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.

该奖项的部分资金来自2021年美国救援计划法案（公法117 - 2）。“牵引”是一个过程，在这个过程中，人们的自然大脑和身体节奏通过音乐等刺激同步，这可能会产生联系和幸福的感觉。该项目通过构建多模态信号映射界面来解决夹带问题，该界面通过从大脑和身体节奏中提取音乐来调解人际关系。研究人员将集成传感器硬件和信号处理软件，以实时传输大脑和身体数据，执行计算以提取信号特征，并使用此来驱动声音合成。一系列的音乐认知和听力实验研究生理，行为和情感的夹带现象，这是预期的结果，从一系列的多模态大脑音乐接口。与医生协商开发的用例研究使用多模式夹带界面将身体上相隔一定距离的母亲和婴儿联系起来。母亲和婴儿听到来自彼此心跳和呼吸的音乐。本研究调查了他们的身体节奏中产生的夹带，并绘制了虚拟连接环境对健康和幸福的影响。对于研究人员、医生和看护人员来说，多模态大脑音乐界面有可能扩大我们对音乐对大脑和身体有益影响的科学理解，这可能会为成人、儿童和婴儿带来新的健康和福祉干预措施。该项目将产生一个开源工具包，其中包括可访问的技术和STEM学习模块，以激励教育工作者和学生开发项目，进一步了解大脑和身体信号。这些学习模块将被纳入一个夏季研究经验-涉及高中学生和他们的老师-其中真实的学习鼓励学生通过他们对音乐的自然兴趣的科学方法的培训。该项目开发并评估了一种与新的多模态信号映射技术的接口，该技术可以转换神经生理信号（例如，EEG、ECG、EDA、呼吸）转换成音乐声音，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）工程化发音技术，其执行实时信号处理和算法音乐生成，用于将生理信号转换成音乐;（二）通过设计新的节律性听觉刺激，研究支配听觉神经刺激和生理夹带的神经心理学机制，神经生理学发声刺激和测量人体如何响应;以及（3）设计和评估涉及利用彼此的生理数据为婴儿及其母亲共同生成音乐的用例。定量数据将解决生理学上的同步问题，视频协议分析将解决行为同步问题，定性数据将解决经验问题。这些研究活动将有助于实现一个总体目标，即发现如何使用计算将音乐和生理学配对，从而在以人为中心的计算中发挥重要的信息渠道的作用。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。