CHS: Medium: Collaborative Research: Managing Stress in the Workplace: Unobtrusive Monitoring and Adaptive Interventions

CHS：媒介：协作研究：管理工作场所的压力：不显眼的监控和适应性干预

基本信息

批准号：
1704889
负责人：
Gloria Mark
金额：
$ 42万
依托单位：
University of California-Irvine
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2017
资助国家：
美国
起止时间：
2017-08-01 至 2022-07-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1704889&HistoricalAwards=false
关键词：
CHS Medium Collaborative Research Managing

项目摘要

Workplace stress is a serious problem that has a direct and negative impact on health, happiness, and productivity. Current approaches for both measuring stress and reducing it are limited; measurements typically rely on self-report or obtrusive sensors, while people often don't seek treatment until the stress has built to dangerous levels (or at all, if they are afraid of other people's judgments). This project's goal is to develop methods both to detect stress and provide personalized relaxation exercises, in real time and in the work context. To detect stress, the research team will study how well data from commonly available devices at work such as webcams, fitness trackers, and keyboards can predict individuals' stress levels. To reduce stress, the team will develop a suite of brief relaxation exercises and a system that uses predicted stress levels to recommend different exercises, learning over time which ones work best for a particular person. These predictive models and interventions will be tested in a long-term study in a real office environment, both validating the work and providing direct effects on experimental participants' well-being. The project will also have direct educational impacts for groups underrepresented in STEM fields and generate anonymized datasets that other researchers can use. The team will develop experimental methods to reliably extract stress cues from commodity devices, using a suite of cognitive tasks that represent knowledge work and typical workplace stressors (e.g., time pressure, noise, distractions). Participants will perform the tasks and experience stressors while the team collects behavioral data from the commodity devices and ground truth stress measurements using physiological signals derived from thermal imaging. The team will evaluate how well features derived from the sensed behavioral data, using different sets of devices, can predict the ground truth stress data and how it varies based on specific stressors. The team will also develop a framework to deliver brief stress-reduction exercises that promote deep breathing, a proven effective and learnable stress reduction technique. The team will use iterative prototyping to develop novel, engaging mobile apps that use biofeedback, games, and music to support breathing exercises; these will be delivered by a multi-arm bandit-based recommendation system that considers the current context (predicted stress and stressors, time of day, particular computer activities) along with historical exercise adherence and results to suggest effective exercises. The stress sensing models and intervention framework will be validated through a series of lab and field studies with information workers at a software company, collecting stress data in situ with ecological momentary assessment techniques, validated survey instruments for stress and affect, and interviews.

工作场所压力是一个严重的问题，对健康，幸福和生产力产生直接和负面影响。当前测量应力和减少压力的方法受到限制。测量通常依赖于自我报告或引人注目的传感器，而人们通常不寻求治疗，直到压力建立在危险水平上（或者，如果他们害怕别人的判断）。该项目的目标是开发方法，以实时和在工作环境中，实时和提供个性化的放松练习。为了检测压力，研究团队将研究工作中常见设备（例如网络摄像头，健身追踪器和键盘）的数据如何预测个人的压力水平。为了减轻压力，团队将开发一套简短的放松练习和一个使用预测的压力水平推荐不同练习的系统，随着时间的推移学习哪些人最适合特定人。这些预测模型和干预措施将在真实办公环境中的长期研究中进行测试，既可以验证工作又对实验参与者的福祉提供直接影响。该项目还将对STEM领域中代表性不足的群体产生直接的教育影响，并生成其他研究人员可以使用的匿名数据集。该团队将使用代表知识工作和典型的工作场所压力源（例如，时间压力，噪声，分心）的认知任务套件来开发实验方法，以可靠地从商品设备中提取压力提示。参与者将执行任务并经历压力源，而团队则使用从热成像中得出的生理信号从商品设备中收集行为数据，并从商品设备中收集地面真相压力。该团队将使用不同的设备集从感知的行为数据中得出的特征如何预测地面真相压力数据以及它如何根据特定压力源变化。该团队还将开发一个框架，以进行简短的压力练习，以促进深呼吸，这是一种有效且可学习的减轻压力技术。该团队将使用迭代原型开发使用生物反馈，游戏和音乐来支持呼吸练习的新颖，引人入胜的移动应用程序；这些将由基于多臂强盗的推荐系统提供，该系统考虑当前的环境（预测的压力和压力，一天中的时间，特定的计算机活动）以及历史练习的依从性和结果，以提出有效的练习。应力感应模型和干预框架将通过与软件公司的信息工作者进行一系列实验室和现场研究来验证，并通过生态瞬时评估技术，对压力和情感的调查工具进行了验证，以原位收集压力数据。

项目成果

期刊论文数量（6）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Stress and productivity patterns of interrupted, synergistic, and antagonistic office activities

中断、协同和对抗办公室活动的压力和生产力模式

DOI：
10.1038/s41597-019-0249-5
发表时间：
2019
期刊：
Scientific Data
影响因子：
9.8
作者：
Zaman, Shaila;Wesley, Amanveer;Silva, Dennis Rodrigo Da Cunha;Buddharaju, Pradeep;Akbar, Fatema;Gao, Ge;Mark, Gloria;Gutierrez-Osuna, Ricardo;Pavlidis, Ioannis
通讯作者：
Pavlidis, Ioannis

An Empirical Study Comparing Unobtrusive Physiological Sensors for Stress Detection in Computer Work

DOI：
10.3390/s19173766
发表时间：
2019-09-01
期刊：
SENSORS
影响因子：
3.9
作者：
Akbar, Fatema;Mark, Gloria;Gutierrez-Osuna, Ricardo
通讯作者：
Gutierrez-Osuna, Ricardo

Emotional Footprints of Email Interruptions

DOI：
10.1145/3313831.3376282
发表时间：
2020-01-01
期刊：
PROCEEDINGS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'20)
影响因子：
0
作者：
Blank, Christopher;Zaman, Shaila;Pavlidis, Ioannis
通讯作者：
Pavlidis, Ioannis