I/UCRC FRP: Collaborative Research: MDONS (Massively Distributed Online Neuroscience) for Improving Virtual Experience

I/UCRC FRP：合作研究：用于改善虚拟体验的 MDONS（大规模分布式在线神经科学）

• 批准号: 1432946
• 负责人: Milton Halem
• 金额: $ 7万
• 依托单位: University of Maryland Baltimore County
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-15 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1432946&HistoricalAwards=false
• 关键词: UCRC; FRP; Collaborative; Research; MDONS

The project proposes to create a distributed, multi-user social computing environment that will develop the capabilities of human Electroencephalography (EEG) to analyze users engagement with digitally based experiences. For this project, users will wear non-invasive, EEG headsets while navigating a shared virtual world. Beginning with a handful of EEG systems, the team will scale up over the course of the project to gather signals from dozens of users, providing a basis for larger scale studies. By comparing the EEG signals with each participants activities in virtual world, and with the brain activity and the activities of other users, a model of human brain activity will be developed for different types of behavior profiles and subjective states. This will allow significant improvement for the development of neural markers of human perceptual, cognitive and affective states, the parsing of EEG signals, the applicability of EEG interfaces to new types of experiences, all of which can enhance distance learning, collaborative distributed work, improved mobile computing interfaces and health care applications. The project will advance the capabilities for determining an individuals cognitive state by the creation of new computing methods utilizing comparative EEG analysis and data analysis of event states in a digital simulation. Bringing methods of large scale data analysis to articulate patterns across many users in the situated milieu of the online virtual world will create a new method to utilize EEG analysis to infer human subjective experience. The necessity of conducting this analysis in real-time, with data gathered from distributed, wireless EEG instruments will provide the impetus for utilizing accelerated hybrid multi-core techniques to bear on this domain.The results from the project will be applicable for a variety of digital environments including computer aided learning and training, digitally mediated collaborative work environments, visualization of complex data sets, and digitally based entertainment experiences such as virtual worlds and computer games. The project will improve the functionality and outcomes of these digital media environments, better adjusting them to the cognitive states of the users. The PIs will train and employ a diverse body of participants to be involved in these activities. As part of an internship program at the Preuss School, a nationally recognized middle and high school on the campus of UCSD, UCSD faculty and staff mentor high school seniors to provide these students valuable experiences in a research laboratory. In addition, UMBC operates the very successful Meyerhoff program for minority students, primarily African-American, for which over 90% of a yearly entrance number of more than fifty go on to graduate school in science or engineering. Many of these students are computer science majors that have had the elective graduate course of Service Oriented Computing for Scientists and Engineers.

该项目提议创建一个分布式、多用户社交计算环境，该环境将开发人类脑电图（EEG）的能力来分析用户对数字化体验的参与度。在这个项目中，用户将佩戴非侵入式脑电图耳机，同时浏览共享的虚拟世界。从少量脑电图系统开始，该团队将在项目过程中扩大规模，收集来自数十名用户的信号，为更大规模的研究提供基础。通过将脑电图信号与每个参与者在虚拟世界中的活动以及大脑活动和其他用户的活动进行比较，将针对不同类型的行为概况和主观状态开发人脑活动模型。这将显着改善人类感知、认知和情感状态的神经标记的开发、脑电图信号的解析、脑电图接口对新型体验的适用性，所有这些都可以增强远程学习、协作分布式工作、改进的移动计算接口和医疗保健应用。该项目将通过利用比较脑电图分析和数字模拟中事件状态的数据分析创建新的计算方法来提高确定个人认知状态的能力。采用大规模数据分析方法来阐明在线虚拟世界环境中许多用户的模式，将创建一种利用脑电图分析来推断人类主观体验的新方法。利用从分布式无线脑电图仪器收集的数据进行实时分析的必要性将为利用加速混合多核技术来解决该领域提供动力。该项目的结果将适用于各种数字环境，包括计算机辅助学习和培训、数字化协作工作环境、复杂数据集的可视化以及基于数字的娱乐体验（例如虚拟世界和计算机） 游戏。该项目将改进这些数字媒体环境的功能和结果，更好地调整它们以适应用户的认知状态。 PI 将培训和雇用多元化的参与者来参与这些活动。作为加州大学圣地亚哥分校校园内一所全国认可的初中和高中普鲁斯学院实习计划的一部分，加州大学圣地亚哥分校的教职员工指导高中生，为这些学生提供研究实验室的宝贵经验。此外，UMBC 为少数族裔学生（主要是非裔美国人）开设了非常成功的 Meyerhoff 项目，每年 50 多名入学学生中，90% 以上继续进入科学或工程研究生院。其中许多学生是计算机科学专业的学生，​​他们选修了面向科学家和工程师的面向服务计算研究生课程。