Enabling Mobile Device-Based Stimulus Presentation in Biobehavioral Research

描述（由申请人提供）：高性能移动的设备（如智能手机和平板电脑）的普及有可能显著拓宽和改进生物行为科学中使用的数据收集方法。当代的移动的设备能够进行高度吸引人和毫秒级精确的刺激呈现、反应时间测量和远程数据检索。然而，尽管有这些功能，它们作为研究工具的潜力在很大程度上仍未实现，因为目前还没有端到端的解决方案来进行行为研究。建议的Paradigm为移动的平台将是第一个完整的刺激演示系统的移动的设备适合毫秒级精确的生物行为研究。我们的平台将使科学家能够为广泛的基础和临床研究创建引人入胜、便携式和毫秒级精确的实验和评估。例如，在发育研究中，该平台能够使用这些设备上可用的更自然的反应（例如摇动，旋转和滑动），这将有助于解决年龄组中的任务完成问题，例如幼儿，其有限的运动协调和注意力跨度禁止使用传统的基于台式计算机的实验。该平台的灵活性、准确性和低成本也将使其能够取代临床研究中常用的昂贵且不灵活的神经认知评估工具。此外，它还将提供将实验结果安全上传到基于“云”的存储的能力 该系统还可向参与者反复发出提醒，使其非常适合远程数据收集。例如，在通常在广泛的地理区域进行的大规模纵向研究中，该平台将能够促进自我管理的评估。在第一阶段，我们将开发一个平台原型（Aim 1），该平台能够在苹果的iOS环境（适用于iPhone、iPod和iPad）中运行实验。我们将使用一套全面的基准测试来演示该平台的计时精度，该基准测试在发布时将是第一个测量生物行为科学（目标2）中使用的移动的设备的计时能力和适用性的研究。最后，我们将通过在两个不同的NIH资助的实验室中对学龄前儿童和成人进行小规模研究，对我们的原型进行“真实的世界”测试（目标3）。这些研究将使我们能够表征原型的整体适用性和性能，为II期的进一步开发和更广泛的器械支持奠定基础。该系统的商业化将对生物行为研究产生广泛影响，提高从关键人群收集的数据的质量和数量，并实现连续、纵向数据收集的新模式。

DESCRIPTION (provided by applicant): The ubiquity of high-performance mobile devices, such as smartphones and tablets, has the potential to significantly broaden and improve the methods of data collection used in the biobehavioral sciences. Contemporary mobile devices are capable of highly engaging and millisecond accurate stimulus presentation, reaction time measurements, and remote data retrieval. Yet despite these capabilities, their potential as a research tool remains largely unrealized because there is no existing end-to-end solution for conducting behavioral research. The proposed Paradigm for Mobile platform will be the first complete stimulus presentation system for mobile devices suitable for millisecond accurate biobehavioral research. Our platform will enable scientists to create engaging, portable, and millisecond accurate experiments and assessments for a wide range of basic and clinical research. For example, in developmental research, the platform's ability to use the more naturalistic responses available on these devices (e.g. shake, spin, and swipe) will help address issues of task completion in age groups such as toddlers whose limited motor coordination and attention span prohibit the use of traditional desktop computer-based experiments. The platform's flexibility, accuracy and low cost will also allow it to serve as a replacement for expensive and inflexible neurocognitive assessment tools often used in clinical research. Further, it will offer the ability to securely upload experiment results to a "cloud" based storage system and issue repeated reminders to participants making it well-suited for remote data collection. For example, in large-scale longitudinal studies, which are often conducted over wide geographical areas, the platform will be able to facilitate self-administered assessments. In Phase I we will develop a prototype of the platform (Aim 1) that is able to run experiments in Apple's iOS environment (for iPhone, iPod and iPad). We will demonstrate the platform's timing accuracy using a comprehensive suite of benchmarks which, when published, will be the first study to measure the timing capabilities and suitability of mobile devices for use in the biobehavioral sciences (Aim 2). Finally, we will conduct "real world" tests of our prototype by running small-scale studies with preschoolers and adults in two different NIH funded laboratories (Aim 3). These studies will allow us to characterize the overall suitability and performance of our prototype, establishing a foundation for further development and broader device support in Phase II. The commercialization of this system would have a broad impact on biobehavioral research by improving the quality and quantity of data collected from key populations, and enabling new modes of continuous, longitudinal data collection.