The Impact of Real World Stressors on Problem-Solving

现实世界的压力源对解决问题的影响

• 批准号: 1734883
• 负责人: Ying Choon Wu
• 金额: $ 74.91万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-10-01 至 2023-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1734883&HistoricalAwards=false
• 关键词: Impact; Real; World; Stressors; Problem

This project examines how variability in daily stress and fatigue--previously dismissed as uncontrollable 'noise' in cognitive processing--relates to variability in learning and problem-solving. This project is motivated in part by evidence that performance on tests of executive function and memory can fluctuate as a function of recently experienced, real-world, daily stressors. Because problem-solving recruits these and other cognitive abilities, it is hypothesized that day-to-day stressors can also impact our approaches to and success with complex, open-ended challenges regularly faced in educational and professional contexts. Further, on the basis of preliminary research, it is anticipated that a subset of individuals will exhibit greater resilience to stressors than others. In other words, for some, day-to-day stressors may create contexts that facilitate tackling problems to greater or lesser degrees, whereas for others, recent stressors may impact outcomes minimally. This work wields important implications for STEM education given the increasing priority placed on problem-solving skills. It will offer new foundations for modeling individual differences in resilience and vulnerability to everyday stressors during complex tasks. Moreover, understanding stressor-related intra-individual variability can lead to strategies for improving performance of high-stakes, resource demanding operations (e.g., piloting an airplane). Building from methods of Ecological Momentary Assessment (EMA), both subjective and physiological measures of stress and fatigue will be sampled from healthy adults on a daily basis as they engage in their regular routines of daily life. These data will be uploaded by participants to a secure server via smart phone and will be monitored by research staff. When daily sampling logs suggest the recent experience of high, medium, or low levels of stressors, participants will be scheduled for a testing session to be conducted in their own home or at the research facilities of the Swartz Center for Computational Neuroscience. They will engage in STEM-related problem-solving tasks modeled after real world activities. Simultaneously, electroencephalographic (EEG) data, eye movement, and electrocardiography will be recorded and synchronized. Monitoring periods are expected to last between one and three months and encompass nine testing sessions. This project will result in a rich corpus of data that can be probed from many different angles, offering an unprecedented view of intra-individual variability in task performance as a function of day-to-day changes in physiological and cognitive state. It is expected to reveal behavioral and brain dynamics supporting insight and discovery. Further, expanding from episode-based models of the metacognitive components of problem-solving, it is expected to tease apart ways in which various theorized components--such as representing the problem space, exploring, planning a solution, and implementation--may be differently affected by daily stressors. This project is funded by Integrative Strategies for Understanding Neural and Cognitive Systems (NSF-NCS), a multidisciplinary program jointly supported by the Directorates for Computer and Information Science and Engineering (CISE), Education and Human Resources (EHR), Engineering (ENG), and Social, Behavioral, and Economic Sciences (SBE).

这个项目研究了日常压力和疲劳的可变性——以前被认为是认知过程中不可控制的“噪音”——与学习和解决问题的可变性之间的关系。有证据表明，执行功能和记忆测试的表现会随着最近经历的现实世界的日常压力而波动，这在一定程度上推动了这个项目。因为解决问题需要这些和其他认知能力，所以假设日常压力源也会影响我们在教育和专业环境中经常面临的复杂、开放式挑战的方法和成功。此外，在初步研究的基础上，预计有一部分个体对压力源的适应能力比其他人更强。换句话说，对一些人来说，日常的压力源可能会创造出有助于或多或少解决问题的环境，而对另一些人来说，最近的压力源可能对结果的影响最小。鉴于越来越重视解决问题的能力，这项工作对STEM教育具有重要意义。它将为在复杂任务中对日常压力源的恢复力和脆弱性的个体差异建模提供新的基础。此外，了解与压力源相关的个体内部可变性可以导致提高高风险、资源需求操作（例如，驾驶飞机）绩效的策略。基于生态瞬时评估（EMA）的方法，我们将对健康成人日常生活中的压力和疲劳进行主观和生理测量。这些数据将由参与者通过智能手机上传到一个安全的服务器上，并由研究人员进行监控。当每天的抽样记录显示最近的高、中或低水平的压力源时，参与者将被安排在他们自己的家中或在斯沃茨计算神经科学中心的研究设施中进行测试。他们将参与模拟现实世界活动的stem相关问题解决任务。同时，脑电图（EEG）数据、眼球运动和心电图将被记录并同步。监测期预计将持续一到三个月，包括九次测试。该项目将产生丰富的数据语料库，可以从许多不同的角度进行探索，提供一个前所未有的视角，研究任务表现中的个体内部差异，作为生理和认知状态日常变化的功能。它有望揭示支持洞察力和发现的行为和大脑动力学。此外，从解决问题的元认知组件的基于情节的模型扩展，预计将梳理出各种理论化组件（如表示问题空间、探索、计划解决方案和实施）可能受到日常压力源不同影响的方式。该项目由理解神经和认知系统的综合策略（NSF-NCS）资助，这是一个由计算机与信息科学与工程（CISE）、教育与人力资源（EHR）、工程（ENG）和社会、行为和经济科学（SBE）联合支持的多学科项目。

项目成果

A Comparison Study of Egocentric and Allocentric Visual Feedback for Motor-Imagery Brain-Computer Interfaces

• DOI: 10.1109/smc53654.2022.9945431
• 发表时间: 2022-10
• 期刊: 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
• 作者: D. L. Davis;M. Nakanishi;T. Jung

Hardware-Oriented Memory-Limited Online Artifact Subspace Reconstruction (HMO-ASR) Algorithm

• DOI: 10.1109/tcsii.2021.3124253
• 发表时间: 2021-12-01
• 期刊: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
• 影响因子: 4.4
• 作者: Van, Lan-Da;Tu, You-Cheng;Jung, Tzyy-Ping
• 通讯作者: Jung, Tzyy-Ping

Impact of Affective Multimedia Content on the Electroencephalogram and Facial Expressions

情感多媒体内容对脑电图和面部表情的影响

• DOI: 10.1038/s41598-019-52891-2
• 发表时间: 2019
• 期刊: Scientific Reports
• 影响因子: 4.6
• 作者: Siddharth, Siddharth;Jung, Tzyy-Ping;Sejnowski, Terrence J.
• 通讯作者: Sejnowski, Terrence J.

Resting State Brain Dynamics Supporting Creativity

静息状态下大脑动力学支持创造力

• 发表时间: 2018
• 期刊: Saltman Quarterly
• 作者: Raj, S.;Wu, Y. C.
• 通讯作者: Wu, Y. C.

Multi-modal Approach for Affective Computing

情感计算的多模态方法

• 发表时间: 2018
• 期刊: IEEE 40th International Engineering in Medicine and Biology Conference
• 作者: Siddharth, S. Jung