CAREER: Multimodal Brain and Body Music Interfaces to Promote Entrainment, Connection, and Creative Science Education

职业：多模式大脑和身体音乐界面促进夹带、联系和创造性科学教育

• 批准号: 2313518
• 负责人: Grace Leslie
• 金额: $ 48.99万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-04-01 至 2027-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2313518&HistoricalAwards=false
• 关键词: CAREER; Multimodal; Brain; Body; Music

This award is funded in part under the American Rescue Plan Act of 2021 (Public Law 117-2). Entrainment is a process in which people’s natural brain and body rhythms synchronize, through stimuli such as music, which may create feelings of connection and well-being. This project addresses entrainment by building multimodal signal mapping interfaces that mediate interpersonal connections by deriving music from brain and body rhythms. The investigator will integrate sensor hardware and signal processing software to stream live brain and body data, perform calculations to extract signal characteristics, and use this to drive sound synthesis. A series of music cognition and listening experiments study physiological, behavioral, and affective entrainment phenomena, which are expected to result, from a series of multimodal brain music interfaces. A use-case study, developed in consultation with doctors, connects mothers and infants, physically separated by distance, using the multimodal entrainment interface. Mother and infant hear music derived from each other’s heartbeats and breathing. This study investigates the entrainment created in their body rhythms, and maps health and well-being effects of the virtual connection environment. For researchers, doctors, and caretakers, multimodal brain music interfaces have the potential to expand our scientific understanding of music’s beneficial effects on the brain and body, which may lead to new health and well-being interventions for adults, children, and infants. This project will result in an open-source tool kit of accessible technologies and STEM learning modules to inspire educators and students to develop projects that further our understanding of brain and body signals. These learning modules will be integrated into a summer research experience--involving high school students and their teachers--in which authentic learning encourages students’ training in the scientific method through their natural interest in music. This project develops and evaluates an interface with new multimodal signal mapping technologies that translate neurophysiological signals (e.g., EEG, ECG, EDA, respiration) into musical sound to promote biological, behavioral, and affective synchrony between individuals and computers by: (1) engineering sonification techniques that perform real-time signal processing and algorithmic music generation for transforming physiological signals into music; (2) investigating the neuropsychological mechanisms that govern auditory neurostimulation and physiological entrainment by designing new rhythmic auditory neurophysiological sonification stimuli and measuring how the human body responds; and (3) designing and evaluating a use case that involves co-generating music for infants and their mothers with each other’s physiological data. Quantitative data will address synchronies in physiology, protocol analysis of video will address behavioral synchronies, and qualitative data will address experiences. These research activities will contribute to an overarching goal of discovering how using computing to pair music and physiology can function as a significant information channel in human-centered computing. One expected use of this channel is to promote human connection and well-being through entrainment.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.

该奖项的部分资助是根据《2021 年美国救援计划法案》（公法 117-2）进行的。诱导是通过音乐等刺激使人们的自然大脑和身体节律同步的过程，这可能会产生联系和良好的感觉。该项目通过构建多模式信号映射接口来解决夹带问题，该接口通过从大脑和身体节奏中获取音乐来调节人际联系，研究人员将集成传感器硬件和信号处理软件来传输实时大脑和身体。数据，执行计算以提取信号特征，并使用它来驱动声音合成，研究生理、行为和情感夹带现象，这些现象预计是由一系列多模态大脑音乐接口产生的。与医生协商后开发的一项用例研究，使用多模式夹带界面将物理上分开的母亲和婴儿联系起来，该研究调查了所产生的夹带。对于研究人员、医生和护理人员来说，多模式大脑音乐界面有可能扩展我们对音乐对大脑和身体有益影响的科学理解。可能会为成人、儿童和婴儿带来新的健康和福祉干预措施，该项目将产生一个包含可访问技术和 STEM 学习模块的开源工具包，以激励教育工作者和学生开发进一步了解大脑的项目。这些学习模块将。融入暑期研究经验（涉及高中生及其老师），其中真实的学习鼓励学生通过他们对音乐的自然兴趣进行科学方法的培训。该项目开发并评估了与新的多模态信号映射技术的接口。将神经生理学信号（例如脑电图、心电图、EDA、呼吸）转化为音乐声音，以通过以下方式促进个人和计算机之间的生物、行为和情感同步：（1）执行实时信号处理和算法的工程声化技术将生理信号转化为音乐的音乐生成；（2）通过设计新的有节奏的听觉神经生理学发声刺激并测量人体的反应来研究控制听觉神经刺激和生理夹带的神经心理学机制；以及（3）设计和评估一个用例涉及为婴儿及其母亲利用彼此的生理数据共同生成音乐。定量数据将解决生理学的同步问题，视频协议分析将解决行为同步问题，定性数据将解决体验问题。将有助于发现如何使用计算将音乐和生理学配对作为以人为中心的计算中的重要信息通道，该通道的一个预期用途是通过夹带促进人类联系和福祉。该奖项由 NSF 授予。法定使命，并通过使用基金会的智力优点和更广泛的影响审查标准进行评估，被认为值得支持。