Story Sharing and Visualization to Address Working From Home Mental Health

故事分享和可视化可解决在家工作的心理健康问题

基本信息

项目摘要

Since COVID started, Chatham Labs was an early adopter of 100% work from home for all staff beginning in early March, and like many other companies, has worked to improve the WFH situation of their employees by purchasing home office essentials. But one missing piece is access to mental health support for their workforce during these universally trying times. Chatham Labs has approached us with an idea for a technological intervention to help foster sound mental health within a work from home population. We have assembled a team that includes technologists and psychologists, as well as large-scale deployment partners in the city of Oshawa, and the Ontario Shores Centre for Mental Health Science to develop a chatbot-based solution to allow anonymous sharing of the struggles (and triumphs) of working from home and the isolation and challenges it can present. The data collected by the app will be used to create a visualization system to allow users to "find themself" in the data, to see the stories shared by others and help people feel a sense of solidarity and community. Working from home is not a new concept. Feelings of isolation existed before the emergency measures to address the COVID-19 pandemic. However, the emergency move to work from home has affected many workers who may not be suited to that form of work. The widespread and indefinite nature of the work from home situation has raises questions about the long term mental health impacts for employees across Canada. Our proposed solution will help to address these problems in a prophylactic manner using sound psychological principles and technology. Ontario Tech University will provide design and software development expertise through the Visualization for Information Analysis Lab, which specializes in the development of highly interactive natural language applications tailored to user needs, and the design of interfaces to analyze and understand text data. The Mental Health in the Digital Age lab will provide expertise in the mental health aspects of the project, including the development of the chatbot script, the provision of links to external resources, and the design of evaluation methods to understand app efficacy.
自COVID成立以来,Chatham Labs从3月初开始率先为所有员工提供100%在家工作,并像许多其他公司一样,通过购买家庭办公必需品来努力改善员工的WFH状况。但缺少的一点是,在这些普遍困难的时期,他们的员工可以获得心理健康支持。查塔姆实验室已经与我们接洽,提出了一种技术干预的想法,以帮助在家工作的人培养健康的心理健康。我们组建了一个团队,其中包括技术专家和心理学家,以及奥沙瓦市的大规模部署合作伙伴,以及安大略省海岸精神健康科学中心,以开发一种基于聊天机器人的解决方案,允许匿名分享在家工作的挣扎(和成功)以及它可能带来的孤立和挑战。该应用程序收集的数据将被用来创建一个可视化系统,让用户在数据中找到自己,看到其他人分享的故事,帮助人们感受到团结和社区的感觉。在家工作并不是一个新概念。在采取紧急措施应对新冠肺炎疫情之前,就存在孤立感。然而,紧急转移到家里工作的做法影响了许多可能不适合这种工作形式的工人。在家工作的普遍和不确定性质引发了人们对加拿大各地员工心理健康长期影响的质疑。我们建议的解决方案将有助于使用健全的心理学原则和技术以预防性的方式解决这些问题。安大略省理工大学将通过信息分析可视化实验室提供设计和软件开发专业知识,该实验室专门开发根据用户需求量身定做的高度交互的自然语言应用程序,并设计界面来分析和理解文本数据。数字时代的心理健康实验室将提供该项目心理健康方面的专业知识,包括开发聊天机器人脚本,提供指向外部资源的链接,以及设计评估方法以了解APP的疗效。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Collins, Christopher其他文献

Structure searching methods: general discussion
结构搜索方法:一般讨论
  • DOI:
    10.1039/c8fd90030b
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    3.4
  • 作者:
    Addicoat, Matthew;Adjiman, Claire S.;Arhangelskis, Mihails;Beran, Gregory J.;Brandenburg, Jan Gerit;Braun, Doris E.;Burger, Virginia;Burow, Asbjoern;Collins, Christopher;Cooper, Andrew
  • 通讯作者:
    Cooper, Andrew
The Transition to Fatherhood, Contextual Stress, and Substance Abuse: A Prospective Analysis of Rural, Emerging Adult Black American Men.
向父亲身份,情境压力和滥用毒品的过渡:对农村,新兴的成年黑人男性的前瞻性分析。
  • DOI:
    10.1080/10826084.2022.2115851
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    2
  • 作者:
    Curtis, Michael G.;Collins, Christopher;Augustine, Danielle;Kwon, Elizabeth;Reck, Ava;Zuercher, Heather;Kogan, Steven M.
  • 通讯作者:
    Kogan, Steven M.
Influence of Local Muscle Cooling on Mitochondrial-Related Gene Expression at Rest.
  • DOI:
    10.3390/ijerph191912028
  • 发表时间:
    2022-09-23
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Robins, Larry;Kwon, Monica;McGlynn, Mark L.;Rosales, Alejandro M.;Pekas, Elizabeth J.;Collins, Christopher;Park, Song-Young;Slivka, Dustin R.
  • 通讯作者:
    Slivka, Dustin R.
Planful Self-Control, Metabolic Risk, and Psychosocial Outcomes Among Young, Black Men: A Test of Skin-Deep Resilience Theory.
  • DOI:
    10.3389/fpsyg.2022.806955
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    3.8
  • 作者:
    Kogan, Steven M;Reck, Ava J;Curtis, Michael G;Zuercher, Heather;Collins, Christopher;Kwon, Elizabeth;Augustine, Danielle A
  • 通讯作者:
    Augustine, Danielle A
A Density Functional Tight Binding Layer for Deep Learning of Chemical Hamiltonians
  • DOI:
    10.1021/acs.jctc.8b00873
  • 发表时间:
    2018-11-01
  • 期刊:
  • 影响因子:
    5.5
  • 作者:
    Li, Haichen;Collins, Christopher;Yaron, David J.
  • 通讯作者:
    Yaron, David J.

Collins, Christopher的其他文献

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{{ truncateString('Collins, Christopher', 18)}}的其他基金

Linguistic Information Visualization
语言信息可视化
  • 批准号:
    CRC-2018-00072
  • 财政年份:
    2022
  • 资助金额:
    $ 3.64万
  • 项目类别:
    Canada Research Chairs
Guidance in Visual Analytics through Mixed-Initiative and Implicit Interaction
通过混合主动和隐式交互进行可视化分析的指导
  • 批准号:
    RGPIN-2021-04353
  • 财政年份:
    2022
  • 资助金额:
    $ 3.64万
  • 项目类别:
    Discovery Grants Program - Individual
Guidance in Visual Analytics through Mixed-Initiative and Implicit Interaction
通过混合主动和隐式交互进行可视化分析的指导
  • 批准号:
    RGPAS-2021-00033
  • 财政年份:
    2022
  • 资助金额:
    $ 3.64万
  • 项目类别:
    Discovery Grants Program - Accelerator Supplements
Guidance in Visual Analytics through Mixed-Initiative and Implicit Interaction
通过混合主动和隐式交互进行可视化分析的指导
  • 批准号:
    RGPIN-2021-04353
  • 财政年份:
    2021
  • 资助金额:
    $ 3.64万
  • 项目类别:
    Discovery Grants Program - Individual
Linguistic Information Visualization
语言信息可视化
  • 批准号:
    CRC-2018-00072
  • 财政年份:
    2021
  • 资助金额:
    $ 3.64万
  • 项目类别:
    Canada Research Chairs
Guidance in Visual Analytics through Mixed-Initiative and Implicit Interaction
通过混合主动和隐式交互进行可视化分析的指导
  • 批准号:
    RGPAS-2021-00033
  • 财政年份:
    2021
  • 资助金额:
    $ 3.64万
  • 项目类别:
    Discovery Grants Program - Accelerator Supplements
Mixed-Initiative Visual Text Analytics: Data-driven Views and Analytic Guidance
混合主动视觉文本分析:数据驱动的视图和分析指导
  • 批准号:
    RGPIN-2015-03916
  • 财政年份:
    2020
  • 资助金额:
    $ 3.64万
  • 项目类别:
    Discovery Grants Program - Individual
Linguistic Information Visualization
语言信息可视化
  • 批准号:
    CRC-2018-00072
  • 财政年份:
    2020
  • 资助金额:
    $ 3.64万
  • 项目类别:
    Canada Research Chairs
Linguistic Information Visualization
语言信息可视化
  • 批准号:
    CRC-2018-00072
  • 财政年份:
    2019
  • 资助金额:
    $ 3.64万
  • 项目类别:
    Canada Research Chairs
Mixed-Initiative Visual Text Analytics: Data-driven Views and Analytic Guidance
混合主动视觉文本分析:数据驱动的视图和分析指导
  • 批准号:
    RGPIN-2015-03916
  • 财政年份:
    2019
  • 资助金额:
    $ 3.64万
  • 项目类别:
    Discovery Grants Program - Individual

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