teacher temporal measurement tool tv watching visual tracking wearable device wearable sensor technology young adult

项目摘要

Project summary The explosion of digital technology ownership in the past decade has led to a dramatically increased screen exposure for children. In the United States, over 95% of families with children have a smartphone, TV, and desktop monitors, which has raised a growing concern about the impact of screens on children's health. Excessive screen exposure has been closely associated with increased eye problems, sleep disorders, obesity, and cognitive impairments among children. Due to these concerns, World Health Organization (WHO) has recently (April 2019) suggested that children between 2 and 4 should have less than 1 hour of sedentary screen time per day. However, there is an evidence gap between actual screen time in research and parental control and assessment from measurement tools. Existing methodologies of assessing screen exposure lack construct validity, as they heavily rely upon self-report, smartphone applications, or research technologies (e.g. eye- tracking glasses). Self-report is prone to reporting bias. Smartphone applications lack the capability of measuring cumulative, concurrent screen exposure across multiple screen types and are not able to confirm the identity of user (the same child or his/her parents). Research technologies, such as eye-tracking glasses, can be invasive to children and are limited to the measurement of regions of selective visual focus. Currently, there is no effective and minimally invasive tool that can be used to provide objective and accurate measurement of both sedentary screen use and screen exposure across multiple screen types. This project seeks to develop a wearable device and robust AI algorithms to provide objective and accurate screen time measurement for children. Aim 1 will develop a minimally invasive device and computer vision methods to detect screen exposure patterns and differentiate various screen type. Aim 2 will testify the design in a free-living environment on children. The proposed work will provide an important new tool to objectively and comprehensively measure children's cumulative and discrete free-living screen exposure in quantity and duration. We anticipate this technology will serve as a universal screen-time measurement tool and benefit parents, preschool teachers, and interest groups in their management and advocacy of child(ren)'s sedentary activities and media use. We also anticipate our tools will help academic researchers, clinical psychologist, and consumer researchers via providing objective measures in behavioral study and therapy.

项目概要过去十年中数字技术拥有量的爆炸式增长导致屏幕数量急剧增加儿童的暴露。在美国，超过 95% 有孩子的家庭拥有智能手机、电视和桌面显示器，这引起了人们对屏幕对儿童健康影响的日益关注。过度接触屏幕与眼部问题、睡眠障碍、肥胖、和儿童认知障碍。由于这些担忧，世界卫生组织（WHO）已最近（2019年4月）建议2至4岁的儿童久坐屏幕的时间应少于1小时每天的时间。然而，研究中的实际屏幕时间与家长控制之间存在证据差距和测量工具的评估。评估屏幕曝光的现有方法缺乏结构有效性，因为它们严重依赖自我报告、智能手机应用程序或研究技术（例如眼睛追踪眼镜）。自我报告很容易出现报告偏差。智能手机应用程序缺乏测量能力跨多种屏幕类型的累积、并发屏幕曝光，并且无法确认身份用户（同一个孩子或其父母）。研究技术，例如眼球追踪眼镜，可能是侵入性的对于儿童来说，仅限于测量选择性视觉焦点区域。目前尚无有效的和微创工具，可用于提供客观和准确的测量多种屏幕类型的屏幕使用和屏幕曝光。该项目旨在开发一款可穿戴设备强大的人工智能算法为儿童提供客观、准确的屏幕时间测量。目标1将开发微创设备和计算机视觉方法来检测屏幕曝光模式并区分各种屏幕类型。目标2将在儿童自由生活的环境中验证该设计。这拟议的工作将为客观、全面地衡量儿童的健康状况提供一个重要的新工具累积和离散的自由生活屏幕曝光的数量和持续时间。我们预计这项技术将作为通用的屏幕时间测量工具，使家长、学前教师和兴趣小组受益管理和倡导儿童久坐活动和媒体使用。我们也预计我们的工具将通过提供客观的信息来帮助学术研究人员、临床心理学家和消费者研究人员行为研究和治疗的措施。